AI4S

Publications

2022

IEEE/ACM International Workshop on Artificial Intelligence and Machine Learning for Scientific Applications, AI4S@SC 2022, Dallas, TX, USA, November 13-18, 2022 AI4S (2022)
Orcun Yildiz, Henry Chan, Krishnan Raghavan, William Judge, Mathew J. Cherukara, Prasanna Balaprakash, Subramanian Sankaranarayanan, Tom Peterka
Automated Continual Learning of Defect Identification in Coherent Diffraction Imaging. AI4S (2022)
Fabian Orland, Kim Sebastian Brose, Julian Bissantz, Federica Ferraro, Christian Terboven, Christian Hasse
A Case Study on Coupling OpenFOAM with Different Machine Learning Frameworks. AI4S (2022)
Lesi Wang, Dongfang Zhao
Practical Federated Learning Infrastructure for Privacy-Preserving Scientific Computing. AI4S (2022)
Mathew Boyer, Wesley Brewer, Dylan Jude, Ian D. Dettwiller
Scalable Integration of Computational Physics Simulations with Machine Learning. AI4S (2022)
Nadav Schneider, Matan Rusanovsky, Raz Gvishi, Gal Oren
Determining HEDP Foams' Quality with Multi-View Deep Learning Classification. AI4S (2022)
Hana Ahmed, Roselyne Tchoua, Jay F. Lofstead
Ensuring AI For Science is Science: Making Randomness Portable. AI4S (2022)
Rajat Arora
PhySRNet: Physics informed super-resolution network for application in computational solid mechanics. AI4S (2022)
Akash Dutta, Jordi Alcaraz, Ali TehraniJamsaz, Anna Sikora, Eduardo César, Ali Jannesari
Pattern-based Autotuning of OpenMP Loops using Graph Neural Networks. AI4S (2022)