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Taylor Sparks
United States
Registrace 23. 04. 2008
I'm an Associate Professor of Materials Science & Engineering at the University of Utah. I'm passionate about engineering education. I love making tutorials and example problems. Just comment an any video with a request for a new problem or explanation and I'll make it happen.
Episode 87: Stories of a Materials Salesman
Designing a great material is only half the battle, now you need to sell it. In this episode we sat down with Dan Wilson from Sintx and took a dive into the surprisingly nuanced world of materials sales and the challenges and pitfalls of marketing materials solutions.
Learn more about Sintx and the great materials they are developing by visiting their website at: www.sintx.com/
The Materialism Podcast is sponsored by Cal Nano (www.calnanocorp.com/) , leading experts in spark plasma sintering and cryomilling technologies. You can learn more about their work and services by visiting their website (www.calnanocorp.com/) .
This Materialism Podcast is also sponsored by Materials Today (www.materialstoday.com/) , an Elsevier community dedicated to the creation and sharing of materials science knowledge and experience through their peer-reviewed journals, academic conferences, educational webinars, and more.
Thanks to Kolobyte and Alphabot for letting us use their music in the show!
If you have questions or feedback please send us emails at materialism.podcast@gmail.com or connect with us on social media: Instagram ( materialism.podcast?hl=en) , Twitter ( MaterialismPod) .
Materialism Team: Taylor Sparks (co-host, co-creator), Andrew Falkowski (co-host, co-creator), Jared Duffy (production, marketing, and editing).
Keywords: Sales, marketing, salesmanship
Learn more about Sintx and the great materials they are developing by visiting their website at: www.sintx.com/
The Materialism Podcast is sponsored by Cal Nano (www.calnanocorp.com/) , leading experts in spark plasma sintering and cryomilling technologies. You can learn more about their work and services by visiting their website (www.calnanocorp.com/) .
This Materialism Podcast is also sponsored by Materials Today (www.materialstoday.com/) , an Elsevier community dedicated to the creation and sharing of materials science knowledge and experience through their peer-reviewed journals, academic conferences, educational webinars, and more.
Thanks to Kolobyte and Alphabot for letting us use their music in the show!
If you have questions or feedback please send us emails at materialism.podcast@gmail.com or connect with us on social media: Instagram ( materialism.podcast?hl=en) , Twitter ( MaterialismPod) .
Materialism Team: Taylor Sparks (co-host, co-creator), Andrew Falkowski (co-host, co-creator), Jared Duffy (production, marketing, and editing).
Keywords: Sales, marketing, salesmanship
zhlédnutí: 179
Video
Lecture in Materials 9: Anil Virkar "Thermodynamic and kinetic considerations of fuel cell catalyst"
zhlédnutí 146Před dnem
State-of-the-art PEMFC use platinum-based catalysts as cathodes. The high cost of Pt and tendency for catalyst degradation at the cathode is the principal reason for devising ways of minimizing the amount of Pt used and ways to enhance catalyst activity and durability. Approaches used to decrease the Pt loading include alloy formation and forming core-shell catalyst with non-noble metal as the ...
Lecture in Materials 8: Angie Richardson & Lindsay Fuoco "Piezoelectric ceramic processing"
zhlédnutí 191Před 14 dny
Piezoelectric ceramic industry is a 1.4 billion dollar market with applications as varied as sonar and navigation systems for the US Navy to medical ultrasonics to watch alarms. The ceramic formulation and processing not only requires structural integrity, but also a high efficiency electrical characteristic that can convert electrical signal to mechanical energy, or mechanical to electrical si...
Lecture in Materials 7: Dan Belnap "HPHT diamond sintering and nanodiamond manufacturing"
zhlédnutí 169Před 14 dny
Utah is responsible for the genesis of an important group of materials known as polycrystalline diamond (PCD) manufactured at high pressures and high temperatures (HPHT). University of Utah graduate H. Tracy Hall (Ph.D. 1948 under Henry Eyring) pioneered the synthesis of PCD using conditions of 6.5 GPa and 2200°C at a small company now known as MegaDiamond (Hall H T, Sintered Diamond, a Synthet...
