Patrick K. Herring
Patrick K. Herring
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Cited by
Cited by
Data-driven prediction of battery cycle life before capacity degradation
KA Severson, PM Attia, N Jin, N Perkins, B Jiang, Z Yang, MH Chen, ...
Nature Energy 4 (5), 383-391, 2019
Closed-loop optimization of fast-charging protocols for batteries with machine learning
PM Attia, A Grover, N Jin, KA Severson, TM Markov, YH Liao, MH Chen, ...
Nature 578 (7795), 397-402, 2020
py4DSTEM: A software package for four-dimensional scanning transmission electron microscopy data analysis
BH Savitzky, SE Zeltmann, LA Hughes, HG Brown, S Zhao, PM Pelz, ...
Microscopy and Microanalysis 27 (4), 712-743, 2021
Perspective—combining physics and machine learning to predict battery lifetime
M Aykol, CB Gopal, A Anapolsky, PK Herring, B van Vlijmen, MD Berliner, ...
Journal of The Electrochemical Society 168 (3), 030525, 2021
Machine learning for continuous innovation in battery technologies
M Aykol, P Herring, A Anapolsky
Nature Reviews Materials 5 (10), 725-727, 2020
Graphene-based thermopile for thermal imaging applications
AL Hsu, PK Herring, NM Gabor, S Ha, YC Shin, Y Song, M Chin, M Dubey, ...
Nano letters 15 (11), 7211-7216, 2015
Network analysis of synthesizable materials discovery
M Aykol, VI Hegde, L Hung, S Suram, P Herring, C Wolverton, ...
Nature communications 10 (1), 2018, 2019
Large-scale 2D electronics based on single-layer MoS2 grown by chemical vapor deposition
H Wang, L Yu, YH Lee, W Fang, A Hsu, P Herring, M Chin, M Dubey, LJ Li, ...
2012 International Electron Devices Meeting, 4.6. 1-4.6. 4, 2012
Observation of suppressed terahertz absorption in photoexcited graphene
AJ Frenzel, CH Lui, W Fang, NL Nair, PK Herring, P Jarillo-Herrero, ...
Applied Physics Letters 102 (11), 2013
Carbon nanotubes for coherent spintronics
F Kuemmeth, HOH Churchill, PK Herring, CM Marcus
Materials Today 13 (3), 18-26, 2010
Photoresponse of an electrically tunable ambipolar graphene infrared thermocouple
PK Herring, AL Hsu, NM Gabor, YC Shin, J Kong, T Palacios, ...
Nano letters 14 (2), 901-907, 2014
Bayesian learning for rapid prediction of lithium-ion battery-cycling protocols
B Jiang, WE Gent, F Mohr, S Das, MD Berliner, M Forsuelo, H Zhao, ...
Joule 5 (12), 3187-3203, 2021
Fast charging design for Lithium-ion batteries via Bayesian optimization
B Jiang, MD Berliner, K Lai, PA Asinger, H Zhao, PK Herring, MZ Bazant, ...
Applied Energy 307, 118244, 2022
Principles of the battery data genome
L Ward, S Babinec, EJ Dufek, DA Howey, V Viswanathan, M Aykol, ...
Joule 6 (10), 2253-2271, 2022
BEEP: A python library for battery evaluation and early prediction
P Herring, CB Gopal, M Aykol, JH Montoya, A Anapolsky, PM Attia, ...
SoftwareX 11, 100506, 2020
Single-layer graphene on silicon nitride micromembrane resonators
S Schmid, T Bagci, E Zeuthen, JM Taylor, PK Herring, MC Cassidy, ...
Journal of Applied Physics 115 (5), 2014
Electron Devices Meeting (IEDM), 2012 IEEE International
H Wang, L Yu, YH Lee, W Fang, A Hsu, P Herring, M Chin, M Dubey, LJ Li, ...
San Francisco, CA, 2012
Toward autonomous materials research: Recent progress and future challenges
JH Montoya, M Aykol, A Anapolsky, CB Gopal, PK Herring, ...
Applied Physics Reviews 9 (1), 2022
Cell matching across multiple characteristics during battery assembly
LR Hom, TP Muniz, PK Herring
US Patent 10,274,543, 2019
py4DSTEM: Open source software for 4D-STEM data analysis
BH Savitzky, L Hughes, KC Bustillo, HD Deng, NL Jin, EG Lomeli, ...
Microscopy and Microanalysis 25 (S2), 124-125, 2019
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