Fanfan Lin

University of Illinois Urbana-Champaign — United States

Engineering · Physical Sciences

14h-index808citations77works2.12yr avg
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Research Topics

Advanced DC-DC Converters(38), Microgrid Control and Optimization(32), Multilevel Inverters and Converters(27), Silicon Carbide Semiconductor Technologies(15), Advanced Battery Technologies Research(10)

Publications77 total

Virtualization as a New Scaling Law for Semiconductor Devices Beyond Geometric Scaling.
PubMed·2026
Functional Divergence of the Duplicated BrrCBL2.1 and BrrCBL2.2 Genes in Turnip (Brassica rapa var. rapa)
SSRN Electronic Journal·2026Open Access
Pathways to Recognition: Your Guide to IEEE PELS Awards [Award Review]
IEEE Power Electronics Magazine·2025
Circuit-to-Graph: Power Converters Modeling With Multidimensional Generalization
IEEE Journal of Emerging and Selected Topics in Power Electronics·2025
Generalized Waveform Modeling for Dual Active Bridge with Graph Neural Networks
2025
GNN4W: Graph Neural Network for Dual Active Bridge Converter Waveform Modeling with Operational Generalization
2025
SocGate: Physics-Gated Neural Network for Multi-Cycle Battery State-of-Charge Estimation
2025
Towards Ethical AI in Power Electronics: How Engineering Practice and Roles Must Adapt
ArXiv.org·2025Open Access
State of health and remaining useful life full lifecycle prediction for lithium-ion battery based on frequency domain interpolation and phased approach
Ionics·2025· 1 cited
State of Charge Estimation for Energy Storage Station Batteries Considering Hysteresis Effect
2025
LF-Net: A Lightweight Architecture for State-of-Charge Estimation of Lithium-Ion Batteries by Decomposing Global Trend and Local Fluctuations
Electronics·2025Open Access
NeurPecs: Physics-Informed AI-Based Adaptive Circuit Simulator for Power Converters
IEEE Transactions on Industrial Electronics·2025· 1 cited
SocNet: A Physics-Guided Neural Network for Battery State-of-Charge Estimation Robust to Temperature Variations and Sensor Noises
IEEE Transactions on Transportation Electrification·2025· 1 cited
Graph Neural Network Based Performance Modeling for the Dual Active Bridge Converter with Operational Generalization
2025
AI Explainability for Power Electronics: From a Lipschitz Continuity Perspective
arXiv (Cornell University)·2025Open Access
Microgrid cluster development fundamentals
Elsevier eBooks·2025
Challenges of microgrid cluster operation
Elsevier eBooks·2025
Utility grid integration of microgrid clusters
Elsevier eBooks·2025
Conclusion: Microgrid cluster development and future perspectives
Elsevier eBooks·2025
A Comprehensive Review on the Application of Large Language Models (LLMs) in Power Systems
IEEE Access·2025Open Access
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Frequent Co-authors

Xinze Li(29), Xin Zhang(28), Hao Ma(17), Xin Zhang(6), Changjiang Sun(5), Xilin Dai(5), Frede Blaabjerg(4), Kezhi Mao(4), Changyun Wen(4), Jingjing Huang(4), Hoay Beng Gooi(3), Junhua Liu(3), Shuai Zhao(3), Bohui Zhao(3), Rong Zhou(3), Bin Zhao(3), Ke He(3), Mohamed Ali Zdiri(3), Wenjian Cai(2), Josep Pou(2)