Benben Jiang

Citirano

	Sve	Od 2020.
Citati	3333	3018
H-indeks	18	18
i10-indeks	24	23

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Suautori

Richard D. BraatzEdwin R. Gilliland Professor, Massachusetts Institute of TechnologyPotvrđena adresa e-pošte na mit.edu
Martin Z. BazantE. G. Roos (1944) Professor of Chemical Engineering and Mathematics, MITPotvrđena adresa e-pošte na mit.edu
Patrick K. HerringGlimpsePotvrđena adresa e-pošte na glimp.se
William ChuehStanford UniversityPotvrđena adresa e-pošte na stanford.edu
Dimitrios FraggedakisAssistant Professor, Chemical and Biological Engineering, Princeton UniversityPotvrđena adresa e-pošte na princeton.edu
Hongbo ZhaoAssistant Professor of Physics and Chemistry, UC San DiegoPotvrđena adresa e-pošte na ucsd.edu
Peter AttiaGlimpsePotvrđena adresa e-pošte na glimp.se
Stephen J. HarrisLawrence Berkeley National LabPotvrđena adresa e-pošte na lbl.gov
Xiaoxiang ZhuAmgen Inc.Potvrđena adresa e-pošte na mit.edu
Qiugang LuTexas Tech UniversityPotvrđena adresa e-pošte na ttu.edu
Muratahan AykolGoogle DeepMindPotvrđena adresa e-pošte na google.com
Marc D. BerlinerBattery algorithms at IonworksPotvrđena adresa e-pošte na mit.edu
Fan YANG (杨帆)Tsinghua UniversityPotvrđena adresa e-pošte na tsinghua.edu.cn
Leo ChiangDowPotvrđena adresa e-pošte na dow.com
William E. GentVP Engineering, Inlyte EnergyPotvrđena adresa e-pošte na alumni.stanford.edu
Patrick AsingerMassachusetts Institute of TechnologyPotvrđena adresa e-pošte na mit.edu
Bhushan GopaluniUniversity of British columbiaPotvrđena adresa e-pošte na ubc.ca
Brian D. StoreyToyota Research InstitutePotvrđena adresa e-pošte na tri.global
Joel PaulsonAssistant Professor of Chemical and Biomolecular Engineering, The Ohio State UniversityPotvrđena adresa e-pošte na osu.edu
Stefano ErmonStanford UniversityPotvrđena adresa e-pošte na cs.stanford.edu

Prati

Benben Jiang

Associate Professor, Tsinghua University

Potvrđena adresa e-pošte na tsinghua.edu.cn - Početna stranica

AI for science Scientific machine learning Bayesian statistics Trustworthy AI Batteries


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
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	2145	2019
Canonical variate analysis-based contributions for fault identification B Jiang, D Huang, X Zhu, F Yang, RD Braatz Journal of Process Control 26, 17-25, 2015	128	2015
A combined canonical variate analysis and Fisher discriminant analysis (CVA–FDA) approach for fault diagnosis B Jiang, X Zhu, D Huang, JA Paulson, RD Braatz Computers & Chemical Engineering 77, 1-9, 2015	114	2015
Real-time personalized health status prediction of lithium-ion batteries using deep transfer learning G Ma, S Xu, B Jiang, C Cheng, X Yang, Y Shen, T Yang, Y Huang, H Ding, ... Energy & Environmental Science 15 (10), 4083-4094, 2022	113	2022
Diagnosis of multiple and unknown faults using the causal map and multivariate statistics LH Chiang, B Jiang, X Zhu, D Huang, RD Braatz Journal of Process Control 28, 27-39, 2015	106	2015
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	86	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	72	2022
Realistic fault detection of li-ion battery via dynamical deep learning J Zhang, Y Wang, B Jiang, H He, S Huang, C Wang, Y Zhang, X Han, ... Nature Communications 14 (1), 5940, 2023	54	2023
Fault detection of process correlation structure using canonical variate analysis-based correlation features B Jiang, RD Braatz Journal of Process Control 58, 131-138, 2017	54	2017
Canonical variate analysis-based monitoring of process correlation structure using causal feature representation B Jiang, X Zhu, D Huang, RD Braatz Journal of Process Control 32, 109-116, 2015	46	2015
Sparse canonical variate analysis approach for process monitoring Q Lu, B Jiang, RB Gopaluni, PD Loewen, RD Braatz Journal of Process Control 71, 90-102, 2018	42	2018
Nonlinear identifiability analysis of the porous electrode theory model of lithium-ion batteries MD Berliner, H Zhao, S Das, M Forsuelo, B Jiang, WH Chueh, MZ Bazant, ... Journal of The Electrochemical Society 168 (9), 090546, 2021	39	2021
Learning heterogeneous reaction kinetics from X-ray videos pixel by pixel H Zhao, HD Deng, AE Cohen, J Lim, Y Li, D Fraggedakis, B Jiang, ... Nature 621 (7978), 289-294, 2023	36	2023
Locality preserving discriminative canonical variate analysis for fault diagnosis Q Lu, B Jiang, RB Gopaluni, PD Loewen, RD Braatz Computers & Chemical Engineering 117, 309-319, 2018	33	2018
Dynamic minimax probability machine-based approach for fault diagnosis using pairwise discriminate analysis B Jiang, Z Guo, Q Zhu, G Huang IEEE Transactions on Control Systems Technology 27 (2), 806-813, 2017	27	2017
State-of-charge dependent equivalent circuit model identification for batteries using sparse Gaussian process regression K Fan, Y Wan, B Jiang Journal of Process Control 112, 1-11, 2022	22	2022
Maximized mutual information analysis based on stochastic representation for process monitoring B Jiang, Y Luo, Q Lu IEEE Transactions on Industrial Informatics 15 (3), 1579-1587, 2018	20	2018
A cross-scale framework for evaluating flexibility values of battery and fuel cell electric vehicles R Liu, G He, X Wang, D Mallapragada, H Zhao, Y Shao-Horn, B Jiang Nature communications 15 (1), 280, 2024	18	2024
Fault diagnosis in industrial processes by maximizing pairwise Kullback–Leibler divergence Q Lu, B Jiang, E Harinath IEEE Transactions on Control Systems Technology 29 (2), 780-785, 2019	18	2019
Adaptive model-based reinforcement learning for fast-charging optimization of lithium-ion batteries Y Hao, Q Lu, X Wang, B Jiang IEEE Transactions on Industrial Informatics 20 (1), 127-137, 2023	16	2023

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