Venkatasubramanian Viswanathan

According to our database, Venkatasubramanian Viswanathan authored at least 37 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

ASIMTools: A lightweight framework for scalable and reproducible atomic simulations.

Mgcini Keith Phuthi, Emil Annevelink, Venkatasubramanian Viswanathan

J. Open Source Softw., 2024

Smirk: An Atomically Complete Tokenizer for Molecular Foundation Models.

Alexius Wadell, Anoushka Bhutani, Venkatasubramanian Viswanathan

CoRR, 2024

Self-supervised Pretraining for Partial Differential Equations.

Varun Madhavan, Amal S. Sebastian, Bharath Ramsundar, Venkatasubramanian Viswanathan

CoRR, 2024

2023

Multiscale graph neural network autoencoders for interpretable scientific machine learning.

Shivam Barwey, Varun Shankar, Venkatasubramanian Viswanathan, Romit Maulik

J. Comput. Phys., December, 2023

Differentiable physics-enabled closure modeling for Burgers' turbulence.

Varun Shankar, Vedant Puri, Ramesh Balakrishnan, Romit Maulik, Venkatasubramanian Viswanathan

Mach. Learn. Sci. Technol., March, 2023

Differentiable Chemical Physics by Geometric Deep Learning for Gradient-based Property Optimization of Mixtures.

Shang Zhu, Bharath Ramsundar, Emil Annevelink, Hongyi Lin, Adarsh Dave, Pin-Wen Guan, Kevin Gering, Venkatasubramanian Viswanathan

CoRR, 2023

Differentiable Turbulence II.

Varun Shankar, Romit Maulik, Venkatasubramanian Viswanathan

CoRR, 2023

Importance of equivariant and invariant symmetries for fluid flow modeling.

Varun Shankar, Shivam Barwey, Zico Kolter, Romit Maulik, Venkatasubramanian Viswanathan

CoRR, 2023

Differentiable Turbulence.

Varun Shankar, Romit Maulik, Venkatasubramanian Viswanathan

CoRR, 2023

Chemellia: An Ecosystem for Atomistic Scientific Machine Learning.

Anant Thazhemadam, Dhairya Gandhi, Venkatasubramanian Viswanathan, Rachel C. Kurchin

CoRR, 2023

Accurate Surface and Finite Temperature Bulk Properties of Lithium Metal at Large Scales using Machine Learning Interaction Potentials.

Mgcini Keith Phuthi, Archie Mingze Yao, Simon L. Batzner, Albert Musaelian, Boris Kozinsky, Ekin Dogus Cubuk, Venkatasubramanian Viswanathan

CoRR, 2023

2022

Super-linear Scaling Behavior for Electric Vehicle Chargers and Road Map to Addressing the Infrastructure Gap.

Alexius Wadell, Matthew Guttenberg, Christopher P. Kempes, Venkatasubramanian Viswanathan

CoRR, 2022

Score-Based Generative Models for Molecule Generation.

Dwaraknath Gnaneshwar, Bharath Ramsundar, Dhairya Gandhi, Rachel C. Kurchin, Venkatasubramanian Viswanathan

CoRR, 2022

A Model Predictive Control Scheme for Fast Charging via Accurate Quadratic Battery Models.

Alexander Bills, Mauro Salazar, Dong Zhang, Venkatasubramanian Viswanathan

Proceedings of the American Control Conference, 2022

2021

Autonomous optimization of nonaqueous battery electrolytes via robotic experimentation and machine learning.

Adarsh Dave, Jared Mitchell, Sven Burke, Hongyi Lin, Jay Whitacre, Venkatasubramanian Viswanathan

CoRR, 2021

Cell-Level State of Charge Estimation for Battery Packs Under Minimal Sensing.

Dong Zhang, Luis D. Couto, Ross Drummond, Shashank Sripad, Venkatasubramanian Viswanathan

CoRR, 2021

Differentiable Physics: A Position Piece.

Bharath Ramsundar, Dilip Krishnamurthy, Venkatasubramanian Viswanathan

CoRR, 2021

The promise of energy-efficient battery-powered urban aircraft.

Shashank Sripad, Venkatasubramanian Viswanathan

CoRR, 2021

PDE Observer for All-Solid-State Batteries via an Electrochemical Model.

Dong Zhang, Shu-Xia Tang, Luis D. Couto, Venkatasubramanian Viswanathan

Proceedings of the IEEE Conference on Control Technology and Applications, 2021

2020

Machine learning enabled discovery of application dependent design principles for two-dimensional materials.

