Design and fabrication of a fully-compliant mechanism for control of cellular injection arrays. - Gregory H. Teichert; Brian D. Jensen (Prod. Eng., 2013)

Active learning workflows and integrable deep neural networks for representing the free energy functions of alloy. - Gregory H. Teichert; Anirudh Natarajan; Anton Van der Ven; Krishna C. Garikipati (CoRR, 2020)

LixCoO2 phase stability studied by machine learning-enabled scale bridging between electronic structure, statistical mechanics and phase field theories. - Gregory H. Teichert; Sambit Das; Muratahan Aykol; Chirranjeevi Balaji Gopal; Vikram Gavini; Krishna C. Garikipati (CoRR, 2021)

mechanoChemML: A software library for machine learning in computational materials physics. - X. Zhang; Gregory H. Teichert; Z. Wang; Matthew Duschenes; Siddhartha Srivastava; A. Sunderarajan; E. Livingston; Krishna C. Garikipati (CoRR, 2021)

A heteroencoder architecture for prediction of failure locations in porous metals using variational inference. - Wyatt Bridgman; Xiaoxuan Zhang; Gregory H. Teichert; Mohammad Khalil; Krishna C. Garikipati; Reese E. Jones (CoRR, 2022)

Bridging scales with Machine Learning: From first principles statistical mechanics to continuum phase field computations to study order disorder transitions in LixCoO2. - Gregory H. Teichert; Sambit Das; Mostafa Faghih Shojaei; Jamie Holber; Timothy Mueller; Linda Hung; Vikram Gavini; Krishna C. Garikipati (CoRR, 2023)