Teaching
| MSE3300J/VK330 Thermodynamics of Materials | Fall 2020/2021/2022 | (Course syllabus) |
| VK335 Kinetics and Transitions in Materials Engineering | Summer 2021/2022 | (Course syllabus) |
| MSE6502J/VK554 Computational Approaches in MSE | Spring 2022/2023 | (Course syllabus, “double first-class” university-enterprise collaborative course with CATL) |
Recommended materials
| Ab-initio calculations | |
| Marques, Miguel AL, and E. K. U. Gross. “A primer in density functional theory.” Lecture Notes in Physics 620 (2003): 144-184. | (An introductory book you can find online) (Download) |
| Molecular simulations | |
| Daan Frenkel and Berend Smit. Understanding Molecular Simulation: From Algorithms to Applications, 2nd Edition, Elsevier (2002). | (A classical book on the basics of molecular simulations) |
| Field, Martin J. A Practical Introduction to the Simulation of Molecular Systems. Cambridge University Press (1999). | (A book discusses the basics of molecular simulations and provides a tutorial for pDynamo) |
| Phase field method | |
| Biner, S. Bulent. Programming phase-field modeling. Switzerland: Springer International Publishing (2017). | (A book that can teach you how to develop your own phase field codes) |
| Physics | |
| Charles Kittel, Introduction to Solid State Physics, 8th Edition, Wiley (2014). | (Everyone who’s in the field of solid state physics should know this book) |
| Mechanics | |
| Russell C. Hibbeler, Mechanics of Materials, 10th Edition, Pearson (2017). | (A book for beginner) |
| J. R. Barber, Elasticity, 3rd Edition, Springer (2010). | (A more advanced book discusses the analytic approaches to a series of elasticity problems) |
| Wei Cai and William D. Nix, Imperfection in Crystalline Solids, Cambridge University (2016). | (A book discusses various defects in crystalline solid systems) |
| Machine learning | |
| Roberts, Daniel A., Sho Yaida, and Boris Hanin, The Principles of Deep Learning Theory, arXiv preprint arXiv:2106.10165 (2021). | (A recent book on the ab-initio theories of deep learning) (Download) |
| PyMC documentation | (PyMc, a package for building Bayesian models) |
|
Piero Scaruffi, Intelligence is not Artificial (expanded edition), Create Space Independent Publishing Platform (2018). |
(A book viewing AI from a sociological view) (Download) |
