Data-assisted combustion simulations with dynamic submodel assignment using random forests. - Wai Tong Chung; Aashwin Ananda Mishra; Nikolaos Perakis; Matthias Ihme (CoRR, 2020)

Accelerating High-fidelity Combustion Simulations with Classification Algorithms. - Wai Tong Chung; Aashwin Ananda Mishra; Nikolaos Perakis; Matthias Ihme (AAAI Spring Symposium: MLPS, 2021)

Data Driven Physics Constrained Perturbations for Turbulence Model Uncertainty Estimation. - Jan Felix Heyse; Aashwin Ananda Mishra; Gianluca Iaccarino (AAAI Spring Symposium: MLPS, 2021)

Interpretable Data-driven Methods for Subgrid-scale Closure in LES for Transcritical LOX/GCH4 Combustion. - Wai Tong Chung; Aashwin Ananda Mishra; Matthias Ihme (CoRR, 2021)

Physics Constrained Unsupervised Deep Learning for Rapid, High Resolution Scanning Coherent Diffraction Reconstruction. - Oliver Hoidn; Aashwin Ananda Mishra; Apurva Mehta (CoRR, 2023)

Uncertainty Quantification via Stable Distribution Propagation. - Felix Petersen; Aashwin Ananda Mishra; Hilde Kuehne; Christian Borgelt; Oliver Deussen; Mikhail Yurochkin (ICLR, 2024)

Generalizing Stochastic Smoothing for Differentiation and Gradient Estimation. - Felix Petersen; Christian Borgelt; Aashwin Ananda Mishra; Stefano Ermon (CoRR, 2024)

Network Models of Expertise in the Complex Task of Operating Particle Accelerators. - Roussel Rahman; Jane Shtalenkova; Aashwin Ananda Mishra; Wan-Lin Hu (CoRR, 2024)