Venkatasubramanian Viswanathan

47 papers A 2C 1Misc 1Journal 38Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ElyteOS: Software for automated electrolyte preparation, measurement, and data management. SoftwareX Yuhan Chen, Hongyi Lin, Tianyi Zhang, Adarsh Dave, Jared Mitchell, Jay Whitacre, Venkatasubramanian Viswanathan
2026	J	`jnl`	Tokenization for Molecular Foundation Models. J. Chem. Inf. Model. Alexius Wadell, Anoushka Bhutani, Venkatasubramanian Viswanathan
2025	J	`jnl`	CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning. CoRR Changwen Xu, Shang Zhu, Venkatasubramanian Viswanathan
2025	J	`jnl`	DREAMS: Density Functional Theory Based Research Engine for Agentic Materials Simulation. CoRR Ziqi Wang, Hongshuo Huang, Hancheng Zhao, Changwen Xu, Shang Zhu, Jan Janssen, Venkatasubramanian Viswanathan
2025	J	`jnl`	Foundation Models for Discovery and Exploration in Chemical Space. CoRR Alexius Wadell, Anoushka Bhutani, Victor Azumah, Austin R. Ellis-Mohr, Celia Kelly, Hancheng Zhao, Anuj K. Nayak, Kareem Hegazy, Alexander Brace, Hongyi Lin, Murali Emani, Venkatram Vishwanath, Kevin Gering, Melisa Alkan, Tom Gibbs, Jack C. Wells, Lav R. Varshney, Bharath Ramsundar, Karthik Duraisamy, Michael W. Mahoney, Arvind Ramanathan, Venkatasubramanian Viswanathan
2025	J	`jnl`	Learning second-order TVD flux limiters using differentiable solvers. CoRR Chenyang Huang, Amal S. Sebastian, Venkatasubramanian Viswanathan
2025	J	`jnl`	State estimation of solid-state batteries via a distributed parameter electrochemical model. Autom. Dong Zhang, Shuxia Tang, Luis D. Couto, Zhongbao Wei, Venkatasubramanian Viswanathan
2024	J	`jnl`	ASIMTools: A lightweight framework for scalable and reproducible atomic simulations. J. Open Source Softw. Mgcini Keith Phuthi, Emil Annevelink, Venkatasubramanian Viswanathan
2024	J	`jnl`	Self-supervised Pretraining for Partial Differential Equations. CoRR Varun Madhavan, Amal S. Sebastian, Bharath Ramsundar, Venkatasubramanian Viswanathan
2024	J	`jnl`	Smirk: An Atomically Complete Tokenizer for Molecular Foundation Models. CoRR Alexius Wadell, Anoushka Bhutani, Venkatasubramanian Viswanathan
2023	J	`jnl`	Accurate Surface and Finite Temperature Bulk Properties of Lithium Metal at Large Scales using Machine Learning Interaction Potentials. CoRR Mgcini Keith Phuthi, Archie Mingze Yao, Simon L. Batzner, Albert Musaelian, Boris Kozinsky, Ekin Dogus Cubuk, Venkatasubramanian Viswanathan
2023	J	`jnl`	Chemellia: An Ecosystem for Atomistic Scientific Machine Learning. CoRR Anant Thazhemadam, Dhairya Gandhi, Venkatasubramanian Viswanathan, Rachel C. Kurchin
2023	J	`jnl`	Differentiable Chemical Physics by Geometric Deep Learning for Gradient-based Property Optimization of Mixtures. CoRR Shang Zhu, Bharath Ramsundar, Emil Annevelink, Hongyi Lin, Adarsh Dave, Pin-Wen Guan, Kevin Gering, Venkatasubramanian Viswanathan
2023	J	`jnl`	Differentiable Turbulence II. CoRR Varun Shankar, Romit Maulik, Venkatasubramanian Viswanathan
2023	J	`jnl`	Differentiable Turbulence. CoRR Varun Shankar, Romit Maulik, Venkatasubramanian Viswanathan
