Vaidish Sumaria - Concepedia

Author

Vaidish Sumaria

University of California, Los Angeles ORCID

Also Known As

Sumaria, Vaidish, Vaidish Pravin Sumaria, Vaidish Sumaria

Publications

374

Citations

H-Index

Concepts

All Affiliations

University of California, Los Angeles Carnegie Mellon University University of Kansas

About

Vaidish Sumaria is an author at University of California, Los Angeles specializing in chemistry, materials science, and engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	4	4	201
2	Chemistry	4	4	201
3	Natural Sciences	2	2	115
4	Applied Physics	2	2	53
5	Chemical Engineering	2	2	115

Vaidish Sumaria

Publications

364

Citations

H-Index

Page 1

	Year	Citations
Quantifying Confidence in DFT Predicted Surface Pourbaix Diagrams and Associated Reaction Pathways for Chlorine Evolution Vaidish Sumaria, Dilip Krishnamurthy, Venkatasubramanian Viswanathan ACS Catalysis EngineeringChemical AnalysisActive SitesMolecular BiologyComputational Chemistry	2018	99
Maximal Predictability Approach for Identifying the Right Descriptors for Electrocatalytic Reactions Dilip Krishnamurthy, Vaidish Sumaria, Venkatasubramanian Viswanathan The Journal of Physical Chemistry Letters	2018	58
Structure Sensitivity and Catalyst Restructuring for CO2 Electro-reduction on Copper Dongfang Cheng, Khanh‐Ly C. Nguyen, Vaidish Sumaria, Nature Communications	2025	55
Atomic-Scale Mechanism of Platinum Catalyst Restructuring under a Pressure of Reactant Gas Vaidish Sumaria, Luan Nguyen, Franklin Tao, Journal of the American Chemical Society Materials ScienceMolecular DynamicsEngineeringPt CatalystsReactant Gas	2022	49
Optimal Packing of CO at a High Coverage on Pt(100) and Pt(111) Surfaces Vaidish Sumaria, Luan Nguyen, Franklin Tao, ACS Catalysis EngineeringChemistryMolecular DynamicsHigh PressureHexagonal Pt	2020	37
CO organization at ambient pressure on stepped Pt surfaces: first principles modeling accelerated by neural networks Vaidish Sumaria, Philippe Sautet Chemical Science	2021	29
Quantifying robustness of DFT predicted pathways and activity determining elementary steps for electrochemical reactions Dilip Krishnamurthy, Vaidish Sumaria, Venkatasubramanian Viswanathan The Journal of Chemical Physics	2018	21
Machine Learning, Density Functional Theory, and Experiments to Understand the Photocatalytic Reduction of CO<sub>2</sub> on CuPt/TiO<sub>2</sub> Vaidish Sumaria, Takat B. Rawal, Young Feng Li, The Journal of Physical Chemistry C Co2 ActivationEngineeringMachine LearningInorganic PhotochemistryInterface Design	2024	16

Page 1