From post

Role of multifidelity data in sequential active learning materials discovery campaigns: case study of electronic bandgap.

, , и . Mach. Learn. Sci. Technol., 4 (4): 45060 (декабря 2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

 

Другие публикации лиц с тем же именем

Role of multifidelity data in sequential active learning materials discovery campaigns: case study of electronic bandgap., , и . Mach. Learn. Sci. Technol., 4 (4): 45060 (декабря 2023)Foundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Science., , , , , , , , , и 10 other автор(ы). J. Open Source Softw., 9 (93): 5467 (января 2024)Foundry-ML (latest)., , , , , , , , , и 10 other автор(ы). (января 2024)Performance, Successes and Limitations of Deep Learning Semantic Segmentation of Multiple Defects in Transmission Electron Micrographs., , , , , , , , , и 3 other автор(ы). CoRR, (2021)SDR-Based Experiments for LTE-LAA Based Coexistence Systems with Improved Design., , , , и . GLOBECOM, стр. 1-6. IEEE, (2017)Data for: Impact of Non-Uniform Thermionic Emission on the Transition Behavior between Temperature- and Space-Charge-Limited Emission., , , и . (мая 2022)Digital Engineering of Large Scale System of Systems: End-to-End (E2E) Modeling and Analysis Environment., , , , , и . SOSE, стр. 120-125. IEEE, (2021)A Complex Network Framework for Validated Assessments of Systems of Systems Robustness., , , , и . IEEE Syst. J., 16 (1): 1092-1102 (2022)