Use GitHub Copilot Chat to interactively create documentation, add type hints, and make unit tests
zhlédnutí 187Před 14 dny
I start out with some Python code from stack overflow that is largely undocumented. I use the Autodocstring VS Code extension (marketplace.visualstudio.com/items?itemName=njpwerner.autodocstring) to create template docstrings and then ask GitHub Copilot Chat (docs.github.com/en/copilot/github-copilot-chat/about-github-copilot-chat) to fill in these templates with the correct information. After ...
Interactive sample transfer workflow with slack notifications
zhlédnutí 186Před 21 dnem
Developing a "self-driving" (i.e., fully autonomous) scientific laboratory is an ambitious task. Certain tasks are much harder to automate, such as moving a sample from one piece of equipment to another. It may make sense to leave certain steps to a person while working towards a fully self-driving lab; however, a smooth pass off between software and the human can be difficult to implement. Her...
Human-in-the-loop Bayesian Optimization
zhlédnutí 306Před 21 dnem
In chemistry and materials science, Bayesian optimization is often used to guide experimental workflows. However, often there is a person running the algorithm, carrying out the suggested experiment, and then passing the data back to the algorithm. This can introduce some complexity from an implementation point of view, so here's a really simple way to use a Bayesian optimization platform (ax.d...
Episode 86: PHAs and Biodegradable Plastic
zhlédnutí 353Před 21 dnem
The challenge of plastic pollution in our environment will be a defining issue in the coming decades. To address this problem, scientists have developed a host of next generation biodegradable plastics that have the potential to improve the sustainability of single use products. Among these are a class of materials called PHAs which are of particular interest as their microorganism origins are ...
Materialism Podcast Ep 85: Electron Backscatter Diffraction
zhlédnutí 428Před měsícem
There’s more to a material’s microstructure than meets the eye! In this episode of the Materialism Podcast we dive into the world of Electron Backscatter Diffraction (EBSD) characterization, and discuss some of the important properties you can measure with it including grain size, phase distribution, texture, and more! To help us navigate this topic, we sat down with Stuart Wright and Matt Nowe...
Max Balandat (Meta Adaptive Experimentation) "Bayesian Optimization for Sustainable Concrete"
zhlédnutí 380Před měsícem
Max Balandat, from Meta's adaptive experimentation team, shared insightful developments in the field of sustainable concrete using Bayesian optimization at a recent hackathon. Highlighting the environmental urgency, Balandat pointed out the concrete industry's substantial carbon footprint, responsible for a significant percentage of global CO2 emissions. With an aim to mitigate this, his team a...
Martin Fitzner "Industrial view on Bayesian optimization A perfect match for the low/no-data regime"
zhlédnutí 182Před měsícem
In an insightful presentation, Martin Fitzner from Merck takes the audience through an industrial perspective on Bayesian optimization, a technique central to the hackathon theme. Starting with an intriguing disclaimer about the dual identity of Merck, depending on geographical location, Fitzner unfolds the varied scientific domains within Merck, emphasizing the challenges posed by operating in...
Discovering materials twice as fast at a fraction of the cost through Bayesian optimization
zhlédnutí 676Před měsícem
Hey everyone! In my keynote for this hackathon, I dived into how we can find new materials twice as fast and at a much lower cost using Bayesian optimization. This idea isn't new-it's actually inspired by the Materials Genome Initiative. My talk revolved around how computational and data-driven approaches in material science can drastically speed up our discovery process. I shared an example fr...
