Research output per year
Research output per year
Personal profile
Biography
Dr. Bor-Rong (Hypo) Chen is a postdoctoral research associate in the Energy Storage Technology group at Idaho National Laboratory. Her research focuses on the development of a framework combining materials science and machine learning to predict the lifetime and aging mechanisms of lithium ion batteries. Bor-Rong has a Ph.D. from the Department of Materials Science and Engineering at Northwestern University and a B.Sc. from National Taiwan University. Before joining Idaho National Laboratory, Bor-Rong was a postdoctoral researcher at SLAC National Accelerator Laboratory, where she specialized in X-ray scattering and spectroscopy. In addition to materials characterization, Bor-Rong is also experienced in the synthesis of metastable transition metal oxides and nitrides.
Education/Academic qualification
PhD, Materials Science and Engineering, Northwestern University
2011 → 2017
Master, Materials Science and Engineering, National Tsing Hua University
2009 → 2011
Bachelor, Materials Science and Engineering, National Taiwan University
2005 → 2009
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Calendar life of lithium metal batteries: Accelerated aging and failure analysis
Kim, S., Barnes, P., Zhang, H., Efaw, C., Wang, Y., Park, B., Li, B., Chen, B. R., Evans, M. C., Liaw, B., Olds, D., Khalifah, P. G. & Dufek, E. J., Feb 2024, In: Energy Storage Materials. 65, 103147.Research output: Contribution to journal › Article › peer-review
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A mathematical approach to survey electrochemical impedance spectroscopy for aging in lithium-ion batteries
Chen, B. R., Police, Y. R., Li, M., Chinnam, P. R., Tanim, T. R. & Dufek, E. J., Feb 28 2023, In: Frontiers in Energy Research. 11, 1132876.Research output: Contribution to journal › Article › peer-review
Open Access8 Scopus citations -
Battery state-of-health diagnostics during fast cycling using physics-informed deep-learning
Weddle, P. J., Kim, S., Chen, B. R., Yi, Z., Gasper, P., Colclasure, A. M., Smith, K., Gering, K. L., Tanim, T. R. & Dufek, E. J., Nov 30 2023, In: Journal of Power Sources. 585, 233582.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Principles of the Battery Data Genome: Principles of the Battery Data Genome (Joule (2022) 6(10) (2253–2271), (S2542435122004093), (10.1016/j.joule.2022.08.008))
Ward, L., Babinec, S., Dufek, E. J., Howey, D. A., Viswanathan, V., Aykol, M., Beck, D. A. C., Blaiszik, B., Chen, B. R., Crabtree, G., Clark, S., De Angelis, V., Dechent, P., Dubarry, M., Eggleton, E. E., Finegan, D. P., Foster, I., Gopal, C. B., Herring, P. K., Hu, V. W., & 8 others, Jan 18 2023, In: Joule. 7, 1, p. 238 1 p.Research output: Contribution to journal › Comment/debate
Open Access -
Accelerated battery life predictions through synergistic combination of physics-based models and machine learning
Kim, S., Yi, Z., Kunz, M. R., Dufek, E. J., Tanim, T. R., Chen, B. R., Gering, K. L. & Tanim, T., Sep 21 2022, In: Cell Reports Physical Science. 3, 9, 101023.Research output: Contribution to journal › Article › peer-review
Open Access9 Scopus citations
Activities
- 1 Membership of network
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Materials Research Society, MRS (External organization)
Bor-Rong Chen (Member)
May 2013 → …Activity: Membership › Membership of network
Press/Media
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Machine learning in charge: Improving battery safety for electric vehicles
09/29/21
1 item of Media coverage
Press/Media