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Ian Foster

Showing results (31-40 of 82) with videos related to

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Iucrj|January 21, 2022
<i>BraggNN</i>: fast X-ray Bragg peak analysis using deep learningZhengchun Liu, Hemant Sharma, Jun-Sang Park, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|July 11, 2012
Towards an Oncology Database (ONCOD) Using a Warehousing ApproachXiaoming Wang, Lili Liu, James Fackenthal, et al.
Communications Chemistry|February 14, 2024
A generative artificial intelligence framework based on a molecular diffusion model for the design of metal-organic frameworks for carbon captureHyun Park, Xiaoli Yan, Ruijie Zhu, et al.
Studies in Health Technology and Informatics|May 4, 2007
Accelerating medical research using the swift workflow systemTiberiu Stef-Praun, Benjamin Clifford, Ian Foster, et al.
Scientific Reports|February 20, 2021
Enabling deeper learning on big data for materials informatics applicationsDipendra Jha, Vishu Gupta, Logan Ward, et al.
Environmental Science & Technology|January 25, 2014
A spatial modeling framework to evaluate domestic biofuel-induced potential land use changes and emissionsJoshua Elliott, Bhavna Sharma, Neil Best, et al.
Journal of Chemical Information and Modeling|December 14, 2021
Uncertainty-Informed Deep Transfer Learning of Perfluoroalkyl and Polyfluoroalkyl Substance ToxicityJeremy Feinstein, Ganesh Sivaraman, Kurt Picel, et al.
The Journal of Physical Chemistry. A|June 30, 2021
Graph-Based Approaches for Predicting Solvation Energy in Multiple Solvents: Open Datasets and Machine Learning ModelsLogan Ward, Naveen Dandu, Ben Blaiszik, et al.
The Journal of Chemical Physics|July 10, 2023
AL4GAP: Active learning workflow for generating DFT-SCAN accurate machine-learning potentials for combinatorial molten salt mixturesJicheng Guo, Vanessa Woo, David A Andersson, et al.
Computational and Structural Biotechnology Journal|March 1, 2016
A case study for cloud based high throughput analysis of NGS data using the globus genomics systemKrithika Bhuvaneshwar, Dinanath Sulakhe, Robinder Gauba, et al.
Pageof 9

Showing results (31-40 of 82) with videos related to

Sort By:
Pageof 9
Iucrj|January 21, 2022
<i>BraggNN</i>: fast X-ray Bragg peak analysis using deep learningZhengchun Liu, Hemant Sharma, Jun-Sang Park, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|July 11, 2012
Towards an Oncology Database (ONCOD) Using a Warehousing ApproachXiaoming Wang, Lili Liu, James Fackenthal, et al.
Communications Chemistry|February 14, 2024
A generative artificial intelligence framework based on a molecular diffusion model for the design of metal-organic frameworks for carbon captureHyun Park, Xiaoli Yan, Ruijie Zhu, et al.
Studies in Health Technology and Informatics|May 4, 2007
Accelerating medical research using the swift workflow systemTiberiu Stef-Praun, Benjamin Clifford, Ian Foster, et al.
Scientific Reports|February 20, 2021
Enabling deeper learning on big data for materials informatics applicationsDipendra Jha, Vishu Gupta, Logan Ward, et al.
Environmental Science & Technology|January 25, 2014
A spatial modeling framework to evaluate domestic biofuel-induced potential land use changes and emissionsJoshua Elliott, Bhavna Sharma, Neil Best, et al.
Journal of Chemical Information and Modeling|December 14, 2021
Uncertainty-Informed Deep Transfer Learning of Perfluoroalkyl and Polyfluoroalkyl Substance ToxicityJeremy Feinstein, Ganesh Sivaraman, Kurt Picel, et al.
The Journal of Physical Chemistry. A|June 30, 2021
Graph-Based Approaches for Predicting Solvation Energy in Multiple Solvents: Open Datasets and Machine Learning ModelsLogan Ward, Naveen Dandu, Ben Blaiszik, et al.
The Journal of Chemical Physics|July 10, 2023
AL4GAP: Active learning workflow for generating DFT-SCAN accurate machine-learning potentials for combinatorial molten salt mixturesJicheng Guo, Vanessa Woo, David A Andersson, et al.
Computational and Structural Biotechnology Journal|March 1, 2016
A case study for cloud based high throughput analysis of NGS data using the globus genomics systemKrithika Bhuvaneshwar, Dinanath Sulakhe, Robinder Gauba, et al.
Pageof 9