Tag Archives: Oregon State University

Spaghetti & Networks: Oodles of Nodes

Picture a bowl of spaghetti and meatballs. There are pristine noodles, drenched in rich tomato sauce, topped with savory meatballs. Now imagine you’re only allowed to eat just one noodle, and one meatball. You’re tasked with finding the very best, the most interesting bite out of this bowl of spaghetti. It might sound absurd, but replace spaghetti with ‘edges’ and meatballs with ‘nodes’ and you’ve got a network.

An image of a network from Nolan’s recent publication. The lines are ‘edges’ and the dots are ‘nodes’.

Computational biologists like our guest this week use networks to uncover meaningful relationships, or the tastiest spaghetti noodle and meatball, between biological entities.
Joining us this week is Nolan Newman, a PhD candidate in the College of Pharmacy under PI Andriy Morgun. Nolan’s research lies at the intersection of math, statistics, computer science, and biology. He’s looking at how networks, such as covariation networks, can be used to look for relationships and correlations between genes, microbes, and other factors from massive datasets which compare thousands or even of biological entities. With datasets this large and complex, it can be difficult to pare down just the important or interesting relationships – like trying to scoop a single bowl of spaghetti from a giant tray at a buffet, and then further narrowing it down to pick just one interesting noodle.

Nolan Newman, PhD candidate


Nolan is further interested in how different statistical thresholds and variables contribute to how the networks ‘look’ when they are changed. If only noodles covered in sauce are considered ‘interesting’, then all of the sauce-less noodles are out of the running. But what if noodles are only considered ‘sauce-covered’ if they are 95% or more covered? Could you be missing out on perfectly delicious, interesting noodles by applying this constraint?


If you’re left scratching your head and a little hungry, fear not. We’ll chat about all things computational biology, networks, making meaning out of chaos, and why hearing loss prompted Nolan to begin a career in science, all on this week’s episode of Inspiration Dissemination. Catch the episode live at 7 PST at 88.7 FM or https://kbvrfm.orangemedianetwork.com/, or catch the podcast after the episode on any podcast platform.

AI that benefits humans and humanity

When you think about artificial intelligence or robots in the everyday household, your first thought might be that it sounds like science fiction – like something out of the 1999 cult classic film “Smart House”. But it’s likely you have some of this technology in your home already – if you own a Google Home, Amazon Alexa, Roomba, smart watch, or even just a smartphone, you’re already plugged into this network of AI in the home. The use of this technology can pose great benefits to its users, spanning from simply asking Google to set an alarm to wake you up the next day, to wearable smart devices that can collect health data such as heart rate. AI is also currently being used to improve assistive technology, or technology that is used to improve the lives of disabled or elderly individuals. However, the rapid explosion in development and popularity of this tech also brings risks to consumers: there isn’t great legislation yet about the privacy of, say, healthcare data collected by such devices. Further, as we discussed with another guest a few weeks ago, there is the issue of coding ethics into AI – how can we as humans program robots in such a way that they learn to operate in an ethical manner? Who defines what that is? And on the human side – how do we ensure that human users of such technology can actually trust them, especially if they will be used in a way that could benefit the user’s health and wellness?

Anna Nickelson, a fourth-year PhD student in Kagan Tumer’s lab in the Collaborative Robotics and Intelligent Systems (CoRIS) Institute in the Department of Mechanical, Industrial and Manufacturing Engineering, joins us this week to discuss her research, which touches on several of these aspects regarding the use of technology as part of healthcare. Also a former Brookings Institute intern, Anna incorporates not just coding of robots but far-reaching policy and legislation goals into her work. Her research is driven by a very high level goal: how do we create AI that benefits humans and humanity?

Anna Nickelson, fourth year PhD student in the Collaborative Robotics and Intelligent Systems Institute.

AI for social good

When we think about how to create technology that is beneficial, Anna says that there are four major considerations in play. First is the creation of the technology itself – the hardware, the software; how technology is coded, how it’s built. The second is technologists and the technology industry – how do we think about and create technologies beyond the capitalist mindset of what will make the most money? Third is considering the general public’s role: what is the best way to educate people about things like privacy, the limitations and benefits of AI, and how to protect themselves from harm? Finally, she says we must also consider policy and legislation surrounding beneficial tech at all levels, from local ordinances to international guidelines. 

