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Erin Antono

Showing results (1-10 of 4) with videos related to

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The Journal of Chemical Physics|July 17, 2020
Assessing the frontier: Active learning, model accuracy, and multi-objective candidate discovery and optimizationZachary Del Rosario, Matthias Rupp, Yoolhee Kim, et al.
Inorganic Chemistry|July 4, 2019
Single-Crystal Automated Refinement (SCAR): A Data-Driven Method for Determining Inorganic StructuresGayatri Viswanathan, Anton O Oliynyk, Erin Antono, et al.
The Journal of Physical Chemistry. A|September 17, 2020
Machine-Learning Guided Quantum Chemical and Molecular Dynamics Calculations to Design Novel Hole-Conducting Organic MaterialsErin Antono, Nobuyuki N Matsuzawa, Julia Ling, et al.
Scientific Reports|September 30, 2016
Unsupervised Data Mining in nanoscale X-ray Spectro-Microscopic Study of NdFeB MagnetXiaoyue Duan, Feifei Yang, Erin Antono, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
The Journal of Chemical Physics|July 17, 2020
Assessing the frontier: Active learning, model accuracy, and multi-objective candidate discovery and optimizationZachary Del Rosario, Matthias Rupp, Yoolhee Kim, et al.
Inorganic Chemistry|July 4, 2019
Single-Crystal Automated Refinement (SCAR): A Data-Driven Method for Determining Inorganic StructuresGayatri Viswanathan, Anton O Oliynyk, Erin Antono, et al.
The Journal of Physical Chemistry. A|September 17, 2020
Machine-Learning Guided Quantum Chemical and Molecular Dynamics Calculations to Design Novel Hole-Conducting Organic MaterialsErin Antono, Nobuyuki N Matsuzawa, Julia Ling, et al.
Scientific Reports|September 30, 2016
Unsupervised Data Mining in nanoscale X-ray Spectro-Microscopic Study of NdFeB MagnetXiaoyue Duan, Feifei Yang, Erin Antono, et al.
Pageof 1