MagNet Challenge 2 Award Update

July 13, 2026 · View on GitHub

  • We apologize for the delay of the transfer of the award money to the prize winners. Due to the recent administrative change in IEEE, we are still working with IEEE to finalize the fund transfer to Princeton University. We anticipate to finish this process and start distributing the prize money before the end of the summer. Stay tuned.

MagNet Challenge 2 GitHub

[News #17] APEC MagNet Challenge Activities

[News #16] MagNet Challenge 2 Winners

[News #15] Presentation Sign-Up

  • Feb 9: Princeton, Eindhoven, Hefei, Fuzhou, Southeast1, Tianjin
  • Feb 10: IIT, Hangzhou, UESTC, ASU, Southeast2, Cambridge, AAU1, NITC
  • Feb 11: Gatech, XJTU2, AAU2, SiegenPaderborn, Tsinghua, Zhejiang, NTU2, Bristol
  • Feb 12: Leuven, SAL, Sydney, Mizzou, NTU1, HUST, Tokyo
  • Unconfirmed: FJUT, PolyU, XJTU1

[News #14] Code evaluation starts NOW.

  • Please email us your inference code and make them as compact and as easy to use as possible.
  • 4-Page Report due Jan 30.
  • Please Sign Up for the upcoming four webinars on Feb 9~12.
  • Email us your preferred slot and prepare a 5-min presentation.

[News #13] Preliminary ranking of 32 teams. All submitted results available Here for cross-checking. Let us know if you find any error...

TeamAvg. Seq. Error RankingAvg. Energy Error RankingAvg. Size RankingAvg. 95% Seq. Error [%]Avg. 95% Energy Error [%]Avg. Parameters
Aalborg125271987.1039.67111901
Aalborg221142459.497.36415753
ASU20211454.0820.9218337
Bristol772625.228.40860929
Cambridge1416437.019.241182
Eindhoven431717.712.3881893
FJUT292431279.3743.094447233
Fuzhou221612.421.9163022
Gatech1715138.767.9783
Hangzhou272832166.7745.0813185504
Hefei11109.171.576564
HUST312930239.5638.953063741
IIT11121836.5226.5993876
Leuven12102134.545.37111985
Mizzou18202250.6621.57153462
NITC1092524.854.73347237
NTU1303020293.7861.30108848
NTU22324675.1127.432399
PolyU323228404.84525.891478785
Princeton2319566.8515.891443
SAL1518739.4830.053713
SiegenPaderborn66320.433.41325
Southeast1351514.512.6922197
Southeast2283011248.8866.056913
Sydney911824.635.444777
Tianjin13131332.566.9916391
Tokyo262323800.00800.00185729
Tsinghua542919.932.522177283
UESTC1822951.9521.335202
XJTU1882722.483.641350913
XJTU222262836.8832.5799
Zhejiang15171244.609.3916161

[News #12] We have received final submissions from 32 teams ...

