Bethany Lusch

Recurrent Neural Network Architecture Search for Geophysical Emulation

Prasanna Balaprakash, Romit Maulik, Romain Egele, 2020, SC20: International Conference for High Performance Computing, Networking, Storage and Analysis.

Deploying deep learning in OpenFOAM with TensorFlow pdf

Romit Maulik, Himanshu Sharma, Elise Jennings, 2020, AIAA Scitech 2021 Forum.

MELA: A Visual Analytics Tool for Studying Multifidelity HPC System Logs

Kwan-Liu Ma, Venkatram Vishwanath, Michael E. Papka, 2019, 2019 IEEE/ACM Industry/University Joint International Workshop on Data-center Automation, Analytics, and Control (DAAC).

Shape Constrained Tensor Decompositions

J. Nathan Kutz, Eric C. Chi, Bethany Lusch, 2019, 2019 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

AIEADA 1.0: Efficient high-dimensional variational data assimilation with machine-learned reduced-order models

Gianmarco Mengaldo, Romit Maulik, Emil Constantinescu, 2021, Geoscientific Model Development.

A Hybrid Climate Modeling System Using AI-assisted Process Emulators

Prasanna Balaprakash, Julie Bessac, Won Chang, 2021 .

PythonFOAM: In-situ data analyses with OpenFOAM and Python pdf

Venkatram Vishwanath, Romit Maulik, Saumil Patel, 2021, J. Comput. Sci..

Data-Driven Deep Learning Emulators for Geophysical Forecasting

Romit Maulik, Vishwas Rao, Rao Kotamarthi, 2021, ICCS.

Surrogate multi-fidelity data and model fusion forscientific discovery and uncertainty quantification inEarth System Models

Romit Maulik, Julie Bessac, Vishwas Rao, 2021 .

AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification pdf

Prasanna Balaprakash, Romit Maulik, Romain Egele, 2021, ArXiv.