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ORCIDPeter M. Attia
Person information
- affiliation: Tesla, Palo Alto, CA, USA
- affiliation (PhD 2019): Stanford University, CA, USA
- affiliation (former): University of Delaware, Newark, USA
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Journal Articles
- 2020
[j3]Peter M. Attia
, Aditya Grover, Norman Jin, Kristen A. Severson, Todor M. Markov, Yang-Hung Liao, Michael H. Chen, Bryan Cheong, Nicholas Perkins, Zi Yang, Patrick K. Herring, Muratahan Aykol, Stephen J. Harris, Richard D. Braatz, Stefano Ermon, William C. Chueh:
Closed-loop optimization of fast-charging protocols for batteries with machine learning. Nat. 578(7795): 397-402 (2020)- [j2]Patrick K. Herring, Chirranjeevi Balaji Gopal, Muratahan Aykol, Joseph H. Montoya, Abraham Anapolsky, Peter M. Attia, William Gent, Jens S. Hummelshøj, Linda Hung, Ha-Kyung Kwon, Patrick Moore, Daniel Schweigert, Kristen A. Severson, Santosh Suram, Zi Yang, Richard D. Braatz, Brian D. Storey:
BEEP: A Python library for Battery Evaluation and Early Prediction. SoftwareX 11: 100506 (2020) - 2013
- [j1]Peter M. Attia:
Mega-Sized Concerns from the Nano-Sized World: The Intersection of Nano- and Environmental Ethics. Sci. Eng. Ethics 19(3): 1007-1016 (2013)
Conference and Workshop Papers
- 2018
- [c1]Aditya Grover, Todor M. Markov, Peter M. Attia, Norman Jin, Nicolas Perkins, Bryan Cheong, Michael H. Chen, Zi Yang, Stephen J. Harris, William C. Chueh, Stefano Ermon:
Best arm identification in multi-armed bandits with delayed feedback. AISTATS 2018: 833-842
Informal and Other Publications
- 2024
- [i4]Amariah Condon, Bailey Buscarino, Eric Moch, William J. Sehnert, Owen Miles, Patrick K. Herring, Peter M. Attia:
A dataset of over one thousand computed tomography scans of battery cells. CoRR abs/2403.02527 (2024) - 2022
- [i3]Andrew Weng, Peyman Mohtat, Peter M. Attia, Valentin Sulzer, Suhak Lee, Greg Less, Anna G. Stefanopoulou:
Predicting the impact of formation protocols on battery lifetime immediately after manufacturing. CoRR abs/2203.14158 (2022) - 2021
- [i2]Peter M. Attia, Kristen A. Severson, Jeremy D. Witmer:
Statistical learning for accurate and interpretable battery lifetime prediction. CoRR abs/2101.01885 (2021) - 2018
- [i1]Aditya Grover, Todor M. Markov, Peter M. Attia, Norman Jin, Nicholas Perkins, Bryan Cheong, Michael H. Chen, Zi Yang, Stephen J. Harris, William C. Chueh, Stefano Ermon:
Best arm identification in multi-armed bandits with delayed feedback. CoRR abs/1803.10937 (2018)
Coauthor Index
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