Minjie Chen

Assistant Professor

Princeton University

United States

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About

Minjie Chen is an Assistant Professor at Princeton University, specializing in power electronics and machine learning applications in energy systems. His recent research encompasses topics such as wireless power transfer for UAV fleets, modular metamaterials, and data-driven modeling for grid-connected systems. Dr. Chen's contributions continue to advance the understanding and implementation of innovative technologies in the field of electrical engineering.

Articles (20)

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2022

Collaborators (10)

Haoran Li

UNITED STATES

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Yang Wu

Aalborg University

DENMARK

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Xiongfei Wang

KTH Royal Institute of Technology

SWEDEN

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Liang Zhao

Aalborg University

DENMARK

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DRAGAN MAKSIMOVIC

University of Colorado Boulder

UNITED STATES

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Tuo Zhao

Princeton University

UNITED STATES

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Zichao Zhou

KTH Royal Institute of Technology

SWEDEN

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Heng Wu

Aalborg University

DENMARK

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Lars Nordström

KTH Royal Institute of Technology

SWEDEN

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Jun Wang

University of Bristol

UNITED KINGDOM

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Minjie Chen

Research Interests

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About

Articles (20)

MagNet Challenge for Data-Driven Power Magnetics Modeling

Modular chiral origami metamaterials

Radio Frequency Power Combining With Reactance Steering Network for Fusion Plasma Heating

Balancing Flying Capacitor Multilevel Converters With Coupled Inductors: Multiresonant Dynamics

UAV Fleet Charging on Telecom Towers With Differential Capacitive Wireless Power Transfer

Power for AI and AI for Power: The Infinite Entanglement Between Artificial Intelligence and Power Electronics Systems

Impedance Profile Prediction for Grid-Connected VSCs With Data-Driven Feature Extraction

Balancing Multiphase FCML Converters With Coupled Inductors: Modeling, Analysis, Limitations

Machine Learning at the Grid Edge: Data-Driven Impedance Models for Model-Free Inverters

A Simplified DC-Bias Injection Method for Characterizing Power Magnetics Using a Voltage Mirror Transformer

Neural Network Design for Impedance Modeling of Power Electronic Systems Based on Latent Features

MSC-PoL: Hybrid GaN–Si Multistacked Switched-Capacitor 48-V PwrSiP VRM for Chiplets

Interphase $LC$ Resonance and Stability Analysis of Series-Capacitor Buck Converters

MIPS: Multiphase Integrated Planar Symmetric Coupled Inductor for Ultrathin VRM

Machine Learning Methods for Feedforward Power Flow Control of Multi-Active-Bridge Converters

MagNet-AI: Neural Network as Datasheet for Magnetics Modeling and Material Recommendation

Why MagNet: Quantifying the Complexity of Modeling Power Magnetic Material Characteristics

Analysis and Design of Series Voltage Compensator for Differential Power Processing

Matrix Coupled All-in-One Magnetics for PWM Power Conversion

Vertical Stacked LEGO-PoL CPU Voltage Regulator

Collaborators (10)

Haoran Li

Yang Wu

Xiongfei Wang

Liang Zhao

DRAGAN MAKSIMOVIC

Tuo Zhao

Zichao Zhou

Heng Wu

Lars Nordström

Jun Wang

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