Taylor Sparks
Taylor Sparks
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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
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
26. Generative Adversarial Networks
zhlédnutí 231Před měsícem
26. Generative Adversarial Networks
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

Komentáře

  • @mohamedmotawea1477
    @mohamedmotawea1477 Před 12 hodinami

    How to calculate (δ) in CaFeO2.5+δ

  • @hadjerdellil858
    @hadjerdellil858 Před dnem

    Sir, may i request your slide please if it is possible . Thanks

  • @PB-kx4vv
    @PB-kx4vv Před 2 dny

    Thermal shrinkage is very small - are other processing parameters also compatible with robust 3d printing ?

  • @tomms5559
    @tomms5559 Před 3 dny

    where did you get the value of da?

  • @kylejohnson8447
    @kylejohnson8447 Před 3 dny

    Thank you, your level of understanding and ability to articulate it is a rare combo

  • @kunalbachim4689
    @kunalbachim4689 Před 4 dny

    Why is Molecular Weight unit written as g/mol .. isn't that the unit of Molar mass?

    • @TaylorSparks
      @TaylorSparks Před 4 dny

      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.

  • @hinsonhau9129
    @hinsonhau9129 Před 4 dny

    Thx bro very helpful

  • @petrmasek4506
    @petrmasek4506 Před 4 dny

    You are a gem to engineering student. I'm a bioengineering/chem major and this is so useful. Thanks

  • @Kaushh06
    @Kaushh06 Před 4 dny

    How is that equation with t^2 in it linear?

  • @Kaushh06
    @Kaushh06 Před 4 dny

    didn't quite understood at 2:11 , you saying the second equation to be linear ? HOW if we have t^2

  • @childhoodforever223

    Thank you _/\_

  • @xunhaowang4339
    @xunhaowang4339 Před 6 dny

    4:00 Where can I find the video about the CGCNN? Thanks!

  • @johnnyluna8341
    @johnnyluna8341 Před 8 dny

    Thank you so much!! Awesome videos :)

  • @aadiroy4490
    @aadiroy4490 Před 9 dny

    barbaric. lamo de d.

  • @yosemiteNMtrawler
    @yosemiteNMtrawler Před 10 dny

    First! this show is always informative and entertaining, thanks for making it y'all

  • @demscout
    @demscout Před 10 dny

    Thanks a lot!

  • @paris_cellover
    @paris_cellover Před 10 dny

    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?

    • @TaylorSparks
      @TaylorSparks Před 10 dny

      Yes

    • @paris_cellover
      @paris_cellover Před 10 dny

      Another question is "peaks in background" showcased the phase you didn't import into your refinement, i.e. the impurities, isn't it?

    • @paris_cellover
      @paris_cellover Před 10 dny

      does the act put " impurities' peaks into background' make the weight fraction of your both phases wrong?

    • @TaylorSparks
      @TaylorSparks Před 10 dny

      @@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

    • @paris_cellover
      @paris_cellover Před 10 dny

      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

  • @millanmarkjustinem.7082

    Does the unit for avogadro's number is atom/mole?

    • @TaylorSparks
      @TaylorSparks Před 13 dny

      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

  • @muthuprithivi744
    @muthuprithivi744 Před 13 dny

    What type of graph are you using in this vedio.. can you mention its name and how you got that y fit in graph?

    • @TaylorSparks
      @TaylorSparks Před 13 dny

      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.

  • @sethguythewizard
    @sethguythewizard Před 13 dny

    theres a strong echo for this video

  • @konarkmadan4782
    @konarkmadan4782 Před 14 dny

    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.

  • @NaveenSingh-pv3lk
    @NaveenSingh-pv3lk Před 14 dny

    Great explanation ❤

  • @user-dq1rx3dn9m
    @user-dq1rx3dn9m Před 15 dny

    such short video help me to understand the lever rule so easily, thank you, respect❤

  • @kanimozhik8509
    @kanimozhik8509 Před 19 dny

    Becker and doring concept upload sir

  • @user-on4yf8tj1c
    @user-on4yf8tj1c Před 20 dny

    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?

