Logan T. Ward
Orcid: 0000-0002-1323-5939
According to our database1,
Logan T. Ward
authored at least 37 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
<i>E</i><sub>min</sub>: A First-Principles Thermochemical Descriptor for Predicting Molecular Synthesizability.
J. Chem. Inf. Model., February, 2024
Foundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Science.
J. Open Source Softw., January, 2024
Foundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Science.
Dataset, January, 2024
Foundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Science.
Dataset, January, 2024
Foundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Science.
Dataset, January, 2024
Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows.
CoRR, 2024
CoRR, 2024
MProt-DPO: Breaking the ExaFLOPS Barrier for Multimodal Protein Design Workflows with Direct Preference Optimization.
Proceedings of the International Conference for High Performance Computing, 2024
Accelerating Function-Centric Applications by Discovering, Distributing, and Retaining Reusable Context in Workflow Systems.
Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing, 2024
2023
Int. J. High Perform. Comput. Appl., November, 2023
Accelerating Electronic Stopping Power Predictions by 10 Million Times with a Combination of Time-Dependent Density Functional Theory and Machine Learning.
CoRR, 2023
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies.
CoRR, 2023
14 Examples of How LLMs Can Transform Materials Science and Chemistry: A Reflection on a Large Language Model Hackathon.
CoRR, 2023
Accelerating Communications in Federated Applications with Transparent Object Proxies.
Proceedings of the International Conference for High Performance Computing, 2023
Fine-grained accelerator partitioning for Machine Learning and Scientific Computing in Function as a Service Platform.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023
Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023
Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision.
Proceedings of the IEEE/ACM 10th International Conference on Big Data Computing, 2023
2022
Proceedings of the IEEE/ACM Workshop on Workflows in Support of Large-Scale Science, 2022
2021
DLHub: Simplifying publication, discovery, and use of machine learning models in science.
J. Parallel Distributed Comput., 2021
Int. J. High Perform. Comput. Appl., 2021
Evening the Score: Targeting SARS-CoV-2 Protease Inhibition in Graph Generative Models for Therapeutic Candidates.
CoRR, 2021
Benchmarking Deep Graph Generative Models for Optimizing New Drug Molecules for COVID-19.
CoRR, 2021
AI- and HPC-enabled Lead Generation for SARS-CoV-2: Models and Processes to Extract Druglike Molecules Contained in Natural Language Text.
CoRR, 2021
Not All Tasks Are Created Equal: Adaptive Resource Allocation for Heterogeneous Tasks in Dynamic Workflows.
Proceedings of the 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS), 2021
Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance Computing.
Proceedings of the IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2021
Proceedings of the ICS '21: 2021 International Conference on Supercomputing, 2021
2020
HydroNet: Benchmark Tasks for Preserving Intermolecular Interactions and Structural Motifs in Predictive and Generative Models for Molecular Data.
CoRR, 2020
2019
Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 2019
Proceedings of the 5th International Workshop on Serverless Computing, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019
Creating Training Data for Scientific Named Entity Recognition with Minimal Human Effort.
Proceedings of the Computational Science - ICCS 2019, 2019
Proceedings of the 15th International Conference on eScience, 2019
2018
Proceedings of the 11th IEEE/ACM International Conference on Utility and Cloud Computing, 2018
2017
Proceedings of the 13th IEEE International Conference on e-Science, 2017