Anna’s current research with Dr. Tumer is funded by the NSF AI Institute for Collaborative Assistance and Responsive Interaction for Networked Groups (AI-CARING), an institute through the National Science Foundation that focuses on “personalized, longitudinal, collaborative AI, enabling the development of AI systems that learn personalized models of user behavior…and integrate that knowledge to support people and AIs working together”, as per their website. The institute is a collaboration between five universities, including Oregon State University and OHSU. What this looks like for Anna is lots of code writing and simulations studying how AI systems make trade-offs between different objectives.For this she looks at machine learning for decision making, and how multiple robots or AIs can work together towards a specific task without necessarily having to communicate with each other directly. For this she looks at machine learning for decision making in robots, and how multiple robots or AIs can work together towards a specific task without necessarily having to communicate with each other directly. Each robot or AI may have different considerations that factor into how they accomplish their objective, so part of her goal is to develop a framework for the different individuals to make decisions as part of a group.

With an undergraduate degree in math, a background in project management in the tech industry, engineering and coding skills, and experience working with a think tank in DC on tech-related policy, Anna is uniquely situated to address the major questions about development technology for social good in a way that mitigates risk. She came to graduate school at Oregon State with this interdisciplinary goal in mind. Her personal life goal is to get experience in each sector so she can bring in a wide range of perspectives and ideas. “There are quite a few people working on tech policy right now, but very few people have the breadth of perspective on it from the low level to the high level,” she says. 

If you are interested in hearing more about Anna’s life goals and the intersection of artificial intelligence, healthcare, and policy, join us live at 7 PM on Sunday, May 7th on https://kbvrfm.orangemedianetwork.com/, or after the show wherever you find your podcasts. 

Red, Red, (smoky) Wine

Did you know humans have the ability to “taste” through smelling? Well we do, and it is through a process called retronasal olfaction. This fancy sounding term is just some of the ways that food scientists, such as our guest speaker this week, recent M.S. graduate and soon to be Ph.D. student, Jenna Fryer studies how flavors, or tastes through smell, are understood and what impact external factors have on them. Specifically, Fryer looks at the ways fires affect the flavors of wine, a particularly timely area of research due to the recent wave of devastating wildfires in Oregon. 

Fryer at OSU’s vineyard

Having always been interested in food science, Fryer examines the ways smoke penetrates wine grapes. She does this by studying the ways people taste the smoke and how they can best rid the smokiness in their mouths, because spoiler, it has a pretty negative impact on the flavor. This research has forced her to develop novel ways to explain and standardize certain flavors, such as ashiness and mixed berry, as well as learn what compounds are the best palate cleansers. She will continue this research with her Ph.D. where she plans to figure out what compounds make that smoky flavor, and how best to predict which wines will taste like smoke in the future. 

Through this work, Fryer has made some fascinating discoveries, such as how many people can actually detect the smoke flavor (because not everyone can), how best to create an ashy flavor (hint, it has to do with a restaurant in the UK and leeks), why red wine is more affected by smoke than white wines, and what the difference is between flavor and taste. 

Fryer processing wine samples

Tune in live at 7pm on Sunday April 24th or listen to this episode anywhere you get your podcasts to learn about Fryer’s research! 

And, if you are interested in being a part of a future wine study (and who wouldn’t want to get paid to taste wine), click on this link to sign up! 

I, Roboethicist

This week we have Colin Shea-Blymyer, a PhD student from OSU’s new AI program in the departments of Electrical Engineering and Computer Science, joining us to talk about coding computer ethics. Advancements in artificial intelligence (AI) are exploding, and while many of us are excited for a world where our Roomba’s evolve into Rosie’s (á la The Jetsons) – some of these technological advancements require grappling with ethical dilemmas. Determining how these AI technologies should make their decisions is a question that simply can’t be answered, and is best left to be debated by the spirits of John Stewart Mill and Immanual Kant. However, as a society, we are in dire need of a way to communicate ethics in a language that machines can understand – and this is exactly what Colin is developing.

Making An Impact: why coding computer ethics matters

A lot of AI is developed through machine learning – a process where software becomes more accurate without being explicitly told to do so. One example of this is through image recognition softwares. By feeding these algorithms with more and more photos of a cat – it will get better at recognizing what is and isn’t a cat. However, these algorithms are not perfect. How will the program treat a stuffed animal of a cat? How will it categorize the image of a cat on a t-shirt? When the stakes are low, like in image recognition, these errors may not matter as much. But for some technology being correct most of the time isn’t sufficient. We would simply not accept a pace-maker that operates correctly most of the time, or a plane that doesn’t crash into the mountains with just 95% certainty. Technologies that require a higher precision for safety also require a different approach to developing that software, and many applications of AI will require high safety standards – such as with self-driving cars or nursing robots. This means society is in need of a language to communicate with the AI in a way that it can understand ethics precisely, and with 100% accuracy. 
The Trolley Problem is a famous ethical dilemma that asks: if you are driving a trolley and see that it is going to hit and kill five pedestrians, but you could pull a lever to reroute the trolley to instead hit and kill one pedestrian – would you do it? While it seems obvious that we want our self-driving cars to not hit pedestrians, what is less obvious is what the car should do when it doesn’t have a choice but to hit and kill a pedestrian or to drive off a cliff killing the driver. Although Colin isn’t tackling the impossible feat of solving these ethical dilemmas, he is developing the language we need to communicate ethics to AI with the accuracy that we can’t achieve from machine learning. So who does decide how these robots will respond to ethical quandaries? While not part of Colin’s research, he believes this is best left answered by the communities the technologies will serve.

