Ryan Jacobs
Orcid: 0000-0003-2229-6730
According to our database1,
Ryan Jacobs
authored at least 12 papers
between 2017 and 2024.
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Book In proceedings Article PhD thesis Dataset OtherLinks
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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
Regression with Large Language Models for Materials and Molecular Property Prediction.
CoRR, 2024
Accelerating Domain-Aware Electron Microscopy Analysis Using Deep Learning Models with Synthetic Data and Image-Wide Confidence Scoring.
CoRR, 2024
Determining Domain of Machine Learning Models using Kernel Density Estimates: Applications in Materials Property Prediction.
CoRR, 2024
2023
Role of multifidelity data in sequential active learning materials discovery campaigns: case study of electronic bandgap.
Mach. Learn. Sci. Technol., December, 2023
2022
Data for: Impact of Non-Uniform Thermionic Emission on the Transition Behavior between Temperature- and Space-Charge-Limited Emission.
Dataset, May, 2022
2021
Performance, Successes and Limitations of Deep Learning Semantic Segmentation of Multiple Defects in Transmission Electron Micrographs.
CoRR, 2021
2017
Proceedings of the 2017 IEEE Global Communications Conference, 2017