David J Yaron (David Yaron)

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 7

Top Topics

Molecular Docking

Convolutional Neural Network

Machine Learning

Polycyclic Aromatic Hydrocarbons

Top Venues

Environmental science & technology

Journal of chemical theory and computation

Nature materials

Journal of the American Chemical Society

Carnegie Mellon University

Harvard University (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Carnegie Mellon University

United States

Professor of Chemistry :: Chemistry

Carnegie Mellon University

United States

Associate Professor of Chemistry with indefinite tenure :: Chemistry

Carnegie Mellon University

United States

Associate Professor of Chemistry :: Chemistry

Carnegie Mellon University

United States

Assistant Professor of Chemistry :: Chemistry

Massachusetts Institute of Technology

United States

Postdoctoral researcher :: Chemistry

Education History

Harvard University

United States

PHD :: Chemsitry

Wilkes University

United States

BSC

Publications

Xiang-Fei Sun, Yan Xu, Mitchell J Small, David J Yaron, Eddy Y Zeng
Modeled Pathways and Fluxes of PCB Dechlorination by Redox Potentials. Environmental science & technology 58 (12) (2024)
Xiang-Fei Sun, Yan Xu, Mitchell J Small, David J Yaron, Eddy Y Zeng
Modeled Pathways and Fluxes of PCB Dechlorination by Redox Potentials. Environmental science & technology 58 (12) (2024)
Xiang-Fei Sun, Yan Xu, Mitchell J Small, David J Yaron, Eddy Y Zeng
Modeled Pathways and Fluxes of PCB Dechlorination by Redox Potentials. Environmental science & technology (2024)
Frank Hu, Francis He, David J Yaron
Treating Semiempirical Hamiltonians as Flexible Machine Learning Models Yields Accurate and Interpretable Results. Journal of chemical theory and computation (2023)
David J Yaron, Tomasz Kowalewski
Beware the nanovoids. Nature materials 18 (11) (2020)
Anthony J Varni, Andria Fortney, Matthew A Baker, Joshua C Worch, Yunyan Qiu, David J Yaron, Stefan Bernhard, Kevin J T Noonan, Tomasz Kowalewski
Photostable Helical Polyfurans. Journal of the American Chemical Society 141 (22) (2019)
Haichen Li, Christopher Collins, Matteus Tanha, Geoffrey J Gordon, David J Yaron
A Density Functional Tight Binding Layer for Deep Learning of Chemical Hamiltonians. Journal of chemical theory and computation 14 (11) (2018)