  • Aalborg University 1 (Zhao), Denmark 🇩🇰 🌸 📝 💾
  • Aalborg University 2 (Davari), Denmark 🇩🇰 🌸 📝 💾
  • Arizona State University, USA 🇺🇸 🌸 📝 💾
  • University of Bristol, UK 🇬🇧 🌸 📝 💾
  • University of Cambridge, UK 🇬🇧 🌸 📝 💾
  • Eindhoven University of Technology, Netherland 🇳🇱 🌸 📝
  • Fujian University of Technology, China 🇨🇳 🌸 📝 💾
  • Fuzhou University, China 🇨🇳 🌸 📝 💾
  • Georgia Institute of Technology, USA 🇺🇸 🌸 📝 💾
  • Hangzhou Dianzi University, China 🇨🇳 🌸 📝 💾
  • Hefei University of Technology, China 🇨🇳 🌸 📝 💾
  • Huazhong University of Science and Technology, China 🇨🇳 🌸 📝
  • Indian Institute of Technology Dharwad, India 🇮🇳 🌸 📝 💾
  • KU Leuven, Belgium, 🇧🇪 🌸 📝 💾
  • University of Missouri Columbia, USA 🇺🇸 🌸 📝 💾
  • National Institute of Technology Calicut (Muhammed), India 🇮🇳 🌸 📝 💾
  • Nanyang Technological University 1 (Yang), Singapore 🇸🇬 🌸 📝 💾
  • Nanyang Technological University 2 (Tang), Singapore 🇸🇬 🌸 📝 💾
  • Princeton University, USA 🇺🇸 🌸 (not competing)
  • The Hong Kong Polytechnic University, Hong Kong SAR 🇭🇰 🌸 📝
  • Silicon Austria Labs, Austria 🇦🇹 🌸 📝 💾
  • Seigen & Paderborn, Germany 🇩🇪 🌸 📝 💾
  • Southeast University 1 (Cheng), China 🇨🇳 🌸 📝 💾
  • Southeast University 2 (Xu), China 🇨🇳 🌸 📝 💾
  • Tianjin University, China 🇨🇳 🌸 📝 💾
  • Tsinghua University, China 🇨🇳 🌸 📝 💾
  • Tokyo Metropolitan University, Japan 🇯🇵 🌸 📝 💾
  • University of Sydney, Australia 🇦🇺 🌸 📝 💾
  • University of Electronic Science and Technology of China, China 🇨🇳 🌸 📝 💾
  • Xi'an Jiaotong University 1 (Wei), China 🇨🇳 🌸 📝 💾
  • Xi'an Jiaotong University 2 (Zhu), China 🇨🇳 🌸 📝 💾
  • Zhejiang University, China 🇨🇳 🌸 📝 💾

[News #11] Award Ceremony in APEC 2026

We are planning an Award Ceremony of MagNet Challenge 2 in APEC 2026. Please send an email to pelsmagnet@gmail.com with the following information:

  • Name of your team? XXX
  • Are you on track to submit your final results to us before Jan 15? Yes or No
  • Will your team send one or more representatives to attend the Award Ceremony during APEC? Yes or No
  • How many people (team members, guests, colleagues) do you plan to bring to the award ceremony? Expected Total Number.

We look forward to seeing many of you in San Antonio in March!

[News #10] MagNet Challenge 2 - Final Data Released

Training and testing data released for 5 new materials [A, B, C, D, E]:

  • MagNet Challenge 2 Data under "Final Evaluation"
  • ** We updated the testing data for Material C on Nov. 21. Please use the updated version in Dropbox.**
  • Please note there is a "Template.zip" folder which serves as a template for final submission
  • Final Submission Due January 15th (CSV Results and Num. of Parameters)
  • 4-Page Report Due January 30th (Methods and Code Verification for Winning Teams). Please list the names of your team members in the right order for future acknowledgement
  • Pretest Results: Note the submitted pretest results are self-reported, are not verified and have no influence on the final evaluation, the model parameters are also unknown
  • Please Sign-Up to PELS TC10 as a Member or Student Member (for Free) to support MagNet Challenge

[News #9] MagNet Tutorial 6

  • Tutorial 6 (October 30 10am EST): Video, Slides
  • Present final testing data and rules
  • Final testing data releasing date: November 15th, 2025
  • Optional pre-test evaluation due: November 15th, 2025
  • Final testing result due: January 15th, 2026
  • Final 4-page report due: January 30th, 2026

IEEE PELS International Challenge on Design Methodologies [Prize Pool $60,000]

  • This site provides the latest information about the MagNet Challenge 2.
  • Please contact pelsmagnet@gmail.com for all purposes.
  • Sign-Up to MagNet Challenge 2 before May 1st PDF, extended to May 8th.
  • 2-Page concept proposal due June 1st PDF, DOC, Latex, extended to June 15th.
  • The purpose of the concept proposal is to ensure all teams understand the rules and complete team forming.

