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Gregory H. Teichert
Publication Activity (10 Years)
Years Active: 2013-2023
Publications (10 Years): 5
Top Topics
Variational Inference
Machine Learning
Statistical Mechanics
Free Energy
Top Venues
CoRR
Prod. Eng.
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Publications
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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)