Colin doing a logical proof on a whiteboard with a 1/10 scale autonomous vehicle in the foreground.

The ArchIve: a (brief) history of AI

AI had its first wave in the 70’s, when it was thought that logic systems (a way of communicating directly with computers) would run AI. They also created perceptrons which try to mimic a neuron in a brain to put data into binary classes, but more importantly, has a very cool name. Perceptron! It sounds like a Spider-Man villain. However, logic and perceptrons turned out to not be particularly effective. There are a seemingly infinite number of possibilities and variables in the world, making it challenging to create a comprehensive code. Further, when AI has an incomprehensive code, it has the potential to enter a world it doesn’t know could even exist – and then it EXPLODES! Kind of. It enters a state known as the Principle of Explosion, where everything becomes true and chaos ensues. These challenges with using logic to develop AI led to the first “AI winter”. A highly relatable moment in history given the number of times I stop working and take a nap because a problem is too challenging. 

The second wave of AI blew up in the 80’s/90’s with the development of machine learning methods and in the mid-2000’s it really took off due to software that can handle matrix conversions rapidly. (And if that doesn’t mean anything to you, that’s okay. Just know that it basically means speedy complicated math could be achieved via computers). Additionally, high computational power means revisiting the first methods of the 70’s, and could string perceptrons together to form a neural network – moving from binary categorization to complex recognition.

A bIography: Colin’s road to coding computer ethics

During his undergrad at Virginia Tech studying computer science, Colin ran into an ArachnId that left him bitten by a philosophy bug. This led to one of many philosophical dilemmas he’d enjoy grappling with: whether to focus his studies on computer science or philosophy? And after reading I, Robot answered that question with a “yes”, finding a kindred spirit in the robopsychologist in the novel. This led to a future of combining computer science with philosophy and ethics: from his Master’s program where he weaved computer science into his philosophy lab’s research to his current project developing a language to communicate ethics to machines with his advisor Hassam Abbas. However, throughout his journey, Colin has become less of a robopsychologist and more of a roboethicist.

Want more information on coding computer ethics? Us too. Be sure to listen live on Sunday, April 17th at 7PM on 88.7FM, or download the podcast if you missed it. Want to stay up to date with the world of roboethics? Find more from Colin at https://web.engr.oregonstate.edu/~sheablyc/.

Colin Shea-Blymyer: PhD student of computer science and artificial intelligence at Oregon State University

This post was written by Bryan Lynn.

Microbial and biochemical community dynamics in low-oxygen Oregon waters

Much like Oregon’s forests experience wildfire seasons, the waters off the Oregon coast experience what are called “hypoxia seasons”. During these periods, which occur in the summer, northern winds bring nutrient-rich water to the Eastern Current Boundary off the Oregon Coast. While that might sound like a good thing, the upwells bring a bloom of microscopic organisms such as phytoplankton that consume these nutrients and then die off. As they die off, they sink and are then decomposed by marine microorganisms. This process of decomposition removes oxygen from the water, creating what’s called an oxygen minimum zone, or OMZs. These OMZs can span thousands of square miles. While mobile organisms such as fish can escape these areas and relocate, place-bound creatures such as crabs and bottom-dwelling fish can perish in these low oxygen zones. While these hypoxia seasons can occur due to natural phenomena, stratification of the water column due to other factors such as climate change can increase the frequency or severity of these seasons.

2021 was one of the worst years on record for hypoxic waters off the Western coast of the United States. A major contributing factor was the extremely early start to the upwelling triggered by strong winds. Measurements of dissolved oxygen and ocean acidity were high enough to be consistent with conditions that can lead to dead zones, and this is exactly what happened. Massive die-offs of crabs are concerning as the harvesting of Dungeness crab is one of the most lucrative fishing industries in the state. Other species and organisms move into shallower waters, disturbing the delicate balance of the coastal ecosystems. From the smallest microbe to the largest whale, almost every part of the coast can be affected by hypoxia season. 