Lecture in Materials 6: Ian Harvey "Rocket nozzle materials"
zhlédnutí 231Před měsícem
Ivan Cutler invented a process for making SiC from rice hulls, which contain an intimate mixture of carbon and silica. Wayne Brown commercialized this by making SiC whiskers, which are still used in high-speed cutting tools for Ni-based superalloys. This lecture will discuss other high-temperature materials including those used in rocket nozzles. Processing, testing and characterization of comp...
Lecture in Materials 5. S. Elango Elangovan "Mission to Mars: One small step before a giant leap"
zhlédnutí 159Před měsícem
More than 50 years after Neil Armstrong walked on the moon after traveling 240,000 miles in 76 hours, Perseverance Rover landed on Mars on February, 18 2021. It took seven months and traveled more than 292 million miles. A group of OxEon engineers anxiously watched the broadcast hoping to be a part of history. The historical moment came two months later, on April 20th, when a solid oxide electr...
Lecture in Materials 4: Willard A Cutler "Materials Science-Based Innovations to Pollution Control"
zhlédnutí 202Před měsícem
Lecture in Materials 4: Willard A Cutler "Materials Science-Based Innovations to Pollution Control"
26a. Application of GANs in Materials Science
zhlédnutí 591Před měsícem
26a. Application of GANs in Materials Science
Materialism Podcast Ep 84: The ICME Method with QuesTek
zhlédnutí 312Před měsícem
Materialism Podcast Ep 84: The ICME Method with QuesTek
Materialism Podcast Ep 83: Computed Tomography at Zeiss
zhlédnutí 277Před 2 měsíci
Materialism Podcast Ep 83: Computed Tomography at Zeiss
Lectures in Materials 3: Jeff Gunn "Introduction to Patents"
zhlédnutí 197Před 2 měsíci
Lectures in Materials 3: Jeff Gunn "Introduction to Patents"
Lecture in Materials 2: Bryan McEntire "Silicon nitride - from lab to life"
zhlédnutí 284Před 2 měsíci
Lecture in Materials 2: Bryan McEntire "Silicon nitride - from lab to life"
Materialism Podcast Ep 82: Radar Absorbing Materials
zhlédnutí 534Před 2 měsíci
Materialism Podcast Ep 82: Radar Absorbing Materials
Lecture in Materials 1: Jerry Stringfellow "Growth and properties of materials for LEDs"
zhlédnutí 719Před 2 měsíci
Lecture in Materials 1: Jerry Stringfellow "Growth and properties of materials for LEDs"
Materialism Podcast Ep 81: New Materials for Carbon Capture
zhlédnutí 549Před 3 měsíci
Materialism Podcast Ep 81: New Materials for Carbon Capture
Materialism Podcast Ep 80: Ceramic Innovation with Delta Faucet
zhlédnutí 311Před 3 měsíci
Materialism Podcast Ep 80: Ceramic Innovation with Delta Faucet
How to clone a github repo to follow along with in class coding examples
zhlédnutí 331Před 3 měsíci
How to clone a github repo to follow along with in class coding examples
installing miniconda, virtual environments, and vscode for materials informatics
zhlédnutí 575Před 3 měsíci
installing miniconda, virtual environments, and vscode for materials informatics
Materialism Podcast Ep 79: Cryogenic Milling at Cal Nano
zhlédnutí 458Před 5 měsíci
Materialism Podcast Ep 79: Cryogenic Milling at Cal Nano
Materialism Podcast Ep 78: Flash Sintering at Lucideon
zhlédnutí 454Před 5 měsíci
Materialism Podcast Ep 78: Flash Sintering at Lucideon
Materialism Podcast Ep 77: Circular Construction Economy
zhlédnutí 226Před 5 měsíci
Materialism Podcast Ep 77: Circular Construction Economy
How to calculate (δ) in CaFeO2.5+δ
Sir, may i request your slide please if it is possible . Thanks
Sure, shoot me an email.
Thermal shrinkage is very small - are other processing parameters also compatible with robust 3d printing ?
where did you get the value of da?
