Sam Reeve

Sam Reeve is PhD student in the Strachan Research Group within the School of Materials Engineering at Purdue University in West Lafayette, IN. He obtained his B.S. in Materials Engineering from Iowa State University in 2013. His interests fall in the intersection of materials and computational sciences, focusing primarily on atomistic simulations and uncertainty quantification. Specific projects have ranged from investigating novel properties of martensitic and ferroelectric nanostructures to understanding errors arising from the input models in molecular dynamics. He has helped created multiple nanoHUB tools enabling online simulation for materials research and education and has twice won the Magoon Award for excellence in undergraduate teaching from the Purdue University College of Engineering.

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From Atoms to Materials: Predictive Theory and Simulations (edX) EdX
Purdue University,PurdueX

From Atoms to Materials: Predictive Theory and Simulations (edX)

Dive into the fascinating world of material science with 'From Atoms to Materials: Predictive Theory and Simulations'. This course offers an in-depth exploration of how materials behave at the atomic level, using predictive theory and advanced simulations. Gain insights into the essential physics that governs materials' properties and learn how these principles translate to the macroscopic world.

No sessions available
5-12 Weeks
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