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Zachary Ulissi

Showing results (1-10 of 8) with videos related to

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The Journal of Chemical Physics|June 1, 2023
Beyond independent error assumptions in large GNN atomistic modelsJanghoon Ock, Tian Tian, John Kitchin, et al.
Journal of Chemical Information and Modeling|April 5, 2023
<i>WhereWulff</i>: A Semiautonomous Workflow for Systematic Catalyst Surface Reactivity under Reaction ConditionsRohan Yuri Sanspeur, Javier Heras-Domingo, John R Kitchin, et al.
Journal of Biomedical Optics|January 11, 2007
Visualization of biological texture using correlation coefficient imagesAlexander P Sviridov, Zachary Ulissi, Victor Chernomordik, et al.
ACS Nano|March 11, 2014
Quantitative theory of adsorptive separation for the electronic sorting of single-walled carbon nanotubesRishabh M Jain, Kevin Tvrdy, Rebecca Han, et al.
The Journal of Physical Chemistry Letters|March 20, 2020
Practical Deep-Learning Representation for Fast Heterogeneous Catalyst ScreeningGeun Ho Gu, Juhwan Noh, Sungwon Kim, et al.
The Journal of Chemical Physics|May 14, 2022
Transfer learning using attentions across atomic systems with graph neural networks (TAAG)Adeesh Kolluru, Nima Shoghi, Muhammed Shuaibi, et al.
ACS Central Science|May 27, 2024
The Open DAC 2023 Dataset and Challenges for Sorbent Discovery in Direct Air CaptureAnuroop Sriram, Sihoon Choi, Xiaohan Yu, et al.
Nature|May 15, 2020
Accelerated discovery of CO<sub>2</sub> electrocatalysts using active machine learningMiao Zhong, Kevin Tran, Yimeng Min, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
The Journal of Chemical Physics|June 1, 2023
Beyond independent error assumptions in large GNN atomistic modelsJanghoon Ock, Tian Tian, John Kitchin, et al.
Journal of Chemical Information and Modeling|April 5, 2023
<i>WhereWulff</i>: A Semiautonomous Workflow for Systematic Catalyst Surface Reactivity under Reaction ConditionsRohan Yuri Sanspeur, Javier Heras-Domingo, John R Kitchin, et al.
Journal of Biomedical Optics|January 11, 2007
Visualization of biological texture using correlation coefficient imagesAlexander P Sviridov, Zachary Ulissi, Victor Chernomordik, et al.
ACS Nano|March 11, 2014
Quantitative theory of adsorptive separation for the electronic sorting of single-walled carbon nanotubesRishabh M Jain, Kevin Tvrdy, Rebecca Han, et al.
The Journal of Physical Chemistry Letters|March 20, 2020
Practical Deep-Learning Representation for Fast Heterogeneous Catalyst ScreeningGeun Ho Gu, Juhwan Noh, Sungwon Kim, et al.
The Journal of Chemical Physics|May 14, 2022
Transfer learning using attentions across atomic systems with graph neural networks (TAAG)Adeesh Kolluru, Nima Shoghi, Muhammed Shuaibi, et al.
ACS Central Science|May 27, 2024
The Open DAC 2023 Dataset and Challenges for Sorbent Discovery in Direct Air CaptureAnuroop Sriram, Sihoon Choi, Xiaohan Yu, et al.
Nature|May 15, 2020
Accelerated discovery of CO<sub>2</sub> electrocatalysts using active machine learningMiao Zhong, Kevin Tran, Yimeng Min, et al.
Pageof 1