Research output per year
Research output per year
Personal profile
Qualifications
PhD in Physics, University of Melbourne
Research Interests
Physics-based Machine Learning, Energy Materials (solar and electrochemical energy storage), Materials Characterisations, Electrochemistry
Biography
Hualin Zhan is an ACAP fellow (Australian Centre for Advanced Photovoltaics) and a researcher of physics-based machine learning at the ANU. He has published a book, a book chapter, and high-impact papers in Nature Nanotechnology, Energy & Environmental Science, Advanced Materials, etc. His research interests include innovations of energy materials by physics-based machine learning and biomedical applications, aiming to explore potentially disruptive technologies. His machine learning-based software - AiNU - has provided a step-change technique for research of novel energy materials.
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- 1 Similar Profiles
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Physics-based extraction of material parameters from perovskite experiments <i>via</i> Bayesian optimization
Zhan, H., Ahmad, V., Mayon, A., Tabi, G. D., Bui, A. D., Li, Z., Walter, D., Nguyen, H., Weber, K., White, T. & Catchpole, K., 2 Jul 2024, In: Energy and Environmental Science. 17, 13, p. 4735-4745 11 p.Research output: Contribution to journal › Article › peer-review
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Physics-Based Machine Learning Discovered Nanocircuitry for Nonlinear Ion Transport in Nanoporous Electrodes
Zhan, H., Sandberg, R., Feng, F., Liang, Q., Xie, K., Zu, L., Li, D. & Liu, J. Z., 11 Jul 2023, In: Journal of Physical Chemistry C. 127, 28, p. 13699-13705 7 p.Research output: Contribution to journal › Article › peer-review
3 Citations (Scopus) -
Electrolyte gating in graphene-based supercapacitors and its use for probing nanoconfined charging dynamics
Xiao, J., Zhan, H., Wang, X., Xu, Z. Q., Xiong, Z., Zhang, K., Simon, G. P., Liu, J. Z. & Li, D., 1 Aug 2020, In: Nature Nanotechnology. 15, 8, p. 683-689 7 p.Research output: Contribution to journal › Article › peer-review
Open Access101 Citations (Scopus) -
Solvation-Involved Nanoionics: New Opportunities from 2D Nanomaterial Laminar Membranes
Zhan, H., Xiong, Z., Cheng, C., Liang, Q., Liu, J. Z. & Li, D., 1 May 2020, In: Advanced Materials. 32, 18, 1904562.Research output: Contribution to journal › Article › peer-review
Open Access88 Citations (Scopus) -
Preferred Parallel Alignment of Sulfonamide Enables High-performance Inverted Perovskite Solar Cells
Huang, H., Guo, Y., Wang, W., Wang, Y., Feng, Z., Xu, J., Zhang, H., Ji, Y., Li, L., Wu, X., Liu, Y., Peng, Y., Li, X., Fang, Y., Zhang, Y., Huang, C., Chen, S., Zhou, W., Tang, D. & Sun, J. & 10 others, , 25 Sept 2025, In: Advanced Materials. 37, 38, 10 p., 2507918.Research output: Contribution to journal › Article › peer-review
Open Access36 Citations (Scopus)
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Development of a quantitative materials analysis platform for advanced photovoltaics by physics-based machine learning
Zhan, H. (PI)
18/12/23 → 30/06/24
Project: Research
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Mechanistic analysis of perovskite degradation for stable photovoltaics
Catchpole, K. (PI), Walter, D. (CoI) & Zhan, H. (CoI)
1/01/26 → 31/12/28
Project: Research