Venkatasubramanian Viswanathan

Orcid: 0000-0003-1060-5495

According to our database1, Venkatasubramanian Viswanathan authored at least 34 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
Multiscale graph neural network autoencoders for interpretable scientific machine learning.
J. Comput. Phys., December, 2023

Differentiable physics-enabled closure modeling for Burgers' turbulence.
Mach. Learn. Sci. Technol., March, 2023

Differentiable Chemical Physics by Geometric Deep Learning for Gradient-based Property Optimization of Mixtures.
CoRR, 2023

Differentiable Turbulence II.
CoRR, 2023

Importance of equivariant and invariant symmetries for fluid flow modeling.
CoRR, 2023

Differentiable Turbulence.
CoRR, 2023

Chemellia: An Ecosystem for Atomistic Scientific Machine Learning.
CoRR, 2023

Accurate Surface and Finite Temperature Bulk Properties of Lithium Metal at Large Scales using Machine Learning Interaction Potentials.
CoRR, 2023

2022
Super-linear Scaling Behavior for Electric Vehicle Chargers and Road Map to Addressing the Infrastructure Gap.
CoRR, 2022

Score-Based Generative Models for Molecule Generation.
CoRR, 2022

A Model Predictive Control Scheme for Fast Charging via Accurate Quadratic Battery Models.
Proceedings of the American Control Conference, 2022

2021
Autonomous optimization of nonaqueous battery electrolytes via robotic experimentation and machine learning.
CoRR, 2021

Cell-Level State of Charge Estimation for Battery Packs Under Minimal Sensing.
CoRR, 2021

Differentiable Physics: A Position Piece.
CoRR, 2021

The promise of energy-efficient battery-powered urban aircraft.
CoRR, 2021

PDE Observer for All-Solid-State Batteries via an Electrochemical Model.
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.
Mach. Learn. Sci. Technol., 2020

ACED: Accelerated Computational Electrochemical systems Discovery.
CoRR, 2020

Closed-Loop Design of Proton Donors for Lithium-Mediated Ammonia Synthesis with Interpretable Models and Molecular Machine Learning.
CoRR, 2020

Universal Battery Performance and Degradation Model for Electric Aircraft.
CoRR, 2020

Autonomous discovery of battery electrolytes with robotic experimentation and machine-learning.
CoRR, 2020

2019
Automation is no barrier to light vehicle electrification.
CoRR, 2019

2018
FPGA-Centric Design Process for Avionic Simulation and Test.
IEEE Trans. Aerosp. Electron. Syst., 2018

Quantifying the Economic Case for Electric Semi-Trucks.
CoRR, 2018

Machine Learning Enabled Computational Screening of Inorganic Solid Electrolytes for Dendrite Suppression with Li Metal Anode.
CoRR, 2018

2017
Vulnerabilities of Electric Vehicle Battery Packs to Cyberattacks on Auxiliary Components.
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).
PhD thesis, 2015

A Parallel And Scalable Multi-FPGA based Architecture for High Performance Applications (Abstract Only).
Proceedings of the 2015 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2015

Massively Parallel Dynamically Reconfigurable Multi-FPGA Computing System.
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.
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).
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.
Comput. Sci. Eng., 2012

Dynamic reconfiguration of modular I/O IP cores for avionic applications.
Proceedings of the 2012 International Conference on Reconfigurable Computing and FPGAs, 2012

2011
Reconfigurable acceleration and dynamic partial self-reconfiguration in general purpose computing.
Proceedings of the 2011 International Conference on Field-Programmable Technology, 2011


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