Jamie Holber

According to our database, Jamie Holber authored at least 2 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Physics- and data-driven Active Learning of neural network representations for free energy functions of materials from statistical mechanics.

Jamie Holber, Krishna C. Garikipati

CoRR, March, 2025

2023

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