[News #8] MagNet Tutorial 5

  • Tutorial 5 (September 12 10am EST): Video, Slides
  • Release new benchmark models, examples, and testing results
  • MagNet Challenge 2025 November Preliminary Test Data Released Pretest

[News #7] Useful Resources

[News #6] MagNet Tutorial Series

[News #5] 40 Teams Confirmed, ✅:Concept Paper, 👍: Pre-test, 🌸: Final

  • Aalborg University (Zhao), Denmark 🇩🇰 ✅ 👍
  • Aalborg University (Davari), Denmark 🇩🇰 ✅ 👍
  • University of Auckland, New Zealand 🇳🇿 ✅
  • Eindhoven University of Technology, Netherland 🇳🇱 ✅
  • Tianjin University, China 🇨🇳 ✅ 👍
  • Xi'an Jiaotong University (Zhu1), China 🇨🇳 ✅
  • Xi'an Jiaotong University (Zhu2), China 🇨🇳 ✅
  • Xi'an Jiaotong University (Wei), China 🇨🇳 ✅ 👍
  • Xi'an Jiaotong University (Chen), China 🇨🇳 ✅
  • Fuzhou University, China 🇨🇳 ✅ 👍
  • Hangzhou Dianzi University, China 🇨🇳 ✅
  • Southeast University (Cheng), China 🇨🇳 ✅ 👍
  • Southeast University (Xu), China 🇨🇳 ✅
  • Tsinghua University, China 🇨🇳 ✅
  • Fujian University of Technology, China 🇨🇳 ✅
  • Hefei University of Technology, China 🇨🇳 ✅
  • Huazhong University of Science and Technology, China 🇨🇳 ✅
  • University of Electronic Science and Technology of China, China 🇨🇳 ✅
  • Zhejiang University, China 🇨🇳 ✅
  • The Hong Kong Polytechnic University, Hong Kong SAR 🇭🇰 ✅
  • Seigen & Paderborn, Germany 🇩🇪 ✅ 👍
  • University of Kassel, Germany 🇩🇪 ✅
  • TU Munich & FU Santa Catarina, Germany & Brazil 🇩🇪 🇧🇷 ✅
  • Leeds & Wuerth Elektronik, UK & Germany 🇬🇧 🇩🇪 ✅
  • KU Leuven, Belgium, 🇧🇪 ✅ 👍
  • University of Bristol, UK 🇬🇧 ✅ 👍
  • University of Cambridge, UK 🇬🇧 ✅
  • Politecnico di Torino, Italy 🇮🇹 ✅
  • Tokyo Metropolitan University, Japan 🇯🇵 ✅
  • Nagoya Institute of Technology, Japan 🇯🇵 ✅
  • Nanyang Technological University (Yang), Singapore 🇸🇬 ✅
  • Nanyang Technological University (Tang), Singapore 🇸🇬 ✅
  • University of Sydney, Australia 🇦🇺 ✅ 👍
  • National Institute of Technology Calicut (Mohan), India 🇮🇳 ✅
  • National Institute of Technology Calicut (Muhammed), India 🇮🇳 ✅
  • Indian Institute of Technology Dharwad, India 🇮🇳 ✅
  • Silicon Austria Labs, Austria 🇦🇹 ✅ 👍
  • Arizona State University, USA 🇺🇸 ✅ 👍
  • University of Missouri Columbia, USA 🇺🇸 ✅
  • Georgia Institute of Technology, USA 🇺🇸 ✅ 👍
  • Princeton University, USA 🇺🇸 (not competing)
  • Dartmouth College, USA 🇺🇸 (not competing)

[News #4] Sponsors Confirmed

  • Nvidia (Top GPUs)
  • Texas Instruments ($5000)
  • Wurth Electronik ($5000)
  • ITG Electronics ($5000)
  • pSemi ($5000)
  • IEEE Power Electronics Society ($35000)
  • Princeton University (as much as needed!)

[News #3] MagNet Challenge 2 - Training Data Release

Training data for 10 materials (the same 10 materials as MagNet Challenge 1):

You may want to reuse the steady-state data from MagNet Challenge 1:

Note:

  • Testing data on 5+ new materials will be released on Nov. 1st;
  • Data sequences are sampled at a fixed rate (16 MHz) in different lengths;
  • Data sequences in different rows are independent from each other;
  • Let us know if you find any problems with the data.

