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Venkatasubramanian Viswanathan
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2020 – today
- 2024
- [i25]Varun Madhavan, Amal S. Sebastian, Bharath Ramsundar, Venkatasubramanian Viswanathan:
Self-supervised Pretraining for Partial Differential Equations. CoRR abs/2407.06209 (2024) - [i24]Alexius Wadell, Anoushka Bhutani, Venkatasubramanian Viswanathan:
Smirk: An Atomically Complete Tokenizer for Molecular Foundation Models. CoRR abs/2409.15370 (2024) - 2023
- [j5]Shivam Barwey, Varun Shankar, Venkatasubramanian Viswanathan, Romit Maulik:
Multiscale graph neural network autoencoders for interpretable scientific machine learning. J. Comput. Phys. 495: 112537 (2023) - [j4]Varun Shankar, Vedant Puri, Ramesh Balakrishnan, Romit Maulik, Venkatasubramanian Viswanathan:
Differentiable physics-enabled closure modeling for Burgers' turbulence. Mach. Learn. Sci. Technol. 4(1): 15017 (2023) - [i23]Shivam Barwey, Varun Shankar, Venkatasubramanian Viswanathan, Romit Maulik:
Multiscale Graph Neural Network Autoencoders for Interpretable Scientific Machine Learning. CoRR abs/2302.06186 (2023) - [i22]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 abs/2305.06925 (2023) - [i21]Anant Thazhemadam, Dhairya Gandhi, Venkatasubramanian Viswanathan, Rachel C. Kurchin:
Chemellia: An Ecosystem for Atomistic Scientific Machine Learning. CoRR abs/2305.12010 (2023) - [i20]Varun Shankar, Romit Maulik, Venkatasubramanian Viswanathan:
Differentiable Turbulence. CoRR abs/2307.03683 (2023) - [i19]Varun Shankar, Shivam Barwey, Zico Kolter, Romit Maulik, Venkatasubramanian Viswanathan:
Importance of equivariant and invariant symmetries for fluid flow modeling. CoRR abs/2307.05486 (2023) - [i18]Varun Shankar, Romit Maulik, Venkatasubramanian Viswanathan:
Differentiable Turbulence II. CoRR abs/2307.13533 (2023) - [i17]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 abs/2310.03047 (2023) - 2022
- [c8]Alexander Bills, Mauro Salazar, Dong Zhang, Venkatasubramanian Viswanathan:
A Model Predictive Control Scheme for Fast Charging via Accurate Quadratic Battery Models. ACC 2022: 1794-1800 - [i16]Dwaraknath Gnaneshwar, Bharath Ramsundar, Dhairya Gandhi, Rachel C. Kurchin, Venkatasubramanian Viswanathan:
Score-Based Generative Models for Molecule Generation. CoRR abs/2203.04698 (2022) - [i15]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 abs/2204.03094 (2022) - [i14]Varun Shankar, Vedant Puri, Ramesh Balakrishnan, Romit Maulik, Venkatasubramanian Viswanathan:
Differentiable physics-enabled closure modeling for Burgers' turbulence. CoRR abs/2209.11614 (2022) - 2021
- [c7]Dong Zhang, Shu-Xia Tang, Luis D. Couto, Venkatasubramanian Viswanathan:
PDE Observer for All-Solid-State Batteries via an Electrochemical Model. CCTA 2021: 51-56 - [i13]Shashank Sripad, Venkatasubramanian Viswanathan:
The promise of energy-efficient battery-powered urban aircraft. CoRR abs/2106.09513 (2021) - [i12]Bharath Ramsundar, Dilip Krishnamurthy, Venkatasubramanian Viswanathan:
Differentiable Physics: A Position Piece. CoRR abs/2109.07573 (2021) - [i11]Dong Zhang, Luis D. Couto, Ross Drummond, Shashank Sripad, Venkatasubramanian Viswanathan:
Cell-Level State of Charge Estimation for Battery Packs Under Minimal Sensing. CoRR abs/2109.08332 (2021) - [i10]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 abs/2111.14786 (2021) - 2020
- [j3]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): 35015 (2020) - [i9]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 abs/2001.09938 (2020) - [i8]Victor Venturi, Holden Parks, Zeeshan Ahmad, Venkatasubramanian Viswanathan:
Machine Learning Enabled Discovery of Application Dependent Design Principles for Two-dimensional Materials. CoRR abs/2003.13418 (2020) - [i7]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 abs/2008.01527 (2020) - [i6]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 abs/2008.08078 (2020) - [i5]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:
ACED: Accelerated Computational Electrochemical systems Discovery. CoRR abs/2011.04426 (2020)
2010 – 2019
- 2019
- [i4]Aniruddh Mohan, Shashank Sripad, Parth Vaishnav, Venkatasubramanian Viswanathan:
Automation is no barrier to light vehicle electrification. CoRR abs/1908.08920 (2019) - 2018
- [j2]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): 1047-1065 (2018) - [i3]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 abs/1804.04651 (2018) - [i2]Shashank Sripad, Venkatasubramanian Viswanathan:
Quantifying the Economic Case for Electric Semi-Trucks. CoRR abs/1804.05974 (2018) - 2017
- [i1]Shashank Sripad, Sekar Kulandaivel, Vikram Pande, Vyas Sekar, Venkatasubramanian Viswanathan:
Vulnerabilities of Electric Vehicle Battery Packs to Cyberattacks on Auxiliary Components. CoRR abs/1711.04822 (2017) - 2015
- [b1]Venkatasubramanian Viswanathan:
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). University of Valenciennes and Hainaut-Cambresis, France, 2015 - [c6]Venkatasubramanian Viswanathan, Rabie Ben Atitallah, Jean-Luc Dekeyser:
Massively Parallel Dynamically Reconfigurable Multi-FPGA Computing System. FCCM 2015: 165 - [c5]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: 266 - 2014
- [c4]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: 248 - [c3]Mokhtar Bouain, Venkatasubramanian Viswanathan, Rabie Ben Atitallah, Jean-Luc Dekeyser:
Communication-centric design for FMC based I/O system. ReCoSoC 2014: 1-8 - 2012
- [j1]Venkatasubramanian Viswanathan, Frank Wang, Heinz Pitsch:
Monte Carlo-Based Approach for Simulating Nanostructured Catalytic and Electrocatalytic Systems. Comput. Sci. Eng. 14(2): 60-69 (2012) - [c2]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: 1-6 - 2011
- [c1]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: 1-8
Coauthor Index
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