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Theoretical and Computational Chemistry

Working Paper

Accurate, Automated Density Functional Theory for Complex Molecules Using On-the-fly Error Correction

Samuel Blau, Evan Walter Clark Spotte-Smith, Brandon Wood, Shyam Dwaraknath, Kristin Persson

796

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3

Citations

Theoretical and Computational Chemistry

Working Paper

BonDNet: A Graph Neural Network for the Prediction of Bond Dissociation Energies for Charged Molecules

Mingjian Wen, Samuel Blau, Evan Spotte-Smith, Shyam Dwaraknath, Kristin Persson

646

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Theoretical and Computational Chemistry

Working Paper

A Framework for Quantifying Uncertainty in DFT Energy Corrections

Amanda Wang, Ryan Kingsbury, Matthew McDermott, Matthew Horton, Anubhav Jain, Shyue Ping Ong, Shyam Dwaraknath, Kristin Persson

1,326

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Energy

Working Paper

Towards a Mechanistic Model of Solid-Electrolyte Interphase Formation and Evolution in Lithium-ion Batteries

Evan Walter Clark Spotte-Smith, Ronald L Kam, Daniel Barter, Xiaowei Xie, Tingzheng Hou, Shyam Dwaraknath, Samuel M Blau, Kristin Aslaug Persson

563

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Physical Chemistry

Working Paper

Improving machine learning performance on small chemical reaction data with unsupervised contrastive pretraining

Mingjian Wen, Samuel M. Blau, Xiaowei Xie, Shyam Dwaraknath, Kristin A. Persson

577

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Theoretical and Computational Chemistry

Working Paper

Quantum Chemical Calculations of Lithium-Ion Battery Electrolyte and Interphase Species

Evan Walter Clark Spotte-Smith, Samuel Blau, Xiaowei Xie, Hetal Patel, Mingjian Wen, Brandon Wood, Shyam Dwaraknath, Kristin Persson

940

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1

Citations

Materials Chemistry

Working Paper

Performance comparison of r2SCAN and SCAN metaGGA density functionals for solid materials via an automated, high-throughput computational workflow

Ryan Kingsbury, Ayush Gupta, Christopher Bartel, Jason Munro, Shyam Dwaraknath, Matthew Horton, Kristin Persson

1,190

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1

Citations

Theoretical and Computational Chemistry

Working Paper

Predictive stochastic analysis of massive filter-based electrochemical reaction networks

Daniel Barter, Evan Walter Clark Spotte-Smith, Nikita S. Redkar, Aniruddh Khanwale, Shyam Dwaraknath, Kristin A. Persson, Samuel M. Blau

1,000

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Materials Science

Working Paper

A flexible and scalable scheme for mixing computed formation energies from different levels of theory

Ryan Kingsbury, Andrew S. Rosen, Ayush S. Gupta, Jason Munro, Shyue Ping Ong, Anubhav Jain, Shyam Dwaraknath, Matthew K. Horton, Kristin A. Persson

399

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1

Citations

Organometallic Chemistry

Working Paper

A Chemically Consistent Graph Architecture for Massive Reaction Networks Applied to Solid-Electrolyte Interphase Formation

Samuel Blau, Hetal Patel, Evan Spotte-Smith, Xiaowei Xie, Shyam Dwaraknath, Kristin Persson

610

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10 results in Shyam Dwaraknath in Authors: Shyam Dwaraknath

Accurate, Automated Density Functional Theory for Complex Molecules Using On-the-fly Error Correction

BonDNet: A Graph Neural Network for the Prediction of Bond Dissociation Energies for Charged Molecules

A Framework for Quantifying Uncertainty in DFT Energy Corrections

Towards a Mechanistic Model of Solid-Electrolyte Interphase Formation and Evolution in Lithium-ion Batteries

Improving machine learning performance on small chemical reaction data with unsupervised contrastive pretraining

Quantum Chemical Calculations of Lithium-Ion Battery Electrolyte and Interphase Species

Performance comparison of r2SCAN and SCAN metaGGA density functionals for solid materials via an automated, high-throughput computational workflow

Predictive stochastic analysis of massive filter-based electrochemical reaction networks

A flexible and scalable scheme for mixing computed formation energies from different levels of theory

A Chemically Consistent Graph Architecture for Massive Reaction Networks Applied to Solid-Electrolyte Interphase Formation

10 results in Authors: Shyam Dwaraknath