Applied Physics
From first-principles modeling to device designs.
Our research in this area uses physics to develop new technologies or solve an engineering problem, including optimal design of freeform optics, metamaterials, photonic and solid-state semiconductor devices; the modeling and analysis of electro-magnetic systems and studies on superconductivity and magnets.
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Researchers
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Awards
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AWARD Best Paper Award at SDEMPED 2023 Date: August 30, 2023
Awarded to: Bingnan Wang, Hiroshi Inoue, and Makoto Kanemaru
MERL Contact: Bingnan Wang
Research Areas: Applied Physics, Data Analytics, Multi-Physical ModelingBrief- MERL and Mitsubishi Electric's paper titled “Motor Eccentricity Fault Detection: Physics-Based and Data-Driven Approaches” was awarded one of three best paper awards at the 14th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED 2023). MERL Senior Principal Research Scientist Bingnan Wang presented the paper and received the award at the symposium. Co-authors of the paper include Mitsubishi Electric researchers Hiroshi Inoue and Makoto Kanemaru.
SDEMPED was established as the only international symposium entirely devoted to the diagnostics of electrical machines, power electronics and drives. It is now a regular biennial event. The 14th version, SDEMPED 2023 was held in Chania, Greece from August 28th to 31st, 2023.
- MERL and Mitsubishi Electric's paper titled “Motor Eccentricity Fault Detection: Physics-Based and Data-Driven Approaches” was awarded one of three best paper awards at the 14th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED 2023). MERL Senior Principal Research Scientist Bingnan Wang presented the paper and received the award at the symposium. Co-authors of the paper include Mitsubishi Electric researchers Hiroshi Inoue and Makoto Kanemaru.
See All Awards for MERL -
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News & Events
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NEWS Ankush Chakrabarty co-organized three sessions at the ACC2023, and was nominated for Best Energy Systems Paper. Date: June 30, 2023 - June 2, 2023
Where: San Diego, CA
MERL Contact: Ankush Chakrabarty
Research Areas: Applied Physics, Artificial Intelligence, Control, Data Analytics, Dynamical Systems, Machine Learning, Multi-Physical Modeling, Optimization, RoboticsBrief- Ankush Chakrabarty (researcher, Multiphysical Systems Team) co-organized and spoke at 3 sessions at the 2023 American Control Conference in San Diego, CA. These include: (1) A tutorial session (w/ Stefano Di Cairano) on "Physics Informed Machine Learning for Modeling and Control": an effort with contributions from multiple academic institutes and US research labs; (2) An invited session on "Energy Efficiency in Smart Buildings and Cities" in which his paper (w/ Chris Laughman) on "Local Search Region Constrained Bayesian Optimization for Performance Optimization of Vapor Compression Systems" was nominated for Best Energy Systems Paper Award; and, (3) A special session on Diversity, Equity, and Inclusion to improve recruitment and retention of underrepresented groups in STEM research.
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NEWS MERL researchers presented four papers and organized a special session at The 14th IEEE International Electric Machines and Drives Conference Date: May 15, 2023 - May 18, 2023
Where: San Francisco, CA
MERL Contacts: Dehong Liu; Bingnan Wang
Research Areas: Applied Physics, Control, Electric Systems, Machine Learning, Optimization, Signal ProcessingBrief- MERL researchers Yusuke Sakamoto, Anantaram Varatharajan, and
Bingnan Wang presented four papers at IEMDC 2023 held May 15-18 in San Francisco, CA. The topics of the four oral presentations range from electric machine design optimization, to fault detection and sensorless control. Bingnan Wang organized a special session at the conference entitled: Learning-based Electric Machine Design and Optimization. Bingnan Wang and Yusuke Sakamoto together chaired the special session, as well as a session on: Condition Monitoring, Fault Diagnosis and Prognosis.
The 14th IEEE International Electric Machines and Drives Conference: IEMDC 2023, is one of the major conferences in the area of electric machines and drives. The conference was established in 1997 and has taken place every two years thereafter.
- MERL researchers Yusuke Sakamoto, Anantaram Varatharajan, and
See All News & Events for Applied Physics -
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Internships
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EA2050: Electric Motor Design and Electromagnetic Analysis
MERL is seeing a motivated and qualified individual to conduct research on electric motor design and modeling, with a strong focus on electromagnetic analysis. Ideal candidates should be Ph.D. students with solid background and publication record in one more research area on electric machines: electric and magnetic modeling, new machine design and prototyping, harmonic analysis, fault detection, and predictive maintenance. Research experiences on modeling and analysis of electric machines and fault diagnosis are required. Hands-on experience with new motor design and data analysis techniques are highly desirable. Start date for this internship is flexible and the duration is 3-6 months.