  • @fahadmoin3192
    @fahadmoin3192 Před 20 dny

    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!

  • @imanmahamade7725
    @imanmahamade7725 Před 21 dnem

    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).

    • @TaylorSparks
      @TaylorSparks Před 21 dnem

      I think if the material undergoes recrystallization you will always see a pretty dramatic change in strength and hardness as well as ductility.

  • @SadkAtaMzrak
    @SadkAtaMzrak Před 23 dny

    This really was the best video on any topic I've ever watched. Love your channel, you help me a lot.

  • @boramorkan311
    @boramorkan311 Před 23 dny

    thanks for every new episode

    • @TaylorSparks
      @TaylorSparks Před 23 dny

      Absolutely my pleasure. We will keep them coming!

  • @farukkilic6010
    @farukkilic6010 Před 24 dny

    Teşekkürler

  • @lesnerchai2186
    @lesnerchai2186 Před 24 dny

    I am so grateful to have you.

    • @TaylorSparks
      @TaylorSparks Před 24 dny

      Thank you so much! Please subscribe and share! I will keep creating great materials content

  • @ghazalhassani7143
    @ghazalhassani7143 Před 25 dny

    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?

    • @TaylorSparks
      @TaylorSparks Před 25 dny

      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.

    • @ghazalhassani7143
      @ghazalhassani7143 Před 25 dny

      @TaylorSparks thank you for your guidance. It helped me alot Your videos are a great help in undrestanding complicated lessons❤

    • @TaylorSparks
      @TaylorSparks Před 25 dny

      @@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!!

    • @ghazalhassani7143
      @ghazalhassani7143 Před 25 dny

      @@TaylorSparks fantastic

  • @ladel2o1a48
    @ladel2o1a48 Před 27 dny

    Noice. Thanks

  • @danielo6282
    @danielo6282 Před měsícem

    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.

  • @LT72884
    @LT72884 Před měsícem

    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

    • @TaylorSparks
      @TaylorSparks Před 23 dny

      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.

    • @LT72884
      @LT72884 Před 23 dny

      @@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.

    • @TaylorSparks
      @TaylorSparks Před 23 dny

      @@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.

    • @LT72884
      @LT72884 Před 23 dny

      @@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

  • @Geezerbird859
    @Geezerbird859 Před měsícem

    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 .

  • @nooralhuda3147
    @nooralhuda3147 Před měsícem

    اطرش بالزفة 🥲💔

  • @George-rq1yp
    @George-rq1yp Před měsícem

    wow very helpful demo, thank you!

  • @nathanaelmccooeye3204
    @nathanaelmccooeye3204 Před měsícem

    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?

  • @aliciapark523
    @aliciapark523 Před měsícem

    amazing

  • @Sixsetllc
    @Sixsetllc Před měsícem

    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!

    • @TaylorSparks
      @TaylorSparks Před měsícem

      Sure thing. Happy to help. My email is sparks@eng.utah.edu

  • @8848nepalyt
    @8848nepalyt Před měsícem

    Very informative. Thank you professor.

  • @lepetitengenheiro419
    @lepetitengenheiro419 Před měsícem

    Great explanation for a such important topic!

  • @TessySega
    @TessySega Před měsícem

    where the hell did we get 3.19????

    • @TaylorSparks
      @TaylorSparks Před měsícem

      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

  • @creed8319
    @creed8319 Před měsícem

    Read Ziyuan Rao paper on finding new HEA Invar alloys ... In his paper, they done it in 2022

    • @TaylorSparks
      @TaylorSparks Před měsícem

      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.

  • @christophchristoph9909
    @christophchristoph9909 Před měsícem

    Great to see work on sustainable concrete! So important and yet so underexplored! 👏👏

  • @U20ME207JaiSingrodia
    @U20ME207JaiSingrodia Před měsícem

    Hey!! Can we do this by using any programming language??

  • @jimlbeaver
    @jimlbeaver Před měsícem

    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!

  • @user-qy4rt3qe3l
    @user-qy4rt3qe3l Před měsícem

    Why did you get 105mm when magnification was 155x