Our guest this week is Sarah Wolf, a fourth year PhD candidate in the Department of Microbiology here at Oregon State. Sarah, who is co-advised by Dr. Steve Giovannoni and Dr. Francis Chan, studies how microbes operate in these OMZs. Her work centers around microbial physiology and enzyme kinetics, and how these things change over time and in varying oxygen concentrations. To do this, she spent her second year developing a mesocosm, which is a closed environment that allows for the study of a natural environment, which replicates conditions found in low oxygen environments. 

Sarah Wolf, a fourth year PhD Candidate in the department of Microbiology, in her lab

Her experiments involve hauling hundreds of liters of ocean water from the Oregon coast back to her lab in Nash Hall, where she filters and portions it into different jugs hooked up to a controlled gas delivery system which allows her to precisely control the concentration of oxygen in the mesocosm. Over a period of four months Sarah samples the water in these jugs to look at the microbial composition, carbon levels, oxygen respiration rates, cell counts, and other measures of the biological and chemical dynamics occurring in low oxygen. Organic matter can get transformed by different microorganisms that “eat” different pieces through the use of enzymes, but many enzymes which can break down large, complex molecules require oxygen, and in low oxygen conditions, this can be a problem for the breakdown and accumulation of organic matter. This is the kind of phenomenon that Sarah is studying in these mesocosms, which her lab affectionately refers to as the “Data Machine”. 

Sarah’s journey into science has been a little nontraditional. A first generation college student, she started out her education as a political science major at Montana State before moving to the University of the Virgin Islands for a semester abroad. At the time she wasn’t really sure how to get into research or science as a career. During this semester her interest in microbiology was sparked during an environmental science course which led to her first research experience, studying water quality in St. Thomas. This experience resulted in an award-winning poster at a conference, and prompted Sarah to change her major to Microbiology and transfer to California State University Los Angeles. Her second research experience was very different – an internship at NASA’s Jet Propulsion Laboratory studying cleanroom microbiology, which resulted in a publication identifying two novel species of Bacillus isolated from the Kennedy Space Center. Ultimately Sarah’s journey brought her here to Oregon State, which she was drawn to because of its strong marine microbiology research program.

Sarah works on the “Data Machine”

But Sarah’s passion for science doesn’t stop at the lab: during the Covid-19 pandemic, she began creating and teaching lessons for children stuck at home. During this time she taught over 60 kids remotely, with lessons about microbes ranging from marine microbiology to astrobiology and even how to create your own sourdough starter at home. Eventually she compiled these lessons onto her website where parents and teachers alike can download them for use in classrooms and at home. She also began reviewing children’s science books on her Instagram page (@scientist.sarahwolf), and inviting experts in different fields to participate in livestreams about books relating to their topics. A practicing Catholic, she also shares thoughts and resources about religion and science, especially topics surrounding climate science. With around 12k followers, Sarah’s outreach on Instagram has certainly found its audience, and will only continue to grow. 

If you’re curious about microbes in low oxygen conditions, what it’s like to be a science educator and social media influencer, or want to hear more about Sarah’s journey in her own words, tune in at 7 PM on March 13th to catch the live episode at 7 PM PST on 88.7 FM Corvallis, online at https://kbvrfm.orangemedianetwork.com – or you can catch this episode after the show airs wherever you get your podcasts! 

Trusting Your Gut: Lessons in molecular neuroscience and mental health

The bacteria in your gut can talk to your brain.

No, really.

It might sound like science fiction, but you’ve probably heard the phrase ‘gut-brain axis’ used in recent years to describe this phenomenon. What we call the “gut” actually refers to the small and large intestines, where a collection of microorganisms known as the gut microbiome reside. In addition to the microbes that inhabit it, your gut contains around 500 million neurons, which connect to your brain through bidirectional nerves – the biggest of which is the vagus nerve. Bacteria might be able to interact with specialized sensory cells within the gut lining and trigger neuronal firing from the gut to the brain.

Our guest this week is Caroline Hernández, a PhD student in the Maude David Lab in the Department of Microbiology, and she is studying exactly this phenomenon. While the idea that the gut and the brain are connected is not exactly new (ever heard the phrase “a gut feeling” or felt “butterflies” in your gut when you’re nervous?), there still isn’t much known about how exactly this works on a molecular level. This is what Caroline’s work aims to untangle, using an in vitro  (which means outside of a living organism – in this case, cells in a petri dish) approach: if you could grow both the sensory gut cells and neurons in the same petri dish, and then expose them to gut bacteria, what could you observe about their interactions? 

Caroline Hernández in her lab at Oregon State, using a stereo microscope to identify anatomical structures in a mouse before dissecting out a nerve bundle

The answer to this question could tell us a lot about how the gut-brain axis works on a molecular level, and could help researchers understand the mechanisms by which the gut microbiome can possibly modulate behavior, mood, learning, and cognition. This could have important implications down the line for how we conceptualize and potentially treat mood and behavioral disorders. Some mouse studies have already shown that mice treated with the probiotic Lactobacillus rhamnosus display reduced anxiety-like and depressive behaviors, for example – but exactly how this works isn’t really clear.