[News #2] MagNet Challenge 2 - APEC Launch

  • Time: 2025-3-19 Wed 2pm EST
  • Atlanta Omni Hotel, Room Grand A

[News #1] MagNet Challenge 2 - Public Launch

Overview

Build upon the success of MagNet Challenge 1, the goal of the MagNet Challenge 2 is to develop intelligent software tools that can learn and predict magnetic characteristics in transient. For each magnetic material of interest, we are looking for a MATLAB or Python function that takes the following three inputs:

  • A pair of B(t) and H(t) waveforms documenting the excitation history from t_0 to t_1;
  • A future flux density excitation wave B’(t) from t_1 to t_2;
  • Temperature: T.

And produce the following one output:

  • The corresponding field strength wave H’(t) from t_1 to t_2 paired with B’(t).

This function should be packaged as: H'(t)=function (B(t),H(t),B'(t),T).

In order to capture the physical behaviors of the magnetic material in transient, the models should be frequency agnostic (no frequency information), time-step agnostic (short or long time-steps), and initial-state agnostic (always converging after a long time). We encourage using the latest stable version of commonly used MATLAB and Python packages. Analytical methods and machine learning methods are both encouraged.

There are intrinsic correlations between the materials behavior in steady-state and in transient. In fact, a model operates well for transient conditions must operate well in steady states. As a result, student teams are encouraged to reuse the data and models made available for the MagNet Challenge 1 in 2023 and leverage the physical and analytical understandings of the models developed for the MagNet Challenge 1 in 2023 for the MagNet Challenge 2 in 2025.

Please refer to the Handbook and Slides for more details.

Timeline

  • 02-14-2025 Initial Call for Participation Announcement Handbook Slides SignUp
  • 03-19-2025 APEC Official Annoucement
  • 04-01-2025 Training Data for 10 Materials Available
  • 05-01-2025 1-Page Letter of Intent Due with Signature
  • 06-01-2025 2-Page Concept Proposal Due PDF DOC Latex
  • 07-01-2025 Notification of Acceptance
  • 08-01-2025 Expert Feedback on the Concept Proposal
  • 11-15-2025 Preliminary Submission Due (postponed to 11-15)
  • 11-15-2025 Testing Data for 5 New Materials Available (postponed to 11-15)
  • 01-15-2026 Final Submission Due (postponed to 01-15)
  • 03-01-2026 Winners Selected

Evaluation

  • 06-15-2025 Evaluate the concept proposals and ensure all teams understand the competition rules.
  • 12-01-2026 Evaluate the 10 models the teams developed for the 10 materials and provide feedback for improvements.
  • 01-15-2026 Evaluate the 5 new models the teams developed for the 5 new materials and announce the winners.

Judge Committee

  • Prof. David Perreault, MIT, USA
  • Prof. Jürgen Biela, ETH Zurich, Switzerland
  • Prof. Dragan Maksimovic, CU Boulder, USA
  • Prof. SY Ron Hui, CityU, Hong Kong
  • Prof. Charles Sullivan, Dartmouth, USA

The judging committee will evaluate the results of each team with the following criterias.

  • Model accuracy: core loss and B-H trajectory prediction accuracy (lower error better)
  • Model size: number of parameters the model needs to store for each material (smaller model better)
  • Model explanability: explanability of the model based on existing physical insights (more explainable better)
  • Model novelty: new concepts or insights presented by the model (newer insights better)
  • Software quality: quality of the software engineering (more concise better)

Discussions

  • Discussion Forum Link

Awards (pending)

  • Model Performance Award, First Place $10,000
  • Model Performance Award, Second Place $5,000
  • Model Novelty Award, First Place $10,000
  • Model Novelty Award, Second Place $5,000
  • Outstanding Software Engineering Award $10,000
  • Honorable Mentions Award multiple x $1,000