Victor Venturi, Holden Parks, Zeeshan Ahmad, Venkatasubramanian Viswanathan

Mach. Learn. Sci. Technol., 2020

ACED: Accelerated Computational Electrochemical systems Discovery.

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

CoRR, 2020

Closed-Loop Design of Proton Donors for Lithium-Mediated Ammonia Synthesis with Interpretable Models and Molecular Machine Learning.

Dilip Krishnamurthy, Nikifar Lazouski, Michal L. Gala, Karthish Manthiram, Venkatasubramanian Viswanathan

CoRR, 2020

Universal Battery Performance and Degradation Model for Electric Aircraft.

Alexander Bills, Shashank Sripad, William L. Fredericks, Matthew Guttenberg, Devin Charles, Evan Frank, Venkatasubramanian Viswanathan

CoRR, 2020

Autonomous discovery of battery electrolytes with robotic experimentation and machine-learning.

Adarsh Dave, Jared Mitchell, Kirthevasan Kandasamy, Sven Burke, Biswajit Paria, Barnabás Póczos, Jay Whitacre, Venkatasubramanian Viswanathan

CoRR, 2020

2019

Automation is no barrier to light vehicle electrification.

Aniruddh Mohan, Shashank Sripad, Parth Vaishnav, Venkatasubramanian Viswanathan

CoRR, 2019

2018

FPGA-Centric Design Process for Avionic Simulation and Test.

Rabie Ben Atitallah, Venkatasubramanian Viswanathan, Nicolas Bélanger, Jean-Luc Dekeyser

IEEE Trans. Aerosp. Electron. Syst., 2018

Quantifying the Economic Case for Electric Semi-Trucks.

Shashank Sripad, Venkatasubramanian Viswanathan

CoRR, 2018

Machine Learning Enabled Computational Screening of Inorganic Solid Electrolytes for Dendrite Suppression with Li Metal Anode.

Zeeshan Ahmad, Tian Xie, Chinmay Maheshwari, Jeffrey C. Grossman, Venkatasubramanian Viswanathan

CoRR, 2018

2017

Vulnerabilities of Electric Vehicle Battery Packs to Cyberattacks on Auxiliary Components.

Shashank Sripad, Sekar Kulandaivel, Vikram Pande, Vyas Sekar, Venkatasubramanian Viswanathan

CoRR, 2017

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

PhD thesis, 2015

A Parallel And Scalable Multi-FPGA based Architecture for High Performance Applications (Abstract Only).

Venkatasubramanian Viswanathan, Rabie Ben Atitallah, Jean-Luc Dekeyser, Benjamin Nakache, Maurice Nakache

Proceedings of the 2015 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2015

Massively Parallel Dynamically Reconfigurable Multi-FPGA Computing System.

Venkatasubramanian Viswanathan, Rabie Ben Atitallah, Jean-Luc Dekeyser

Proceedings of the 23rd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2015

2014

Communication-centric design for FMC based I/O system.

Mokhtar Bouain, Venkatasubramanian Viswanathan, Rabie Ben Atitallah, Jean-Luc Dekeyser

Proceedings of the 9th International Symposium on Reconfigurable and Communication-Centric Systems-on-Chip, 2014

Redefining the role of FPGAs in the next generation avionic systems (abstract only).

Venkatasubramanian Viswanathan, Rabie Ben Atitallah, Jean-Luc Dekeyser, Benjamin Nakache, Maurice Nakache

Proceedings of the 2014 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2014

2012

Monte Carlo-Based Approach for Simulating Nanostructured Catalytic and Electrocatalytic Systems.

Venkatasubramanian Viswanathan, Frank Wang, Heinz Pitsch

Comput. Sci. Eng., 2012

Dynamic reconfiguration of modular I/O IP cores for avionic applications.

Venkatasubramanian Viswanathan, Benjamin Nakache, Rabie Ben Atitallah, Maurice Nakache, Jean-Luc Dekeyser

Proceedings of the 2012 International Conference on Reconfigurable Computing and FPGAs, 2012

2011

Reconfigurable acceleration and dynamic partial self-reconfiguration in general purpose computing.

Ioannis Sourdis, Abhijit Nandy, Venkatasubramanian Viswanathan, Anthony Brandon, Dimitris Theodoropoulos, Georgi Gaydadjiev

Proceedings of the 2011 International Conference on Field-Programmable Technology, 2011