The challenges of in vitro research

Before these mechanisms can really be untangled, there are several challenges that Caroline is working on solving. The biggest one is just getting the cells to grow at all: Caroline and her team must first carefully extract specific gut sensory tissue and a specific ganglion (which is a blob of neurons) from mice, a delicate process that requires the use of specialized tools and equipment. Once they’ve verified that they have the correct anatomy, the tissues are moved into media, a liquid that contains specialized nutrients to help provide the cells with the growth factors they need to stay alive. Because this is very cutting-edge research, Caroline’s team is among the first in the world to attempt this technique – meaning there is a lot of trial and error and not a great amount of resources out there to help. There have been a number of hurdles along the way, but Caroline is no stranger to meeting challenges head-on and overcoming them with incredible resilience.

From art interactions to microbial interactions

Her journey into science started in a somewhat unexpected way: Caroline began her undergraduate career as a studio art major in community college. Her art was focused on interactivity and she was especially interested in how the person perceiving the art could interact with and explore it. Eventually she decided that while she was quite skilled at it, art was not the career path she wanted to pursue, so she switched into science, where she began her Bachelors of Science in molecular and cellular biology at the University of Illinois in Urbana Champaign. 

During her undergraduate degree, a mental health crisis prompted Caroline to file for a medical withdrawal from her program. The break was much needed and allowed her to focus on taking care of herself and her health before returning to the rigorous and intense program three years later. Caroline is now a strong supporter of mental health resource awareness – in this episode of Inspiration Dissemination she will describe some of the challenges and barriers she faced when returning to finish her degree, and some of the pushback she faced when deciding to pursue a PhD. 

“Not everyone was supportive,” she says. “I didn’t receive great encouragement from some of my advisors.”

Where she did find support and community was in her undergraduate research lab. Her work in this lab on the effects of diet and the microbiome on human health gave her the confidence to pursue graduate school, demonstrating that she was more than capable of engaging in independent research. In particular Caroline recalls her mentor Leila Shinn, a PhD student at the time in that lab, who had a profound impact on her decision to apply to graduate programs.

Tune in on Feb 27th to hear the rest of Caroline’s story and what brought her to Oregon State in particular. You can listen live at 7 PM PST on 88.7 FM Corvallis, online at https://kbvrfm.orangemedianetwork.com, or you can catch the episode after the show airs wherever you get your podcasts. 

If you are an undergraduate student or graduate student at Oregon State University and are experiencing mental health struggles, you’re not alone and there are resources to help. CAPS offers crisis counseling services as well as individual therapy and support and skill-building groups. 

Home Economics as a Science 

Milam, ca. 1919. Courtesy of Oregon Digital.

At OSU there is a building called Milam Hall. It sits across the quad from the Memorial Union and houses many departments, including the School of History, Philosophy, and Religion, where our guest this week, History and Philosophy of Science M.A. student Kathleen McHugh is housed. The building is certainly showing its age, with a perpetually leaky roof and well worn stairwells. But despite this, embedded in some of its classrooms, are hints of its former glory. It was once the location of the School of Home Economics, and was posthumously named after its longstanding dean, Ava B. Milam. While no books have been written about Milam, aside from her own autobiography, her story is one worth telling, and McHugh is doing just that with her M.A. thesis where she explores Milam’s deliberate actions to make home economics a legitimate scientific field. 

Home Economics students cooking. Courtesy of Industrial-Arts Magazine.

During Milam’s tenure, home economics was a place where women could get an education and, most importantly, where they would not interfere with men’s scientific pursuits. It necessarily othered women and excluded them from science. But McHugh argues that Milam actively tried to shape home economics so that it was perceived as a legitimate science rather than a field of educational placation. And, as McHugh demonstrates through her research, in part due to Milam’s work, women are able to study science today without prejudice (well, for the most part. Obviously there is still a long way to go before there is full equality). 

But exactly how Milam legitimized a field that–let’s be honest, probably immediately gives readers flashbacks of baking a cake in middle school or learning how to darn a sock –is exactly what McHugh explores in her thesis. Through meticulous archival research, and despite COVID hurdles, McHugh has created a compelling and persuasive narrative of Milam’s efforts to transform home economics into a science. 

Guests waiting outside a tearoom at the 1919 San Francisco World’s Fair run by Home Economics students. Courtesy of Industrial-Arts Magazine.

