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Emin: A First-Principles Thermochemical Descriptor for Predicting Molecular Synthesizability., , , , , , и . J. Chem. Inf. Model., 64 (4): 1277-1289 (февраля 2024)HydroNet: Benchmark Tasks for Preserving Intermolecular Interactions and Structural Motifs in Predictive and Generative Models for Molecular Data., , , , , , , и . CoRR, (2020)Serverless Workflows for Indexing Large Scientific Data., , , , , , , , и . WOSC@Middleware, стр. 43-48. ACM, (2019)DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies., , , , , , , , , и 82 other автор(ы). CoRR, (2023)Accelerating Electronic Stopping Power Predictions by 10 Million Times with a Combination of Time-Dependent Density Functional Theory and Machine Learning., , , , , и . CoRR, (2023)Accelerating Communications in Federated Applications with Transparent Object Proxies., , , , , , , и . SC, стр. 59:1-59:15. ACM, (2023)DLHub: Model and Data Serving for Science., , , , , , , , , и . IPDPS, стр. 283-292. IEEE, (2019)Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision., , , , , , , , , и 6 other автор(ы). BDCAT, стр. 15:1-15:10. ACM, (2023)Creating Training Data for Scientific Named Entity Recognition with Minimal Human Effort., , , , , , , , , и . ICCS (1), том 11536 из Lecture Notes in Computer Science, стр. 398-411. Springer, (2019)Co-design Center for Exascale Machine Learning Technologies (ExaLearn)., , , , , , , , , и 37 other автор(ы). Int. J. High Perform. Comput. Appl., 35 (6): 598-616 (2021)