2023	J	`jnl`	Differentiable physics-enabled closure modeling for Burgers' turbulence. Mach. Learn. Sci. Technol. Varun Shankar, Vedant Puri, Ramesh Balakrishnan, Romit Maulik, Venkatasubramanian Viswanathan
2023	J	`jnl`	Importance of equivariant and invariant symmetries for fluid flow modeling. CoRR Varun Shankar, Shivam Barwey, Zico Kolter, Romit Maulik, Venkatasubramanian Viswanathan
2023	J	`jnl`	Multiscale Graph Neural Network Autoencoders for Interpretable Scientific Machine Learning. CoRR Shivam Barwey, Varun Shankar, Venkatasubramanian Viswanathan, Romit Maulik
2023	J	`jnl`	Multiscale graph neural network autoencoders for interpretable scientific machine learning. J. Comput. Phys. Shivam Barwey, Varun Shankar, Venkatasubramanian Viswanathan, Romit Maulik
2022	C	`conf`	A Model Predictive Control Scheme for Fast Charging via Accurate Quadratic Battery Models. ACC Alexander Bills, Mauro Salazar, Dong Zhang, Venkatasubramanian Viswanathan
2022	J	`jnl`	Differentiable physics-enabled closure modeling for Burgers' turbulence. CoRR Varun Shankar, Vedant Puri, Ramesh Balakrishnan, Romit Maulik, Venkatasubramanian Viswanathan
2022	J	`jnl`	Score-Based Generative Models for Molecule Generation. CoRR Dwaraknath Gnaneshwar, Bharath Ramsundar, Dhairya Gandhi, Rachel C. Kurchin, Venkatasubramanian Viswanathan
2022	J	`jnl`	Super-linear Scaling Behavior for Electric Vehicle Chargers and Road Map to Addressing the Infrastructure Gap. CoRR Alexius Wadell, Matthew Guttenberg, Christopher P. Kempes, Venkatasubramanian Viswanathan
2021	J	`jnl`	Autonomous optimization of nonaqueous battery electrolytes via robotic experimentation and machine learning. CoRR Adarsh Dave, Jared Mitchell, Sven Burke, Hongyi Lin, Jay Whitacre, Venkatasubramanian Viswanathan
2021	J	`jnl`	Cell-Level State of Charge Estimation for Battery Packs Under Minimal Sensing. CoRR Dong Zhang, Luis D. Couto, Ross Drummond, Shashank Sripad, Venkatasubramanian Viswanathan
2021	J	`jnl`	Differentiable Physics: A Position Piece. CoRR Bharath Ramsundar, Dilip Krishnamurthy, Venkatasubramanian Viswanathan
2021	—	`conf`	PDE Observer for All-Solid-State Batteries via an Electrochemical Model. CCTA Dong Zhang, Shu-Xia Tang, Luis D. Couto, Venkatasubramanian Viswanathan
2021	J	`jnl`	The promise of energy-efficient battery-powered urban aircraft. CoRR Shashank Sripad, Venkatasubramanian Viswanathan
2020	J	`jnl`	ACED: Accelerated Computational Electrochemical systems Discovery. CoRR Rachel C. Kurchin, Eric Muckley, Lance Kavalsky, Vinay I. Hegde, Dhairya Gandhi, Xiaoyu Sun, Matthew Johnson, Alan Edelman, James E. Saal, Christopher Vincent Rackauckas, Bryce Meredig, Viral B. Shah, Venkatasubramanian Viswanathan
2020	J	`jnl`	Autonomous discovery of battery electrolytes with robotic experimentation and machine-learning. CoRR Adarsh Dave, Jared Mitchell, Kirthevasan Kandasamy, Sven Burke, Biswajit Paria, Barnabás Póczos, Jay Whitacre, Venkatasubramanian Viswanathan
2020	J	`jnl`	Closed-Loop Design of Proton Donors for Lithium-Mediated Ammonia Synthesis with Interpretable Models and Molecular Machine Learning. CoRR Dilip Krishnamurthy, Nikifar Lazouski, Michal L. Gala, Karthish Manthiram, Venkatasubramanian Viswanathan
