David E. Sommer

most citedMachine Learning, Density Functional Theory, and Experiments to Understand the Photocatalytic Reduction of CO

_{2}

by CuPt/TiO

_{2}

3 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

cond-mat.mtrl-sci2024★ 3 cited

Machine Learning, Density Functional Theory, and Experiments to Understand the Photocatalytic Reduction of CO $_{2}$ by CuPt/TiO $_{2}$

Vaidish Sumaria, Takat B. Rawal, Young Feng Li +6

The photoconversion of CO $_{2}$ to hydrocarbons is a sustainable route to its transformation into value-added compounds and, thereby, crucial to mitigating the energy and climate cri…

cond-mat.mtrl-sci2022

Entangling Solid Solutions: Machine Learning of Tensor Networks for Materials Property Prediction

David E. Sommer, Scott T. Dunham

Progress in the application of machine learning techniques to the prediction of solid-state and molecular materials properties has been greatly facilitated by the development state…

Machine Learning, Density Functional Theory, and Experiments to Understand the Photocatalytic Reduction of CO2​ by CuPt/TiO2​

Entangling Solid Solutions: Machine Learning of Tensor Networks for Materials Property Prediction

Machine Learning, Density Functional Theory, and Experiments to Understand the Photocatalytic Reduction of CO $_{2}$ by CuPt/TiO $_{2}$