Listen this week and learn how a cafe at the 1915 San Francisco World’s Fair and a house near campus that ran a nearly 50 year adoption service relate to Milam and her pioneering work. If you missed the live show, listen to this episode wherever you get your podcasts.

Mighty (a)morphin’ power metals

This week we have a PhD candidate from the materials science program, Jaskaran Saini, joining us to discuss his work on the development of novel metallic glasses. But first, what exactly is a metallic glass, you may ask? Metallic glasses are metals or alloys with an amorphous structure. They lack crystal lattices and crystal defects commonly found in standard crystalline metals. To form a metallic glass requires extremely high cooling rates. Well, how high? – a thousand to a million Kelvin per second! That high.

The idea here is that the speed of cooling impacts the atomic structure – and this idea is not new or limited to just metals! For example, the rocks granite, basalt, pumice, and obsidian all have a similar composition, but different cooling times. This even gives Obsidian an amorphous structure, which means we could probably just start referring to it as rocky glass. But the uses of metallic glass extend far beyond those of rocks.

(Left) Melting the raw materials inside the arc-melter to make the alloy. The bright light visible in the image is the plasma arc that goes up to 3500C. The ring that the arc is focusing on is the molten alloy.
(Right) Metallic glass sample as it comes out of the arc-melter; the arc melter can be seen in the background.
Close-ups of metallic glass buttons.

Why should we care about metallic glass? 

Metallic glasses are fundamentally cool, but in case that isn’t enough to peak your attention, they also have super powers that’d make Magneto drool. They have 2-3x the strength of steel, are incredibly elastic, have very high corrosion and wear resistance and have a mirror-like surface finish. So how can we apply these super metals to science? Well, NASA is already on it and is beginning to use metallic glasses as gear material for motors. While the Curiosity rover expends 30% of its energy and 3 hours heating and lubricating its steel gears to operate, Curiosity Jr. won’t have to worry about that with metallic glass gears. NASA isn’t the only one hopping onto the metallic glass train. Apple is trying to use these scratch proof materials in iPhones, the US Army is using high density hafnium-based metallic glasses for armor penetrating military applications, and some professional tennis and golf players have even used these materials in their rackets and golf clubs. But it took a long time to get these metallic glasses to the point where they’re now being used in rovers and tennis rackets.

Metallic glass: a history

Metallic glasses first appeared in the 1960’s when Jaskaran’s academic great grandfather (that is, his advisor’s advisor’s advisor), Pol Duwez, made them at Caltech. In order to achieve this special amorphous structure, a droplet of a gold-silicon alloy was cooled at a rate of over a million Kelvin per second with the end result being an approximately quarter sized foil of metallic glass, thinner than the thickness of a strand of hair. Fast forward to the ‘80’s, and researchers began producing larger metallic glasses. By the late ‘90’s and early 2000’s, the thickness of the biggest metallic glass produced had already exceeded 1000x the original foil thickness. However, with great size comes greater difficulty! If the metallic glass is too thick, it can’t cool fast enough to achieve an amorphous structure! Creating larger pieces of metallic glass has proven itself to be extremely challenging – and therefore is a great goal to pursue for graduate students and PI’s interested in taking on this challenge.

Currently, the largest pieces of metallic glasses are around 80 mm thick, however, they use and are based on precious metals such as palladium, silver, gold, platinum and beryllium. This makes them not very practical for multiple reasons. First, is the more obvious cost standpoint. Second, given the detrimental impact of mining rare-earth metals, efforts to minimize dependence on rare-earth metals can have a great positive impact on the environment. 

World records you probably didn’t know existed until now

As part of Prof. Donghua Xu’s lab, Jaskaran is working on developing large-sized metallic glasses from cheaper metals, such as copper, nickel, aluminum, zirconium and hafnium. It’s worth noting that although Jaskaran’s metallic glasses typically consist of at least three metal elements, his research is mainly focused on producing metallic glasses that are based on copper and hafnium (these two metals are in majority). Not only has Jaskaran been wildly successful in creating glassy alloys from these elements, but he has also set TWO WORLD RECORDS. The previous world record for a copper-based metallic glass was 25 mm, which he usurped with the creation of a 28.5 mm metallic glass. As for hafnium, the previous world record was 10 mm which Jaskaran almost doubled with a casting diameter of 18 mm. And mind you, these alloys do not contain any rare-earth or precious metals so they are cost-effective, have incredible properties and are completely benign to the environment!

The biggest copper-based metallic glass ever produced (world record sample).

Excited for more metallic glass content? Us too. Be sure to listen live on Sunday February 6th at 7PM on 88.7FM, or download the podcast if you missed it. Want to stay up to date with the world of metallic glass? Follow Jaskaran on Twitter, Instagram or Google Scholar. We also learned that he produces his own music, and listened to Sephora. You can find him on SoundCloud under his artist name, JSKRN.