Other Resources

Reference Papers

  • S. Wang et al., "Unified Time Domain Foundation Models for Hysteretic Passive Components," in IEEE 26th Workshop on Control and Modeling for Power Electronics (COMPEL), Knoxville, TN, USA, 2025, pp. 1-8, Paper
  • M. Chen, H. Li, S. Wang, T. Guillod, D. Serrano, N. Forster, W. Kirchgassner, T. Piepenbrock, O. Schweins, O. Wallscheid, Q. Huang, Y. Li, Y. Dou, B. Li, S. Li, E. Havugimana, V. T. Chacko, S. Radhakrishnan, M. Ranjram, B. Sauter, S. Reese, S. Sinha, L. Zhang, T. McKeague, B. Cui, N. Rasekh, J. Wang, S. Liu, A. Martinez, X. Liu, C. Mei, R. Zhao, G. Wu, H. Wu, R. Zhang, H. Song, L. Zhang, Y. Lu, L. Hang, N. Rajput, H. B. Sandhibigraha, N. Agrawal, V. M. Iyer, X. Shen, F. Tian, Q. Sui, J. Kong, W. Martinez, A. Arruti, B. Alberdi, A. Agote, I. Aizpuru, M. Zhang, X. Chen, Y. Dong, D. Wang, T. Shen, Y. Zhou, Y. Li, S. Wang, Y. Wu, Y. Jiang, Z. Xiao, Y. Tang, Y.-S. Hsieh, J.-D. Li, L.-C. Yu, T.-C. Hsu, Y.-C. Liu, C.-H. Hsia, C. Chen, A. Giuffrida, N. Lombardo, F. Marmello, S. Morra, M. Pasquale, L. Solimene, C. S. Ragusa, J. Reynvaan, M. Stoiber, C. Li, W. Qin, X. Ma, B. Zhang, Z. Wang, M. Cheng, W. Xu, J. Wang, Y. Hu, J. Xu, Z. Shi, D. B. Sapkota, P. Neupane, M. Joshi, S. Khan, B. Su, Y. Xiao, M. Yang, K. Sun, Z. Li, R. Mirzadarani, R. Liu, L. Wang, T. Luo, D. Lyu, M. G. Niasar, Z. Qin, S. I. A. Meerza, K. Froehle, H. H. Cui, D. Costinett, J. Liu, Z. Liu, C. Zhan, Y. Dang, Y. Zhang, N. Wang, Y. Chen, Y. Zhang, C. Li, Y. Yao, T. Hu, L. Xu, Y. Wang, S. Wang, S. Jiang, D. Shumacher, D. Maksimovic, R. S. Y. Hui, J. W. Kolar, D. J. Perreault, and C. R. Sullivan, "Magnet Challenge for Data-Driven Power Magnetics Modeling," in IEEE Open Journal of Power Electronics, doi: 10.1109/OJPEL.2024.3469916. Paper
  • S. Wang, H. Kwon, H. Li, et al. "MagNetX: Foundation Neural Network Models for Simulating Power Magnetics in Transient," IEEE Applied Power Electronics Conference and Exposition (APEC), Atlanta, GA, USA, 2025, pp. 2438-2445. Paper
  • H. Kwon, S. Wang, H. Li, et al. "MagNetX: Extending the MagNet Database for Modeling Power Magnetics in Transient," IEEE Applied Power Electronics Conference and Exposition (APEC), Atlanta, GA, USA, 2025, pp. 566-572. Paper
  • D. Serrano et al., "Why MagNet: Quantifying the Complexity of Modeling Power Magnetic Material Characteristics," in IEEE Transactions on Power Electronics, doi: 10.1109/TPEL.2023.3291084. Paper
  • H. Li et al., "How MagNet: Machine Learning Framework for Modeling Power Magnetic Material Characteristics," in IEEE Transactions on Power Electronics, doi: 10.1109/TPEL.2023.3309232. Paper
  • H. Li, D. Serrano, S. Wang and M. Chen, "MagNet-AI: Neural Network as Datasheet for Magnetics Modeling and Material Recommendation," in IEEE Transactions on Power Electronics, doi: 10.1109/TPEL.2023.3309233. Paper

Organizers