DK
Dilip Krishnamurthy
cond-mat.mtrl-sciphysics.chem-phphysics.app-phcs.LGbatteriescs.AIeess.SPElectric Power Supplieselectrocatalyst designMXenes
On Valency
published · living versionsW_ne2hn3zb·v1 · currentpublished
Quantifying Confidence in DFT Predicted Surface Pourbaix Diagrams and Associated Reaction Pathways for Chlorine Evolution
with Vaidish Sumaria, Venkatasubramanian Viswanathan
1 version
W_m2c5ccss·v1published
Preprints & journals
13 papers in the corpus · 2017–2026Transforming Computational Lithography with AC and AI -- Faster, More Accurate, and Energy-efficient2602.15036v1 · Saumyadip Mukhopadhyay, Kiho Yang, Kasyap Thottasserymana Vasudevan et al.2026 · 0 citationsarXiv
Reversible Alkaline Hydrogen Evolution and Oxidation Reactions Using Ni–Mo Catalysts Supported on Carbon10.26434/chemrxiv-2022-dc2zn · Rituja Patil, Manjodh Kaur, Stephen House et al.2022 · 6 citationsChemRxiv
Validation and parameterization of a novel physics-constrained neural dynamics model applied to turbulent fluid flow2110.11528v1 · Varun Shankar, Gavin D. Portwood, Arvind T. Mohan et al.2021 · 9 citationsarXiv
Differentiable Physics: A Position Piece2109.07573v1 · Bharath Ramsundar, Dilip Krishnamurthy, Venkatasubramanian Viswanathan2021 · 12 citationsarXiv
Closed-Loop Design of Proton Donors for Lithium-Mediated Ammonia Synthesis with Interpretable Models and Molecular Machine Learning2008.08078v2 · Dilip Krishnamurthy, Nikifar Lazouski, Michal L. Gala et al.2020 · 1 citationarXiv
Engineering Three-Dimensional (3D) Out-of-Plane Graphene Edge Sites for Highly-Selective Two-Electron Oxygen Reduction Electrocatalysis1904.04946v3 · Daniel San Roman, Dilip Krishnamurthy, Raghav Garg et al.2019 · 168 citationsACS Catalysis (2020), 10, 1993-2008
Quantifying robustness of DFT predicted pathways and activity determining elementary steps for electrochemical reactions.30709276 · Krishnamurthy, Dilip, Sumaria, Vaidish, Viswanathan, Venkatasubramanian2019 · 23 citationsThe Journal of chemical physics. 2019;150(4):041717
Quantifying Confidence in DFT-Predicted Surface Pourbaix Diagrams of Transition-Metal Electrode-Electrolyte Interfaces.30240564 · Vinogradova, Olga, Krishnamurthy, Dilip, Pande, Vikram et al.2018 · 96 citationsLangmuir : the ACS journal of surfaces and colloids. 2018;34(41):12259-12269
Exploring MXenes as Cathodes for Non-Aqueous Lithium-Oxygen Batteries: Design Rules for Selectively Nucleating Li2 O2.29892991 · Lee, Andrew, Krishnamurthy, Dilip, Viswanathan, Venkatasubramanian2019 · 31 citationsChemSusChem. 2018;11(12):1911-1918
Quantifying Confidence in DFT Predicted Surface Pourbaix Diagrams and Associated Reaction Pathways for Chlorine Evolution1804.02766v1 · Vaidish Sumaria, Dilip Krishnamurthy, Venkatasubramanian Viswanathan2018 · 103 citationsACS Catal., 2018, 8, 9034-9042on Valency
Towards Synergistic Electrode-Electrolyte Design Principles for Nonaqueous Li-O[Formula: see text] batteries.29557503 · Khetan, Abhishek, Krishnamurthy, Dilip, Viswanathan, Venkatasubramanian2019 · 6 citationsTopics in current chemistry (Cham). 2018;376(2):11
Maximal Predictability Approach for Identifying the Right Descriptors for Electrocatalytic Reactions.29316792 · Krishnamurthy, Dilip, Sumaria, Vaidish, Viswanathan, Venkatasubramanian2018 · 61 citationsThe journal of physical chemistry letters. 2018;9(3):588-595
Surface Restructuring of Nickel Sulfide Generates Optimally-Coordinated Active Sites for ORR Catalysis1706.04090v1 · Bing Yan, Dilip Krishnamurthy, Christopher H. Hendon et al.2017 · 136 citationsJoule, (2017) 1, 600-612on Valency
Career total: 25 works. 13 are in this corpus.
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