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Can ChatGPT Beat a Materials-Specific AI? | PSP Data Extraction

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Episode 110: LionGlass

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Predicting Hidden Defects in 3D Printed Inconel 718 🚀

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No More Trial & Error: Optimizing 3D Printing with Physics + AI

04:36

Uncertainty quantification in cold spray via residual analysis

03:07

How Cell Phones Would Ruin the Book of Mormon

40:37

Episode 109: Operando Transmission Electron Microscopy

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How to optimize wire-arc DED parameters with only 16 samples??

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Simulating Real Pores in Castings

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Modeling complex grain boundaries

31:29

Episode 108: The History of Food Packaging

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Can AI Spot Flaws in Metal Castings?

06:03

Machine Learning Meets Cold Spray: Predicting Impact Behavior Across Metals

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Materials Maturity Levels: when are materials fully ready to use?

52:19

Episode 107: Glass Science with Schott

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160x speed up in Crystal Plasticity Finite Element Method??

05:03

MicroProcSim: low computation cost simulation of microstructure evolution

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This new crystal breaks all the rules for chiral light!

04:40

Modeling multiaxial fatigue in Ti64 with uncertainty

06:17

Finally, a GPT That Understands Materials Science!

04:41

This Algorithm Repairs Materials Data Better Than Deep Learning

04:15

Slicing Smarter: AI-Powered Precision in Serial Sectioning

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Can We Predict Cracking in Metal Alloys?

33:37

Episode 106: Photoluminescent Materials

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CIF Analyzers: Crystallography Just Got a Data Upgrade

34:32

Episode 105: Cooling Paints

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Hacking Your Lab: Turn Old Equipment into Smart Data Loggers

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Episode 104: The Winding Path to Materials Discovery

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Episode 103: MatterGen

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Comparing failure modes in freeze cast microstructures

42:03

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

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Spring skiing Ogden chutes

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Computational approach for identifying new binders in WC hardmetals

19:54

Supercharging Materials Discovery feat. @USA Science & Engineering Festival

36:30

Episode 102: Integrating Materials and Manufacturing Innovation

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Streamlining Multi-Scale Materials Modeling with MUSICode

23:49

Materials Science Hot Takes: Ep3 Dmitry Bedrov

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Episode 101: All About Biomatter

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Hyperparameter tuning of physics-informed neural nets makes a difference

33:55

Episode 100: Materials for Bikes

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

53:35

Episode 99: Bulk Metallic Glasses

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Episode 98: Accelerating Catalyst Research with Meta

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

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Episode 97: Titanium

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Episode 96: Spark Ablation with VSParticle

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Episode 95: You Don't Know Anything About Steel

48:40

Episode 94: An Introduction to Quantum Materials

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Episode 93: An Introduction to Pyrometallurgy

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Mighty Mushrooms: Inspiring Advanced Metamaterials for Energy Dissipation

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Use SciSpace + ChatGPT instead of Google Scholar for literature reviews

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Using symmetry to construct Crystals: Building Zeolite Frameworks with VESTA

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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

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Honegumi tutorial #2. multiobjective polymer formulation

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Making complex Bayesian Optimization simple with Honegumi

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33. Large Language Models in Materials Science

26:18

32. Bayesian Optimization