Gregory H. Teichert

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 5

Top Topics

Variational Inference

Machine Learning

Statistical Mechanics

Top Venues

Publications

Gregory H. Teichert, S. Das, M. Faghih Shojaei, J. Holber, T. Mueller, L. Hung, Vikram Gavini, Krishna C. Garikipati
Bridging scales with Machine Learning: From first principles statistical mechanics to continuum phase field computations to study order disorder transitions in LixCoO2. CoRR (2023)
Wyatt Bridgman, Xiaoxuan Zhang, Gregory H. Teichert, Mohammad Khalil, Krishna C. Garikipati, Reese Jones
A heteroencoder architecture for prediction of failure locations in porous metals using variational inference. CoRR (2022)
X. Zhang, Gregory H. Teichert, Z. Wang, Matthew Duschenes, S. Srivastava, A. Sunderarajan, E. Livingston, Krishna C. Garikipati
mechanoChemML: A software library for machine learning in computational materials physics. CoRR (2021)
Gregory H. Teichert, Sambit Das, Muratahan Aykol, Chirranjeevi Balaji Gopal, Vikram Gavini, Krishna C. Garikipati
phase stability studied by machine learning-enabled scale bridging between electronic structure, statistical mechanics and phase field theories. CoRR (2021)
Gregory H. Teichert, Anirudh Natarajan, Anton Van der Ven, Krishna C. Garikipati
Active learning workflows and integrable deep neural networks for representing the free energy functions of alloy. CoRR (2020)
Gregory H. Teichert, Brian D. Jensen
Design and fabrication of a fully-compliant mechanism for control of cellular injection arrays. Prod. Eng. 7 (5) (2013)