Bryan R. Goldsmith

University of Michigan–Ann Arbor — United States

Energy · Physical Sciences

28h-index5.8kcitations101works4.22yr avg
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Research Topics

Electrocatalysts for Energy Conversion(26), Catalytic Processes in Materials Science(17), Advanced battery technologies research(17), Electrochemical Analysis and Applications(16), Machine Learning in Materials Science(16)

Publications101 total

MIDAS: rapid, multiplexed molecular profiling for integrated host–pathogen analysis
Nature Communications·2025Open Access
Multilayer Formation, Interfacial Binding, and Stability of Self-Assembled Molecules in Perovskite Solar Cells
Journal of the American Chemical Society·2025· 1 cited
Predictive model for the discovery of sinter-resistant supports for metallic nanoparticle catalysts by interpretable machine learning
Nature Catalysis·2025· 10 cited
Author response for "Predicting aqueous and organic solubilities with machine learning: a workflow for identifying organic cosolvents"
2025
Author response for "Predicting aqueous and organic solubilities with machine learning: a workflow for identifying organic cosolvents"
2025
Author response for "Predicting Competitive Anion Electrosorption on Late Transition Metals"
2025
Distinctive Kinetic Signatures of Surface Segregation Processes in Bimetallic Nanoparticle Catalysis
Journal of the American Chemical Society·2025· 3 cited
Effect of Ions on the Aqueous-Phase Adsorption of Small Aromatic Organics on Silver
The Journal of Physical Chemistry C·2025
<i>(Invited) </i>Understanding Electrocatalysts for the Reduction of Nitrate to Value-Added Products
ECS Meeting Abstracts·2025
Bayesian Optimization-Guided Design of Silica-Supported Nickel Catalysts from Nickel Phyllosilicates
ACS Engineering Au·2025· 4 citedOpen Access
Enhancing the electrochemical detection of chloride using a machine learning approach
Sensors and Actuators B Chemical·2025· 2 citedOpen Access
A grand canonical study of the potential dependence of nitrate adsorption and dissociation across metals and dilute alloys
Communications Chemistry·2025· 5 citedOpen Access
Sulfonated Benzo[c]cinnolines for Alkaline Redox-Flow Batteries
ACS Applied Energy Materials·2025· 2 cited
Sulfonated Benzo[c]cinnolines for Alkaline Redox-Flow Batteries
2025Open Access
Predicting Competitive Anion Electrosorption on Late Transition Metals
2025· 1 citedOpen Access
Predicting Competitive Anion Electrosorption on Late Transition Metals
2025Open Access
Atomistic Modeling of the Active Site Formation Mechanism and Olefin Metathesis Kinetics for WO<sub><i>x</i></sub>/SiO<sub>2</sub>
The Journal of Physical Chemistry C·2025· 3 cited
Predicting aqueous and organic solubilities with machine learning: a workflow for identifying organic co-solvents
2025· 1 citedOpen Access
Potential Dependence of Nitrate Adsorption and Dissociation across Metals and Dilute Alloys: a Grand Canonical Study
2025Open Access
Identifying organic co-solvents via machine learning solubility predictions in organic solvents and water
2025· 2 citedOpen Access
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Frequent Co-authors

Nirala Singh(15), Jacques A. Esterhuizen(5), Suljo Linic(5), Susannah L. Scott(5), Baron Peters(5), Samuel D. Young(5), Jin‐Xun Liu(4), Francis Doherty(4), Harsh Agarwal(4), Jacob Florian(4), Ghanshyam Pilania(4), Christopher J. Bartel(3), Christopher Sutton(3), James Akinola(3), Isaiah Barth(3), Runhai Ouyang(2), Charles B. Musgrave(2), Luca M. Ghiringhelli(2), Matthias Scheffler(2), Danielle Richards(2)