Thank you, your level of understanding and ability to articulate it is a rare combo
Thank you!! It's my passion
Why is Molecular Weight unit written as g/mol .. isn't that the unit of Molar mass?
Same units. The only difference between a molecule and the polymer is how many mers are present. So it makes sense that they have the same units.
Thx bro very helpful
Share with your buddies 😁
You are a gem to engineering student. I'm a bioengineering/chem major and this is so useful. Thanks
I love hearing this type of feedback!!
How is that equation with t^2 in it linear?
didn't quite understood at 2:11 , you saying the second equation to be linear ? HOW if we have t^2
Thank you _/\_
4:00 Where can I find the video about the CGCNN? Thanks!
Thank you so much!! Awesome videos :)
barbaric. lamo de d.
First! this show is always informative and entertaining, thanks for making it y'all
Heck yeah homie
Thanks a lot!
In "Import phase", refining multiple patterns, You said we had to make sure all experimental conditions are same. "All experimental conditions" are the conditions we measure to collect XRD histograms, aren't they?
Yes
Another question is "peaks in background" showcased the phase you didn't import into your refinement, i.e. the impurities, isn't it?
does the act put " impurities' peaks into background' make the weight fraction of your both phases wrong?
@@paris_cellover technically yes. But common and if amount of impurities is small then impact is small. Gold standard approach is to add a known wt fraction of a standard like Si or Al2O3 and then you can calculate true amounts even if amorphous phase is present
yeah, the ROR method can calculate the true amounts of amorphous phases. But it's quite inconvenient when we had too many samples to refine @@TaylorSparks
Does the unit for avogadro's number is atom/mole?
Not necessarily. It's the number of items in a mall. You could have Avogadro's number of eggs instead of a dozen eggs or any other unit. So if you are talking about Atoms then it is Atoms per mole, if you're talking about molecules then it is molecules per mole etc
What type of graph are you using in this vedio.. can you mention its name and how you got that y fit in graph?
The equation I'm using is called the Avrami equation. It's used in modeling polymer crystallization vs time as well as other structural transformations in materials science. It has a nice S shaped curve that we can fit to other S shaped data.
theres a strong echo for this video
Yes, my apologies for that!
Two years ago you inspired me to use python in my research activities. And now you cover the topic which I've been working on for past one year. Work which I don't think I would have become qualified for if not for my skills with python, which I learned from you. Thank you once again professor. I've been working on PHAs at Centre of Excellence for Biopolymers, Institute of Chemical Technology, Mumbai, India. We are sponsored by Praj Industries, they are really big into bioethanol. You can check them out, they even got a whole facility dedicated to Biopolymers called Praj Matrix. Cool stuff.
Great explanation ❤
such short video help me to understand the lever rule so easily, thank you, respect❤
Becker and doring concept upload sir
Man, I find this 10x more difficult than any other class I've taken. I thought calculus, Thermodynamics, Dynamics, Deform, Fluids, whatever, was pretty easy because If you understand the first principle relationships, you don't have to remember anything... I either just understand so well that it's so obvious that I would never 'remember' or derive it myself, when needed, through first principles. There's just so much information here. I wouldn't even know how to prepare for an exam in this class. Like here's a million ways a defect can happen; if I pull it out of a hat be prepared to tell me about it? Do you have any tips to really imbibe all of this?
I know this is late but I swear you just saved my life I couldn't understand what I had to! You are a life savior!
I’m a dental student and we are studying about the material science to know how prosthetics and orthodontic appliances work! Your video was absolutely brilliant and easy to understand thank you 🙏 I have a question will there be a phase where there is recrystallization with no change in strength and hardness? As in my slides it’s mentioned in the hot-working metals there won’t be change in the hardness unlike the cold-working (increase in hardness and decrease in ductility).
I think if the material undergoes recrystallization you will always see a pretty dramatic change in strength and hardness as well as ductility.
