Ben Blaiszik
Orcid: 0000-0002-5326-4902
According to our database1,
Ben Blaiszik
authored at least 40 papers
between 2014 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
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
Twins in rotational spectroscopy: Does a rotational spectrum uniquely identify a molecule?
CoRR, 2024
2023
Accelerating Electronic Stopping Power Predictions by 10 Million Times with a Combination of Time-Dependent Density Functional Theory and Machine Learning.
CoRR, 2023
14 Examples of How LLMs Can Transform Materials Science and Chemistry: A Reflection on a Large Language Model Hackathon.
CoRR, 2023
Deep Learning for Automated Experimentation in Scanning Transmission Electron Microscopy.
CoRR, 2023
Proceedings of the Practice and Experience in Advanced Research Computing, 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
IEEE Trans. Parallel Distributed Syst., 2022
Linking scientific instruments and computation: Patterns, technologies, and experiences.
Patterns, 2022
High-Throughput Virtual Screening and Validation of a SARS-CoV-2 Main Protease Noncovalent Inhibitor.
J. Chem. Inf. Model., 2022
FAIR for AI: An interdisciplinary, international, inclusive, and diverse community building perspective.
CoRR, 2022
FAIR principles for AI models, with a practical application for accelerated high energy diffraction microscopy.
CoRR, 2022
3D Convolutional Neural Networks for Dendrite Segmentation Using Fine-Tuning and Hyperparameter Optimization.
CoRR, 2022
CoRR, 2022
2021
DLHub: Simplifying publication, discovery, and use of machine learning models in science.
J. Parallel Distributed Comput., 2021
Protein-Ligand Docking Surrogate Models: A SARS-CoV-2 Benchmark for Deep Learning Accelerated Virtual Screening.
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
Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 2021
2020
Confluence of Artificial Intelligence and High Performance Computing for Accelerated, Scalable and Reproducible Gravitational Wave Detection.
CoRR, 2020
HydroNet: Benchmark Tasks for Preserving Intermolecular Interactions and Structural Motifs in Predictive and Generative Models for Molecular Data.
CoRR, 2020
CoRR, 2020
Proceedings of the 2nd IEEE/ACM Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing, 2020
Proceedings of the HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing, 2020
2019
CoRR, 2019
Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 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 2019 IEEE International Parallel and Distributed Processing Symposium, 2019
2018
Proceedings of the Practice and Experience on Advanced Research Computing, 2018
2017
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017
2015
Proceedings of the 11th IEEE International Conference on e-Science, 2015
Proceedings of the 2nd IEEE/ACM International Symposium on Big Data Computing, 2015
2014
Proceedings of the Big Data and High Performance Computing, 2014