Venkatasubramanian Viswanathan
- Anomalous interfacial electron transfer kinetics in twisted trilayer graphene caused by layer-specific localization
2023/03/16 by Kaidi Zhang, Zhang, Kaidi, Yun Yu +21 · 3 citations
Chemistry · Energy · Engineering · #Electrocatalysts for Energy Conversion #Electrochemical Analysis and Applications #FOS: Physical sciences #Mesoscale and Nanoscale Physics (cond-mat.mes-hall) #Molecular Junctions and Nanostructures
- Score-Based Generative Models for Molecule Generation
2022/03/07 by Dwaraknath Gnaneshwar, Bharath Ramsundar, Gnaneshwar, Dwaraknath +7 · 2 citations
Biochemistry, Genetics and Molecular Biology · Decision Sciences · Materials Science · #Cell Image Analysis Techniques #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Quantitative Methods (q-bio.QM) #Scientific Computing and Data Management
- AutoMat: Accelerated Computational Electrochemical systems Discovery
2020/11/03 by Emil Annevelink, Rachel C. Kurchin, Annevelink, Emil +37 · 2 citations
Energy · Engineering · Materials Science · #Electrocatalysts for Energy Conversion #FOS: Computer and information sciences #FOS: Physical sciences #Fuel Cells and Related Materials #Machine Learning (cs.LG) #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci)
- Universal Battery Performance and Degradation Model for Electric Aircraft
2020/07/06 by Alexander Bills, Bills, Alexander, Shashank Sripad +11 · 1 citation
Engineering · #Advanced Battery Technologies Research #Applied Physics (physics.app-ph) #Electric Vehicles and Infrastructure #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Vehicle emissions and performance
- Differentiable Physics: A Position Piece
2021/09/14 by Bharath Ramsundar, Ramsundar, Bharath, Dilip Krishnamurthy +3 · 1 citation
Biochemistry, Genetics and Molecular Biology · Physics and Astronomy · #Advanced Thermodynamics and Statistical Mechanics #Chemical Physics (physics.chem-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Protein Structure and Dynamics
- Principles of the Battery Data Genome
2021/09/14 by Logan Ward, Susan Babinec, Ward, Logan +51 · 1 citation
Engineering · #Advanced Battery Technologies Research #Applied Physics (physics.app-ph) #FOS: Physical sciences #Green IT and Sustainability #Physics and Society (physics.soc-ph)
- Accurate Surface and Finite Temperature Bulk Properties of Lithium Metal at Large Scales using Machine Learning Interaction Potentials
2023/04/24 by Mgcini Keith Phuthi, Archie Mingze Yao, Phuthi, Mgcini Keith +11 · 2 citations
Engineering · Materials Science · #Advanced Battery Materials and Technologies #Advancements in Battery Materials #Chemical Physics (physics.chem-ph) #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci)
- Differentiable physics-enabled closure modeling for Burgers' turbulence
2022/09/23 by Varun Shankar, Vedant Puri, Shankar, Varun +7 · 1 citation
Physics and Astronomy · Engineering · Earth and Planetary Sciences · #Model Reduction and Neural Networks #Fluid Dynamics and Turbulent Flows #Meteorological Phenomena and Simulations
- Cell-Level State of Charge Estimation for Battery Packs Under Minimal Sensing
2021/09/17 by Dong Zhang, Luis D. Couto, Zhang, Dong +7 · 1 citation
Engineering · #Advanced Battery Technologies Research #Advanced DC-DC Converters #FOS: Electrical engineering #Systems and Control (eess.SY) #Wireless Power Transfer Systems #electronic engineering #information engineering
- Importance of equivariant and invariant symmetries for fluid flow modeling
2023/05/03 by Varun Shankar, Shivam Barwey, Shankar, Varun +7 · 1 citation
Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Model Reduction and Neural Networks
- Statistical methods for resolving poor uncertainty quantification in machine learning interatomic potentials
2023/08/29 by Emil Annevelink, Venkatasubramanian Viswanathan, Annevelink, Emil +1 · 1 citation
Biochemistry, Genetics and Molecular Biology · Chemistry · Materials Science · #FOS: Physical sciences #Machine Learning in Materials Science #Mass Spectrometry Techniques and Applications #Materials Science (cond-mat.mtrl-sci) #Protein Structure and Dynamics
- Differentiable Modeling and Optimization of Battery Electrolyte Mixtures Using Geometric Deep Learning
2023/10/03 by Shang Zhu, Bharath Ramsundar, Zhu, Shang +13 · 1 citation
Materials Science · Engineering · #Machine Learning in Materials Science #Fuel Cells and Related Materials #Advanced Battery Technologies Research
- Vulnerabilities of Electric Vehicle Battery Packs to Cyberattacks
2017/11/01 by Shashank Sripad, Sekar Kulandaivel, Sripad, Shashank +7 · 1 voice
Computer Science · Engineering · #Advanced Battery Technologies Research #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Radiation Effects in Electronics #cs.CR
- Universal Chemomechanical Design Rules for Solid-Ion Conductors to Prevent Dendrite Formation in Lithium Metal Batteries
2019/01/15 by Chengyin Fu, Victor Venturi, Zeeshan Ahmad +3 · 1 voice
Physics and Astronomy · #cond-mat.mtrl-sci