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Recent Publications
- , "Scene depths from a two-polarization metalens", Optica Imaging Congress / Flat Optics, August 2023.BibTeX TR2023-105 PDF
- @inproceedings{Brand2023aug,
- author = {Brand, Matthew and Kuang, Zeyu},
- title = {Scene depths from a two-polarization metalens},
- booktitle = {Optica Imaging Congress / Flat Optics},
- year = 2023,
- month = aug,
- url = {https://www.merl.com/publications/TR2023-105}
- }
- , "Comparison of Learning-based Surrogate Models for Electric Motors", Conference on the Computation of Electromagnetic Fields (COMPUMAG), May 2023.BibTeX TR2023-042 PDF
- @inproceedings{Xu2023may,
- author = {Xu, Yihao and Wang, Bingnan and Sakamoto, Yusuke and Yamamoto, Tatsuya and Nishimura, Yuki},
- title = {Comparison of Learning-based Surrogate Models for Electric Motors},
- booktitle = {Conference on the Computation of Electromagnetic Fields (COMPUMAG)},
- year = 2023,
- month = may,
- url = {https://www.merl.com/publications/TR2023-042}
- }
- , "Multi-Objective Motor Design Optimization with Physics-Assisted Neural Network Model", IEEE International Electric Machines and Drives Conference (IEMDC), May 2023.BibTeX TR2023-038 PDF
- @inproceedings{Sakamoto2023may,
- author = {Sakamoto, Yusuke and Xu, Yihao and Wang, Bingnan and Yamamoto, Tatsuya and Nishimura, Yuki},
- title = {Multi-Objective Motor Design Optimization with Physics-Assisted Neural Network Model},
- booktitle = {IEEE International Electric Machines and Drives Conference (IEMDC)},
- year = 2023,
- month = may,
- url = {https://www.merl.com/publications/TR2023-038}
- }
- , "Tandem Neural Networks for Electric Machine Inverse Design", IEEE International Electric Machines and Drives Conference (IEMDC), May 2023.BibTeX TR2023-040 PDF
- @inproceedings{Xu2023may2,
- author = {Xu, Yihao and Wang, Bingnan and Sakamoto, Yusuke and Yamamoto, Tatsuya and Nishimura, Yuki and Koike-Akino, Toshiaki and Wang, Ye},
- title = {Tandem Neural Networks for Electric Machine Inverse Design},
- booktitle = {IEEE International Electric Machines and Drives Conference (IEMDC)},
- year = 2023,
- month = may,
- url = {https://www.merl.com/publications/TR2023-040}
- }
- , "Deep Born Operator Learning for Reflection Tomographic Imaging", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2023.BibTeX TR2023-029 PDF Data
- @inproceedings{Zhao2023may,
- author = {Zhao, Qingqing and Ma, Yanting and Boufounos, Petros T. and Nabi, Saleh and Mansour, Hassan},
- title = {Deep Born Operator Learning for Reflection Tomographic Imaging},
- booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
- year = 2023,
- month = may,
- url = {https://www.merl.com/publications/TR2023-029}
- }
- , "Analytical Parametrization for Magnetization of Gadolinium based on Scaling Hypothesis", Physica A, DOI: 10.1016/j.physa.2023.128686, Vol. 617, pp. 128686, April 2023.BibTeX TR2023-015 PDF
- @article{Lin2023apr,
- author = {Lin, Chungwei},
- title = {Analytical Parametrization for Magnetization of Gadolinium based on Scaling Hypothesis},
- journal = {Physica A},
- year = 2023,
- volume = 617,
- pages = 128686,
- month = apr,
- doi = {10.1016/j.physa.2023.128686},
- issn = {0378-4371},
- url = {https://www.merl.com/publications/TR2023-015}
- }
- , "Summary Report of International Electron Device Meeting (IEDM) 2022," Tech. Rep. TR2023-013, Mitsubishi Electric Research Laboratories, March 2023.BibTeX TR2023-013 PDF
- @techreport{Teo2023mar,
- author = {Teo, Koon Hoo},
- title = {Summary Report of International Electron Device Meeting (IEDM) 2022},
- institution = {MERL website},
- year = 2023,
- month = mar,
- url = {https://www.merl.com/publications/TR2023-013}
- }
- , "Magnetic Cooling with Thin Peltier Modules as Thermal Switches", Journal of Magnetism and Magnetic Materials, DOI: 10.1016/j.jmmm.2023.170482, Vol. 570, pp. 170482, February 2023.BibTeX TR2023-006 PDF
- @article{Lin2023feb,
- author = {Lin, Chungwei},
- title = {Magnetic Cooling with Thin Peltier Modules as Thermal Switches},
- journal = {Journal of Magnetism and Magnetic Materials},
- year = 2023,
- volume = 570,
- pages = 170482,
- month = feb,
- doi = {10.1016/j.jmmm.2023.170482},
- issn = {0304-8853},
- url = {https://www.merl.com/publications/TR2023-006}
- }
- , "Scene depths from a two-polarization metalens", Optica Imaging Congress / Flat Optics, August 2023.
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Videos
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[MERL Seminar Series Spring 2023] A Beginner’s Guide to Quantum Sensing Illustrated with Nitrogen Vacancy Centers in Diamond
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On-orbit 3D Printing Technology for Fabrication of Satellite Antennas
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[MERL Seminar Series Spring 2022] Analog CMOS Computing Chips for Fast and Energy-Efficient Solution of PDE Systems
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[MERL Seminar Series Spring 2022] Extreme optics design as a large-scale optimization problem
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[MERL Seminar Series 2021] Use the [Magnetic] Force for Good: Sustainability Through Magnetic Levitation
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Wireless Power Transfer based on Metamaterials
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Freeform Optics
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Downloads
