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Adarsh Dave
Adarsh Dave
Verified email at andrew.cmu.edu
Title
Cited by
Cited by
Year
Autonomous discovery of battery electrolytes with robotic experimentation and machine learning
A Dave, J Mitchell, K Kandasamy, H Wang, S Burke, B Paria, B Póczos, ...
Cell Reports Physical Science 1 (12), 2020
1312020
Autonomous optimization of non-aqueous Li-ion battery electrolytes via robotic experimentation and machine learning coupling
A Dave, J Mitchell, S Burke, H Lin, J Whitacre, V Viswanathan
Nature communications 13 (1), 5454, 2022
452022
Where is the electronic oscillator strength? Mapping oscillator strength across molecular absorption spectra
L Zheng, NF Polizzi, AR Dave, A Migliore, DN Beratan
The Journal of Physical Chemistry A 120 (11), 1933-1943, 2016
422016
An autonomous electrochemical test stand for machine learning informed electrolyte optimization
JF Whitacre, J Mitchell, A Dave, W Wu, S Burke, V Viswanathan
Journal of The Electrochemical Society 166 (16), A4181, 2019
242019
Benchmarking conductivity predictions of the advanced electrolyte model (AEM) for aqueous systems
A Dave, KL Gering, JM Mitchell, J Whitacre, V Viswanathan
Journal of The Electrochemical Society 167 (1), 013514, 2019
132019
AutoMat: Automated materials discovery for electrochemical systems
E Annevelink, R Kurchin, E Muckley, L Kavalsky, VI Hegde, V Sulzer, ...
MRS Bulletin 47 (10), 1036-1044, 2022
62022
Supervised learning for distribution secondary systems modeling: Improving solar interconnection processes
W Wang, J Keen, J Giraldez, K Baranko, B Lunghino, D Morris, F Bell, ...
IEEE Transactions on Sustainable Energy 13 (2), 948-956, 2022
52022
Acoustic imaging aboard the international space station (iss): Challenges and preliminary results
L Bondi, G Chuang, C Ick, A Dave, C Shelton, B Coltin, T Smith, S Das
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
32022
AutoMat: Accelerated Computational Electrochemical systems Discovery
E Annevelink, R Kurchin, E Muckley, L Kavalsky, VI Hegde, V Sulzer, ...
arXiv preprint arXiv:2011.04426, 2020
12020
Design and Optimization of Non-Aqueous Electrolytes for Anode-Free Li Metal Cells Via Donor Number and Robotic Experimentation
H Lin, R Gauthier, A Dave, J Whitacre, V Viswanathan
244th ECS Meeting (October 8-12, 2023), 2023
2023
Differentiable Chemical Physics by Geometric Deep Learning for Gradient-based Property Optimization of Mixtures
S Zhu, B Ramsundar, E Annevelink, H Lin, A Dave, PW Guan, K Gering, ...
arXiv preprint arXiv:2310.03047, 2023
2023
Differentiable Modeling and Optimization of Battery Electrolyte Mixtures Using Geometric Deep Learning
S Zhu, B Ramsundar, E Annevelink, H Lin, A Dave, PW Guana, K Gering, ...
arXiv preprint arXiv:2310.03047, 2023
2023
Advancements in Engineering and Management (ICRAEM-2020) 9th-10th, October, 2020
A Dave, KL Gering, JM Mitchell
Management (ICRAEM-2020) 9, 10th, 2020
2020
Autonomous Electrolyte Discovery for Batteries with Experimentally Informed Bayesian Optimization
A Dave, J Mitchell, K Kandasamy, S Burke, B Paria, B Poczos, ...
Electrochemical Society Meeting Abstracts 237, 527-527, 2020
2020
Automated Design and Discovery of Liquid Electrolytes for Lithium-Ion Batteries
AR Dave
Carnegie Mellon University, 0
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