Venkatasubramanian Viswanathan

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 32

Top Topics

Application Dependent

Machine Learning

Partial Differential Equations

Ambrosio Tortorelli

Top Venues

Mach. Learn. Sci. Technol.

Publications

Varun Madhavan, Amal S. Sebastian, Bharath Ramsundar, Venkatasubramanian Viswanathan
Self-supervised Pretraining for Partial Differential Equations. CoRR (2024)
Shang Zhu, Bharath Ramsundar, Emil Annevelink, Hongyi Lin, Adarsh Dave, Pin-Wen Guan, Kevin Gering, Venkatasubramanian Viswanathan
Differentiable Chemical Physics by Geometric Deep Learning for Gradient-based Property Optimization of Mixtures. CoRR (2023)
Anant Thazhemadam, Dhairya Gandhi, Venkatasubramanian Viswanathan, Rachel C. Kurchin
Chemellia: An Ecosystem for Atomistic Scientific Machine Learning. CoRR (2023)
Varun Shankar, Romit Maulik, Venkatasubramanian Viswanathan
Differentiable Turbulence. CoRR (2023)
Varun Shankar, Vedant Puri, Ramesh Balakrishnan, Romit Maulik, Venkatasubramanian Viswanathan
Differentiable physics-enabled closure modeling for Burgers' turbulence. Mach. Learn. Sci. Technol. 4 (1) (2023)
Shivam Barwey, Varun Shankar, Venkatasubramanian Viswanathan, Romit Maulik
Multiscale Graph Neural Network Autoencoders for Interpretable Scientific Machine Learning. CoRR (2023)
Shivam Barwey, Varun Shankar, Venkatasubramanian Viswanathan, Romit Maulik
Multiscale graph neural network autoencoders for interpretable scientific machine learning. J. Comput. Phys. 495 (2023)
Mgcini Keith Phuthi, Archie Mingze Yao, Simon L. Batzner, Albert Musaelian, Boris Kozinsky, Ekin Dogus Cubuk, Venkatasubramanian Viswanathan
Accurate Surface and Finite Temperature Bulk Properties of Lithium Metal at Large Scales using Machine Learning Interaction Potentials. CoRR (2023)
Varun Shankar, Shivam Barwey, Zico Kolter, Romit Maulik, Venkatasubramanian Viswanathan
Importance of equivariant and invariant symmetries for fluid flow modeling. CoRR (2023)
Varun Shankar, Romit Maulik, Venkatasubramanian Viswanathan
Differentiable Turbulence II. CoRR (2023)
Dwaraknath Gnaneshwar, Bharath Ramsundar, Dhairya Gandhi, Rachel C. Kurchin, Venkatasubramanian Viswanathan
Score-Based Generative Models for Molecule Generation. CoRR (2022)
Alexander Bills, Mauro Salazar, Dong Zhang, Venkatasubramanian Viswanathan
A Model Predictive Control Scheme for Fast Charging via Accurate Quadratic Battery Models. ACC (2022)
Varun Shankar, Vedant Puri, Ramesh Balakrishnan, Romit Maulik, Venkatasubramanian Viswanathan
Differentiable physics-enabled closure modeling for Burgers' turbulence. CoRR (2022)
Alexius Wadell, Matthew Guttenberg, Christopher P. Kempes, Venkatasubramanian Viswanathan
Super-linear Scaling Behavior for Electric Vehicle Chargers and Road Map to Addressing the Infrastructure Gap. CoRR (2022)
Adarsh Dave, Jared Mitchell, Sven Burke, Hongyi Lin, Jay Whitacre, Venkatasubramanian Viswanathan
Autonomous optimization of nonaqueous battery electrolytes via robotic experimentation and machine learning. CoRR (2021)
Dong Zhang, Shu-Xia Tang, Luis D. Couto, Venkatasubramanian Viswanathan
PDE Observer for All-Solid-State Batteries via an Electrochemical Model. CCTA (2021)
Dong Zhang, Luis D. Couto, Ross Drummond, Shashank Sripad, Venkatasubramanian Viswanathan
Cell-Level State of Charge Estimation for Battery Packs Under Minimal Sensing. CoRR (2021)
Shashank Sripad, Venkatasubramanian Viswanathan
The promise of energy-efficient battery-powered urban aircraft. CoRR (2021)
Bharath Ramsundar, Dilip Krishnamurthy, Venkatasubramanian Viswanathan
Differentiable Physics: A Position Piece. CoRR (2021)
Victor Venturi, Holden Parks, Zeeshan Ahmad, Venkatasubramanian Viswanathan
