Carry the Two Emerging Technologies Episode 4: Materials Science
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Sep 11, 2025 Logan Ward is a PhD computational scientist at Argonne National Labs, while Jason Hattrick-Simpers is a professor of material science at the University of Toronto. They dive into the evolution of materials science, emphasizing collaboration between computational scientists and experimentalists. Topics like bias in scientific models and the journey of converting salty water into lithium for batteries highlight the challenges faced in research. Their insights on data accessibility and the importance of transparency in scientific methodologies are both enlightening and thought-provoking.
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Computation Unlocks New Materials
- Large quantum-calculation databases plus machine learning let researchers search huge chemical spaces for surprising new materials.
- This enables finding 'islands of performance' that humans would likely miss.
Hunting Alloys For Fusion
- Danny Perez described searching for alloys to survive fusion conditions by exploring high-entropy alloys with many elements at high concentrations.
- He uses computation to narrow the candidate space before experimental synthesis verifies results.
Materials Are Multi-Scale Problems
- Materials are inherently multi-scale, so no single simulation method covers all relevant sizes and times.
- Researchers chain quantum, classical, and continuum models and numerical schemes to bridge scales.