Thomas Guillod

Dartmouth College — United States

Engineering · Physical Sciences

26h-index2.1kcitations65works4.32yr avg
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Research Topics

Silicon Carbide Semiconductor Technologies(26), Advanced DC-DC Converters(19), Magnetic Properties and Applications(15), Multilevel Inverters and Converters(9), Electric Motor Design and Analysis(7)

Publications65 total

Efficiency / Power Density Analysis of Single-Phase and Three-Phase Transformers Employed in DAB and SRC DC/DC Converters
2025
PyPEEC: A 3D Quasi-Magnetostatic Solver using an FFT-Accelerated PEEC Method with Voxelization
The Journal of Open Source Software·2025Open Access
Unified Time Domain Foundation Models for Hysteretic Passive Components
2025
Free-Shape Optimization of VHF Air-Core Inductors using a Constraint-Aware Genetic Algorithm
2025· 2 cited
MagNet Challenge for Data-Driven Power Magnetics Modeling
IEEE Open Journal of Power Electronics·2024· 24 citedOpen Access
Author response for "MagNet Challenge for Data-Driven Power Magnetics Modeling"
2024
A Simplified DC-Bias Injection Method for Characterizing Power Magnetics Using a Voltage Mirror Transformer
IEEE Transactions on Power Electronics·2024· 9 cited
Multi-Material Power Magnetics Modeling with a Modular and Scalable Machine Learning Framework
2024· 2 cited
Characterization and Impact of Large-Signal Dielectric Properties in MnZn Ferrites
2024· 2 cited
New Triple-Output Quad-Active-Bridge DC/DC Converter Employing a Four-Leg Inverter Input Stage
2023· 5 citedOpen Access
How MagNet: Machine Learning Framework for Modeling Power Magnetic Material Characteristics
IEEE Transactions on Power Electronics·2023· 64 citedOpen Access
Why MagNet: Quantifying the Complexity of Modeling Power Magnetic Material Characteristics
IEEE Transactions on Power Electronics·2023· 75 citedOpen Access
A Simplified Dc-Bias Injection Method with Mirror Transformer for Magnetic Material Characterization
2023· 9 cited
Calculation of Ferrite Core Losses with Arbitrary Waveforms using the Composite Waveform Hypothesis
2023· 24 cited
Predicting the B-H Loops of Power Magnetics with Transformer-based Encoder-Projector-Decoder Neural Network Architecture
2023· 17 cited
Calculation of Ferrite Core Losses with Arbitrary Waveforms using the Composite Waveform Hypothesis: Reproducibility Dataset
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
Calculation of Ferrite Core Losses with Arbitrary Waveforms using the Composite Waveform Hypothesis: Reproducibility Dataset
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
Neural Network as Datasheet: Modeling B-H Loops of Power Magnetics with Sequence-to-Sequence LSTM Encoder-Decoder Architecture
2022· 32 cited
MagNet: An Open-Source Database for Data-Driven Magnetic Core Loss Modeling
2022 IEEE Applied Power Electronics Conference and Exposition (APEC)·2022· 63 cited
Geometrical Optimization of Medium-Frequency Air-Core Transformers for DCX Applications
IEEE Journal of Emerging and Selected Topics in Power Electronics·2022· 16 cited
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Frequent Co-authors

Johann W. Kolar(28), Florian Krismer(18), Shukai Wang(10), Charles R. Sullivan(10), Minjie Chen(10), Diego Serrano(8), Haoran Li(8), Jonas Huber(7), Christian M. Franck(7), Daniel Rothmund(6), Panteleimon Papamanolis(6), Min Luo(6), Piotr Czyż(6), Raphael Färber(4), Dominik Bortis(3), Vineet Bansal(3), Yuxin Chen(3), Dominic Gerber(3), J. Biela(3), Niraj K. Jha(2)