Jaskaran Saini: PhD candidate from the materials science program at Oregon State University.

This post was written by Bryan Lynn and edited by Adrian Gallo and Jaskaran Saini.

Nuclear: the history, present, and future of the solution to the energy crisis

In August of 2015, the Animas River in Colorado turned yellow almost overnight. Approximately three million gallons of toxic waste water were released into the watershed following the breaching of a tailings dam at the Gold King Mine. The acidic drainage led to heavy metal contamination in the river reaching hundreds of times the safe limits allowed for domestic water, having devastating effects on aquatic life as well as the ecosystems and communities surrounding the Silverton and Durango area. 

This environmental disaster was counted by our guest this week, Nuclear Science and Engineering PhD student Dusty Mangus, as a close-to-home critical moment in inspiring what would become his pursuit of an education and career in engineering. “I became interested in the ways that engineering could be used to develop solutions to remediate such disasters,” he recalls.

Following his BS of Engineering from Fort Lewis College in Durango, Colorado, Dusty moved to the Pacific Northwest to pursue his PhD in Nuclear Engineering here at Oregon State, where he works with Dr. Samuel Briggs. His research here focuses on an application of engineering to solve one of the biggest problems of our age: energy – and more specifically, the use of nuclear energy. Dusty’s primary focus is on using liquid sodium as an alternative coolant for nuclear reactors, and the longevity of various materials used to construct vessels for such reactors. But before we can get into what that means, we should define a few things: what is nuclear energy? Why is nuclear energy a promising alternative to fossil fuels? And why does it have such an undeserved bad rap?

Going Nuclear

Nuclear energy comes from breaking apart the nuclei of atoms. The nucleus is the core of the atom and holds an enormous amount of energy. Breaking apart atoms, also called fission, can be used to generate electricity. Nuclear reactors are machines that have been designed to control the process of nuclear fission and use the heat generated by this reaction to power generators, which create electricity. Nuclear reactors typically use the element uranium as the fuel source to produce fission, though other elements such as thorium could also be used. The heat created by fission then warms the coolant surrounding the reaction, typically water, which then produces steam. The United States alone has more than 100 nuclear reactors which produce around 20% of the nation’s electricity; however, the majority of the electricity produced in the US is from fossil fuels. This extremely potent energy source almost fully powers some nations including France and Lithuania. 

One of the benefits of nuclear energy is that unlike fossil fuels, nuclear reactors do not produce carbon emissions that contribute to the accumulation of greenhouse gases in the atmosphere. In addition, unlike other alternative energy sources, nuclear plants can support the grid 24/7: extreme weather or lack of sunshine does not shut them down. They also take up less of a footprint than, say, wind farms.  

However, despite their benefits and usefulness, nuclear energy has a bit of a sordid history which has led to a persistent, albeit fading in recent years, negative reputation. While atomic radiation and nuclear fission were researched and developed starting in the late 1800s, many of the advancements in the technology were made between 1939-1945, where development was focused on the atomic bomb. First generation nuclear reactors were developed in the 1950s and 60s, and several of these reactors ran for close to 50 years before decommission. It was in 1986 the infamous Chernobyl nuclear disaster occurred: a flawed reactor design led to a steam explosion and fires which released radioactive material into the environment, killing several workers in the days and weeks following the accident as a result of acute radiation exposure. This incident would have a decades-long impact on the perception of the safety of nuclear reactors, despite the significant effect of the accident on reactor safety design. 

Nuclear Reactor Safety

Despite the perception formed by the events of Chernobyl and other nuclear reactor meltdowns such as the 2011 disaster in Fukushima, Japan, nuclear energy is actually one of the safest energy sources available to mankind, according to a 2012 Forbes article which ranked the mortality rate per kilowatt hour of energy from different sources. Perhaps unsurprisingly, coal tops the list, with a global average of 100,000 deaths per trillion kilowatt hour. Nuclear energy is at the bottom of the list with only about 0.1 deaths per trillion kilowatt hour, making it even safer by this metric than natural gas (4,000 deaths), hydro (1400 deaths), and wind (150 deaths). Modern nuclear reactors are built with passive redundant safety systems that help to avoid the disasters of their predecessors.

Dusty’s research helps to address one of the issues surrounding nuclear reactor safety: coolant material. Typical reactors use water as a coolant: water absorbs the heat from the reaction and it then turns to steam. Once water turns to steam at 100 degrees Celsius, the heat transfer is much less efficient – the workaround to this is putting the water under high pressure, which raises the boiling point. However, this comes with an increased safety risk and a manufacturing challenge: water under high pressure requires large, thick metal vessels to contain it.

