Abstract is missing.
- Automated Continual Learning of Defect Identification in Coherent Diffraction ImagingOrcun Yildiz, Henry Chan, Krishnan Raghavan, William Judge, Mathew J. Cherukara, Prasanna Balaprakash, Subramanian Sankaranarayanan, Tom Peterka. 1-6 [doi]
- A Case Study on Coupling OpenFOAM with Different Machine Learning FrameworksFabian Orland, Kim Sebastian Brose, Julian Bissantz, Federica Ferraro, Christian Terboven, Christian Hasse. 7-12 [doi]
- PhySRNet: Physics informed super-resolution network for application in computational solid mechanicsRajat Arora. 13-18 [doi]
- Determining HEDP Foams' Quality with Multi-View Deep Learning ClassificationNadav Schneider, Matan Rusanovsky, Raz Gvishi, Gal Oren 0001. 19-25 [doi]
- Pattern-based Autotuning of OpenMP Loops using Graph Neural NetworksAkash Dutta, Jordi Alcaraz, Ali TehraniJamsaz, Anna Sikora, Eduardo César, Ali Jannesari 0001. 26-31 [doi]
- Ensuring AI For Science is Science: Making Randomness PortableHana Ahmed, Roselyne Tchoua, Jay F. Lofstead. 32-37 [doi]
- Practical Federated Learning Infrastructure for Privacy-Preserving Scientific ComputingLesi Wang, Dongfang Zhao 0001. 38-43 [doi]
- Scalable Integration of Computational Physics Simulations with Machine LearningMathew Boyer, Wesley Brewer, Dylan Jude, Ian D. Dettwiller. 44-49 [doi]