This really was the best video on any topic I've ever watched. Love your channel, you help me a lot.
Heck yeah! Glad that it was helpful
thanks for every new episode
Absolutely my pleasure. We will keep them coming!
Teşekkürler
I am so grateful to have you.
Thank you so much! Please subscribe and share! I will keep creating great materials content
I dont get why do we have nucleus after r star although delta g is positive? Shouldn't Delta G be negative for the nucleus to be stable?
Good question! It is positive, but shrinking makes it more positive whereas growing makes it more negative. So if it's going to do one or the other it's going to continue to grow because that will lower its energy. In other words, just above r star, it is metastable and it has to change, the only question is whether it will change by shrinking or growing.
@TaylorSparks thank you for your guidance. It helped me alot Your videos are a great help in undrestanding complicated lessons❤
@@ghazalhassani7143 it is my pleasure. How cool that via the Internet. I don't just teach my class of 150 students, but rather 30,000 subscribers and growing!!
@@TaylorSparks fantastic
Noice. Thanks
Warm greetings Prof. Spark. Please how can I reach you. I'd need some clarification on Material Science. An email or something would do. Thanks.
sparks@eng.utah.edu
If i wanted to learn more about using excel in this way and this type of statistics, what would i take? thanks. I am graduating this month in mechanical at UVU but even in my undergrad, we hardly touched on this stuff, even at SLCC I actually learned more stats in my black belt independent study i did through an online company than i did my schools haha
Probability theory. That's what you want. If you want to keep learning, and since you are in Utah already, you might consider applying to our graduate program.
@@TaylorSparks i have thought about haha. I travel 120 miles one direction for school as i live in Brigham city. But i could check out the U and see. Thanks for replying.
@@LT72884 Salt Lake City is even closer than UVU. Actually, my most recent PhD grad from my group is living up in Brigham City because he works for Northrop Grumman. Once you are done with classes after the first two years, some programs even allow remote work. For example, my students typically do machine learning and so they can work from wherever.
@@TaylorSparks true, i grew up in draper :) but then went to usu for some school before switching majors. Slc is alot closer, even if the u is east. I really enjoy what i have learned about weibull and predictive failure from your videos. Ill start researching more on probability theory
I layed methylnethacrylate which is acrylic floors for years a stinking resin mixed with quartz stone and hardened with bpo peroxide powder which hardens the resin very quickly when mixed .
Nice!
اطرش بالزفة 🥲💔
wow very helpful demo, thank you!
Thanks for this great explanation. I'm confused about ln(ln(1/(1-F)) vs F. If I want to have a 1/1,000,000 chance of failure, I find the log(stress) value corresponding to the F = 1/1,000,000 along the data trendline. I don't use ln(ln(1/(1-F)) for that, right?
amazing
Taylor would you be interested in a paid mentorship call? I am looking to get in the space and want to talk to someone who knows their stuff. Let me know!
Sure thing. Happy to help. My email is sparks@eng.utah.edu
Very informative. Thank you professor.
😁
Great explanation for a such important topic!
where the hell did we get 3.19????
www.wolframalpha.com/input?i2d=true&i=Divide%5B%5C%2840%29.507-.466%5C%2841%29%2CDivide%5B%5C%2840%29-8.314*298%5C%2841%29%2C%5C%2840%292*96500%5C%2841%29%5D%5D
Read Ziyuan Rao paper on finding new HEA Invar alloys ... In his paper, they done it in 2022
This one. www.researchgate.net/publication/364239695_Machine_learning-enabled_high-entropy_alloy_discovery Thanks for the recommend. Exactly the approach I'm summarizing here.
Great to see work on sustainable concrete! So important and yet so underexplored! 👏👏
Hey!! Can we do this by using any programming language??
Great video! This type of thing could be what reduces the vastness of configuration space to the things we care about. Great job … keep going!
Why did you get 105mm when magnification was 155x