Sodium, infamous for its role in the inorganic compound known as salt, is actually a metal. In its liquid phase, it is much like mercury: metallic and viscous. Liquid sodium can be used as a low-pressure, safer coolant that transfers heat efficiently and can keep a reactor core cool without requiring external power. The boiling point of liquid sodium is around 900 degrees Celsius, whereas a nuclear reactor operates in the range of around 300-500 degrees Celsius – meaning that reactors can operate within a much safer range of temperatures at atmospheric pressure as compared to reactors that use conventional water cooling systems.

Dusty’s research is helping to push the field of nuclear reactor efficiency and safety into the future. Nuclear energy promises a safer, greener solution to the energy crisis, providing a potent alternative to current fuel sources that generate greenhouse gas emissions. Nuclear energy utilized efficiently could even the capability to power the sequestration of carbon dioxide from the atmosphere, leading to a cleaner, greener future. 

Did we hook you on nuclear energy yet? Tune in to the show or catch the podcast to learn more about the history, present and future of this potent and promising energy source!  Be sure to listen live on Sunday January 30th at 7PM on 88.7FM or download the podcast if you missed it.

Hearing is believing: characterizing ocean soundscapes and assessing noise impacts on whales

“I always loved science class and science questions, and I went to science camps – but as a kid I didn’t really put it together that being a scientist was a career or something other than sitting at a microscope in a lab coat,” Our guest this week, Dr. Samara Haver, has come a long way from not realizing the myriad of careers in science when she was a child. She now works as a marine acoustician, researching underwater soundscapes and ocean noise to understand the repercussions for marine ecosystems and animals, such as humpback and blue whales. 

Noise Reference Station deployment in Channel Islands National Marine Sanctuary (Near Santa Barbara/LA, CA). Source: S. Haver.

Samara is a recent graduate from Oregon State University (OSU) having completed both her Masters and PhD in the Department of Fisheries, Wildlife, and Conservation Sciences (FWCS). She is continuing at OSU as a postdoctoral scholar in FWCS, where she is advised by Dr. Scott Heppell and works within the OSU/National Oceanic and Atmospheric Administration (NOAA) Cooperative Institute for Marine Ecosystem and Resources Studies. Her dissertation research focused on underwater recordings from 12 diverse and widespread marine habitats in U.S. waters. Data from each site was recorded by stationary hydrophone (underwater microphones), a calibrated array collectively named the NOAA/National Park Service Ocean Noise Reference Station Network (NRS). The NRS is an ongoing multi-agency collaborative effort to record underwater sound throughout the U.S. to understand about the differences and similarities of soundscapes in U.S. waters, and provide information to managers about protected species. The 12 locations are deployed along west and east coasts of the U.S., as well as in the northern and southern hemispheres, and includes locations within U.S. National Marine Sanctuaries and U.S. National Parks. One of the primary objectives of this highly collaborative and nation-wide comparison was to quantify comparable baselines of ocean noise in U.S. waters. When the NRS was first established, there weren’t any other U.S. research groups collecting passive acoustic data in these widespread locations using identical time-aligned recorders. Thus, the NRS provided new and comparable information to NOAA and the NPS about the levels and sources that contributed to underwater sound.  

Prepping a Noise Reference Station, with concrete anchor, acoustic release, hydrophone, and float for deployment near Olympic Coast National Marine Sanctuary, near Washington state. Source: S. Haver.

Hence, Samara’s PhD research revolved around analyzing the recordings from the 12 NRSs to explore several questions regarding differences in U.S. soundscapes, including baleen whale presence which she was able to identify by their unique vocalizations. Many marine animals, including baleen whales, evolved to rely on sound as their primary sensory modality to survive in the dark environment of the ocean. Unlike humans, who rely heavily on sight, whales must find food, communicate, navigate, and avoid predators using sound. However, the ocean has become a noisy place, primarily because of increased anthropogenic (human-caused) activity, such as shipping, marine construction, and seismic surveys, to name a few. To best understand how noise is affecting the life history of baleen whales and their habitats, we need to understand how loud the ocean is, how much noisier it’s getting, and what is generating the noise.

Looking through the “big eye” binocular to search for marine mammals in the North Atlantic. Source: S. Haver.

Samara has become an expert in characterizing and understanding ocean soundscapes, uncovering a lot about the differences and similarities in U.S. soundscapes. To hear about what exactly she learned during her PhD and what management implications her results have on protected species and habitats, tune in on Sunday, November 7th at 7 PM on KBVR 88.7 FM, live stream the show, or download Samara’s episode on Apple Podcasts!

Don’t want to wait until then? You can check out Samara’s publications on her GoogleScholar or follow her on Twitter!