Machine learning enabled discovery of application dependent design principles for two-dimensional materials. Mach. Learn. Sci. Technol. 1 (3) (2020)
Adarsh Dave, Jared Mitchell, Kirthevasan Kandasamy, Sven Burke, Biswajit Paria, Barnabás Póczos, Jay Whitacre, Venkatasubramanian Viswanathan
Autonomous discovery of battery electrolytes with robotic experimentation and machine-learning. CoRR (2020)
Dilip Krishnamurthy, Nikifar Lazouski, Michal L. Gala, Karthish Manthiram, Venkatasubramanian Viswanathan
Closed-Loop Design of Proton Donors for Lithium-Mediated Ammonia Synthesis with Interpretable Models and Molecular Machine Learning. CoRR (2020)
Victor Venturi, Holden Parks, Zeeshan Ahmad, Venkatasubramanian Viswanathan
Machine Learning Enabled Discovery of Application Dependent Design Principles for Two-dimensional Materials. CoRR (2020)
Rachel C. Kurchin, Eric Muckley, Lance Kavalsky, Vinay Hegde, Dhairya Gandhi, Xiaoyu Sun, Matthew Johnson, Alan Edelman, James Saal, Christopher Vincent Rackauckas, Bryce Meredig, Viral B. Shah, Venkatasubramanian Viswanathan
ACED: Accelerated Computational Electrochemical systems Discovery. CoRR (2020)
Alexander Bills, Shashank Sripad, William L. Fredericks, Matthew Guttenberg, Devin Charles, Evan Frank, Venkatasubramanian Viswanathan
Universal Battery Performance and Degradation Model for Electric Aircraft. CoRR (2020)
Aniruddh Mohan, Shashank Sripad, Parth Vaishnav, Venkatasubramanian Viswanathan
Automation is no barrier to light vehicle electrification. CoRR (2019)
Rabie Ben Atitallah, Venkatasubramanian Viswanathan, Nicolas Bélanger, Jean-Luc Dekeyser
FPGA-Centric Design Process for Avionic Simulation and Test. IEEE Trans. Aerosp. Electron. Syst. 54 (3) (2018)
Zeeshan Ahmad, Tian Xie, Chinmay Maheshwari, Jeffrey C. Grossman, Venkatasubramanian Viswanathan
Machine Learning Enabled Computational Screening of Inorganic Solid Electrolytes for Dendrite Suppression with Li Metal Anode. CoRR (2018)
Shashank Sripad, Venkatasubramanian Viswanathan
Quantifying the Economic Case for Electric Semi-Trucks. CoRR (2018)
Shashank Sripad, Sekar Kulandaivel, Vikram Pande, Vyas Sekar, Venkatasubramanian Viswanathan
Vulnerabilities of Electric Vehicle Battery Packs to Cyberattacks on Auxiliary Components. CoRR (2017)
Venkatasubramanian Viswanathan, Rabie Ben Atitallah, Jean-Luc Dekeyser, Benjamin Nakache, Maurice Nakache
A Parallel And Scalable Multi-FPGA based Architecture for High Performance Applications (Abstract Only). FPGA (2015)
Venkatasubramanian Viswanathan, Rabie Ben Atitallah, Jean-Luc Dekeyser
Massively Parallel Dynamically Reconfigurable Multi-FPGA Computing System. FCCM (2015)
Venkatasubramanian Viswanathan, Rabie Ben Atitallah, Jean-Luc Dekeyser, Benjamin Nakache, Maurice Nakache
Redefining the role of FPGAs in the next generation avionic systems (abstract only). FPGA (2014)
Mokhtar Bouain, Venkatasubramanian Viswanathan, Rabie Ben Atitallah, Jean-Luc Dekeyser
Communication-centric design for FMC based I/O system. ReCoSoC (2014)
Venkatasubramanian Viswanathan, Frank Wang, Heinz Pitsch
Monte Carlo-Based Approach for Simulating Nanostructured Catalytic and Electrocatalytic Systems. Comput. Sci. Eng. 14 (2) (2012)
Venkatasubramanian Viswanathan, Benjamin Nakache, Rabie Ben Atitallah, Maurice Nakache, Jean-Luc Dekeyser
Dynamic reconfiguration of modular I/O IP cores for avionic applications. ReConFig (2012)
Ioannis Sourdis, Abhijit Nandy, Venkatasubramanian Viswanathan, Anthony Brandon, Dimitris Theodoropoulos, Georgi Gaydadjiev
Reconfigurable acceleration and dynamic partial self-reconfiguration in general purpose computing. FPT (2011)