12 citations · 16 across the 12 of their papers we have counts for
4 papers · 1 filter
Learning Population-Level Dynamics through a Latent Fokker--Planck Model and Discrepancy Transport Maps
Chengyang Huang, Krishna Garikipati
Many scientific and engineering systems are observed as time-indexed probability distributions whose governing dynamics are unknown and whose individual trajectories are unavailabl…
Bayesian Variational System Identification with Weak-Form Residual Likelihoods
Chengyang Huang, Siddhartha Srivastava, Krishna Garikipati +1
We consider system identification for discovering parameterized operators in governing partial differential equations (PDEs) from noisy spatiotemporal data. Building on variational…
Attention-based Multi-fidelity Machine Learning Model for Computational Fractional Flow Reserve Assessment
Haizhou Yang, C. Alberto Figueroa, Krishna Garikipati
Coronary Artery Disease (CAD) is one of the most common forms of heart disease, which is caused by a buildup of atherosclerotic plaque (known as stenosis) in the coronary arteries,…
Bridging scales with Machine Learning: From first principles statistical mechanics to continuum phase field computations to study order disorder transitions in LixCoO2
G. H. Teichert, S. Das, M. Faghih Shojaei +5
LixTMO2 (TM=Ni, Co, Mn) forms an important family of cathode materials for Li-ion batteries, whose performance is strongly governed by Li composition-dependent crystal structure an…