2020	J	`jnl`	Machine Learning Enabled Discovery of Application Dependent Design Principles for Two-dimensional Materials. CoRR Victor Venturi, Holden Parks, Zeeshan Ahmad, Venkatasubramanian Viswanathan
2020	J	`jnl`	Machine learning enabled discovery of application dependent design principles for two-dimensional materials. Mach. Learn. Sci. Technol. Victor Venturi, Holden Parks, Zeeshan Ahmad, Venkatasubramanian Viswanathan
2020	J	`jnl`	Universal Battery Performance and Degradation Model for Electric Aircraft. CoRR Alexander Bills, Shashank Sripad, William L. Fredericks, Matthew Guttenberg, Devin Charles, Evan Frank, Venkatasubramanian Viswanathan
2019	J	`jnl`	Automation is no barrier to light vehicle electrification. CoRR Aniruddh Mohan, Shashank Sripad, Parth Vaishnav, Venkatasubramanian Viswanathan
2018	J	`jnl`	FPGA-Centric Design Process for Avionic Simulation and Test. IEEE Trans. Aerosp. Electron. Syst. Rabie Ben Atitallah, Venkatasubramanian Viswanathan, Nicolas Bélanger, Jean-Luc Dekeyser
2018	J	`jnl`	Machine Learning Enabled Computational Screening of Inorganic Solid Electrolytes for Dendrite Suppression with Li Metal Anode. CoRR Zeeshan Ahmad, Tian Xie, Chinmay Maheshwari, Jeffrey C. Grossman, Venkatasubramanian Viswanathan
2018	J	`jnl`	Quantifying the Economic Case for Electric Semi-Trucks. CoRR Shashank Sripad, Venkatasubramanian Viswanathan
2017	J	`jnl`	Vulnerabilities of Electric Vehicle Battery Packs to Cyberattacks on Auxiliary Components. CoRR Shashank Sripad, Sekar Kulandaivel, Vikram Pande, Vyas Sekar, Venkatasubramanian Viswanathan
2015	A	`conf`	A Parallel And Scalable Multi-FPGA based Architecture for High Performance Applications (Abstract Only). FPGA Venkatasubramanian Viswanathan, Rabie Ben Atitallah, Jean-Luc Dekeyser, Benjamin Nakache, Maurice Nakache
2015	—	`—`	A scalable flexible and dynamic reconfigurable architecture for high performance embedded computing. (Une architecture évolutive flexible et reconfigurable dynamiquement pour les systèmes embarqués haute performance). Venkatasubramanian Viswanathan
2015	Misc	`conf`	Massively Parallel Dynamically Reconfigurable Multi-FPGA Computing System. FCCM Venkatasubramanian Viswanathan, Rabie Ben Atitallah, Jean-Luc Dekeyser
2014	—	`conf`	Communication-centric design for FMC based I/O system. ReCoSoC Mokhtar Bouain, Venkatasubramanian Viswanathan, Rabie Ben Atitallah, Jean-Luc Dekeyser
2014	A	`conf`	Redefining the role of FPGAs in the next generation avionic systems (abstract only). FPGA Venkatasubramanian Viswanathan, Rabie Ben Atitallah, Jean-Luc Dekeyser, Benjamin Nakache, Maurice Nakache
2012	—	`conf`	Dynamic reconfiguration of modular I/O IP cores for avionic applications. ReConFig Venkatasubramanian Viswanathan, Benjamin Nakache, Rabie Ben Atitallah, Maurice Nakache, Jean-Luc Dekeyser
2012	J	`jnl`	Monte Carlo-Based Approach for Simulating Nanostructured Catalytic and Electrocatalytic Systems. Comput. Sci. Eng. Venkatasubramanian Viswanathan, Frank Wang, Heinz Pitsch
2011	—	`conf`	Reconfigurable acceleration and dynamic partial self-reconfiguration in general purpose computing. FPT Ioannis Sourdis, Abhijit Nandy, Venkatasubramanian Viswanathan, Anthony Brandon, Dimitris Theodoropoulos, Georgi Gaydadjiev