33:37

Episode 106: Photoluminescent Materials

05:57

CIF Analyzers: Crystallography Just Got a Data Upgrade

34:32

Episode 105: Cooling Paints

05:10

Hacking Your Lab: Turn Old Equipment into Smart Data Loggers

01:04:24

Episode 104: The Winding Path to Materials Discovery

46:44

Episode 103: MatterGen

03:56

Comparing failure modes in freeze cast microstructures

42:03

Undercooled podcast interview on location at the TMS 2025 meeting. x-Post from @smyUmich

07:06

Spring skiing Ogden chutes

06:08

Computational approach for identifying new binders in WC hardmetals

19:54

Supercharging Materials Discovery feat. @usasciencefest

36:30

Episode 102: Integrating Materials and Manufacturing Innovation

05:00

Streamlining Multi-Scale Materials Modeling with MUSICode

23:49

Materials Science Hot Takes: Ep3 Dmitry Bedrov

49:35

Episode 101: All About Biomatter

04:16

Hyperparameter tuning of physics-informed neural nets makes a difference

33:55

Episode 100: Materials for Bikes

03:04

Using phase-field simulations to train deep learning models to identify dendritic microstructures

53:35

Episode 99: Bulk Metallic Glasses

52:13

Episode 98: Accelerating Catalyst Research with Meta

05:19

Ski Wax Secrets: What Makes You Glide Faster? 🏔️🔬

39:34

Episode 97: Titanium

47:06

Episode 96: Spark Ablation with VSParticle

56:28

Episode 95: You Don't Know Anything About Steel

48:40

Episode 94: An Introduction to Quantum Materials

46:04

Episode 93: An Introduction to Pyrometallurgy

05:52

Mighty Mushrooms: Inspiring Advanced Metamaterials for Energy Dissipation

08:22

Use SciSpace + ChatGPT instead of Google Scholar for literature reviews

07:53

Using symmetry to construct Crystals: Building Zeolite Frameworks with VESTA

06:39

Can we use Gemini Pro to mine materials data from literature?

22:46

Grouping matter by symmetry: Point Groups, Space Groups, and Crystal Systems

32:01

Understanding Crystal Structures: Symmetry and Lattices Explained

39:34

Episode 92: The Quest for Pure Uranium

11:57

Honegumi tutorial #2. multiobjective polymer formulation

14:46

Making complex Bayesian Optimization simple with Honegumi

39:34

33. Large Language Models in Materials Science

26:18

32. Bayesian Optimization

20:29

31. Gaussian Processes

10:07

30a Coding a Naive Bayes classifier by hand

17:35

30. Bayes Theorem and Naive bayes classifier

40:35

Episode 91: High Entropy Alloys

16:14

29. Diffusion Models

30:49

28. Image segmentation

31:50

Episode 90: The Big Dig Incident

55:07

Episode 89: Special Applications of Microscopy Technologies

36:37

Episode 88: Accelerating Materials Discovery with Microsoft

36:35

Episode 87: Stories of a Materials Salesman

01:03:59

Lecture in Materials 9: Anil Virkar "Thermodynamic and kinetic considerations of fuel cell catalyst"

01:02:14

Lecture in Materials 8: Angie Richardson & Lindsay Fuoco "Piezoelectric ceramic processing"

01:05:31

Lecture in Materials 7: Dan Belnap "HPHT diamond sintering and nanodiamond manufacturing"

07:15

Use GitHub Copilot Chat to interactively create documentation, add type hints, and make unit tests

08:37

Interactive sample transfer workflow with slack notifications

04:11

Human-in-the-loop Bayesian Optimization

46:41

Episode 86: PHAs and Biodegradable Plastic

45:10

Materialism Podcast Ep 85: Electron Backscatter Diffraction

16:26

Max Balandat (Meta Adaptive Experimentation) "Bayesian Optimization for Sustainable Concrete"

16:17

Martin Fitzner "Industrial view on Bayesian optimization A perfect match for the low/no-data regime"

13:21

Discovering materials twice as fast at a fraction of the cost through Bayesian optimization

01:07:59

Lecture in Materials 6: Ian Harvey "Rocket nozzle materials"

01:06:33

Lecture in Materials 5. S. Elango Elangovan "Mission to Mars: One small step before a giant leap"