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.

  • Researchers

  • News & Events


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  • Internships

    • MP1263: Fault analysis for electric motors

      MERL is seeking a highly motivated intern to conduct research in electric machine fault analysis. The ideal candidate should be a senior Ph. D student in Electrical Engineering or related discipline with a solid background in the physics and engineering of electric motors, and early fault detection. Knowledge and experience in electric motor modeling and machine learning are desired. The candidate is expected to collaborate with MERL researchers to conduct theoretical analysis, numerical simulations, develop algorithms and prepare manuscripts for scientific publications. The duration of internship is expected to be 3 months and start date is flexible.

    • MP1381: Electric Motor Design

      MERL is seeking a motivated and qualified individual to conduct research in design, modeling, and simulation of electrical machines. The ideal candidate should have solid backgrounds in modeling (including model reduction)/co-simulation of electromagnetics and thermal dynamics of electrical machines, and demonstrated capability to publish results in leading conferences/journals. Experience with ANSYS, COMSOL, and real-time control experiments involving motor drives is a strong plus. Senior Ph.D. students in electrical or mechanical engineering are encouraged to apply. Start date for this internship is flexible and the duration is about 3-6 months.


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  • Recent Publications

    •  Li, K., Teo, K.H., "Gate Leakage Mechanisms and Modeling in GaN based High Electron Mobility Transistors – Literature Survey," Tech. Rep. TR2019-160, Mitsubishi Electric Research Laboratories, December 2019.
      BibTeX Download PDFAbout TR2019-160
      • @techreport{Li2019sep,
      • author = {Li, Kexin and Teo, Koon Hoo},
      • title = {Gate Leakage Mechanisms and Modeling in GaN based High Electron Mobility Transistors – Literature Survey},
      • institution = {Mitsubishi Electric Research Laboratories},
      • year = 2019,
      • month = dec,
      • url = {https://www.merl.com/publications/TR2019-160}
      • }
    •  Teo, K.H., "Report on ISPSD 2019," Tech. Rep. TR2019-161, Mitsubishi Electric Research Laboratories, December 2019.
      BibTeX Download PDFAbout TR2019-161
      • @techreport{Teo2019dec,
      • author = {Teo, Koo Hoo},
      • title = {Report on ISPSD 2019},
      • institution = {Mitsubishi Electric Research Laboratories},
      • year = 2019,
      • month = dec,
      • url = {https://www.merl.com/publications/TR2019-161}
      • }
    •  Paul, S., van Baar, J., Roy-Chowdhury, A.K., "Learning from Trajectories via Subgoal Discovery", Advances in Neural Information Processing Systems (NeurIPS), pp. 8409-8419, October 2019.
      BibTeX Download PDFAbout TR2019-128
      • @article{Paul2019oct,
      • author = {Paul, Sujoy and van Baar, Jeroen and Roy-Chowdhury, Amit K.},
      • title = {Learning from Trajectories via Subgoal Discovery},
      • journal = {Advances in Neural Information Processing Systems (NeurIPS)},
      • year = 2019,
      • pages = {8409--8419},
      • month = oct,
      • url = {https://www.merl.com/publications/TR2019-128}
      • }
    •  Ma, T., Komatsu, T., Wang, B., Wang, Y., Lin, C., "Observer Designs for Simultaneous Temperature and Loss Estimation for Electric Motors: A Comparative Study", Annual Conference of the IEEE Industrial Electronics Society (IES), DOI: 10.1109/IECON.2019.8927182, ISSN: 1553-572X, October 2019, pp. 1234-1241.
      BibTeX Download PDFAbout TR2019-122
      • @inproceedings{Ma2019oct,
      • author = {Ma, Tong and Komatsu, Taiga and Wang, Bingnan and Wang, Yebin and Lin, Chungwei},
      • title = {Observer Designs for Simultaneous Temperature and Loss Estimation for Electric Motors: A Comparative Study},
      • booktitle = {IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society},
      • year = 2019,
      • pages = {1234--1241},
      • month = oct,
      • doi = {10.1109/IECON.2019.8927182},
      • issn = {1553-572X},
      • url = {https://www.merl.com/publications/TR2019-122}
      • }
    •  Lin, C., Wang, Y., Kolesov, G., Kalabić, U., "Application of Pontryagin’s Minimum Principle to Grover’s Quantum Search Problem", Physical Review, DOI: 10.1103/PhysRevA.100.022327, Vol. 100, No. 2, August 2019.
      BibTeX Download PDFAbout TR2019-087
      • @article{Lin2019aug,
      • author = {Lin, Chungwei and Wang, Yebin and Kolesov, Grigory and Kalabić, Uroš},
      • title = {Application of Pontryagin’s Minimum Principle to Grover’s Quantum Search Problem},
      • journal = {Physical Review},
      • year = 2019,
      • volume = 100,
      • number = 2,
      • month = aug,
      • doi = {10.1103/PhysRevA.100.022327},
      • url = {https://www.merl.com/publications/TR2019-087}
      • }
    •  Matsumine, T., Koike-Akino, T., Wang, Y., "Channel Decoding with Quantum Approximate Optimization Algorithm", IEEE International Symposium on Information Theory (ISIT), DOI: 10.1109/ISIT.2019.8849710, ISSN: 2157-8117, ISBN: 978-1-5386-9291-2, July 2019.
      BibTeX Download PDFAbout TR2019-071
      • @inproceedings{Matsumine2019jul,
      • author = {Matsumine, Toshiki and Koike-Akino, Toshiaki and Wang, Ye},
      • title = {Channel Decoding with Quantum Approximate Optimization Algorithm},
      • booktitle = {IEEE International Symposium on Information Theory (ISIT)},
      • year = 2019,
      • month = jul,
      • doi = {10.1109/ISIT.2019.8849710},
      • issn = {2157-8117},
      • isbn = {978-1-5386-9291-2},
      • url = {https://www.merl.com/publications/TR2019-071}
      • }
    •  Tian, N., Fang, H., Wang, Y., "Parameter Identification of the Nonlinear Double-Capacitor Model for Lithium-Ion Batteries: From the Wiener Perspective", American Control Conference (ACC), DOI: 10.23919/ACC.2019.8814957, July 2019, pp. 897-902.
      BibTeX Download PDFAbout TR2019-065
      • @inproceedings{Tian2019jul,
      • author = {Tian, Ning and Fang, Huazhen and Wang, Yebin},
      • title = {Parameter Identification of the Nonlinear Double-Capacitor Model for Lithium-Ion Batteries: From the Wiener Perspective},
      • booktitle = {American Control Conference (ACC)},
      • year = 2019,
      • pages = {897--902},
      • month = jul,
      • doi = {10.23919/ACC.2019.8814957},
      • url = {https://www.merl.com/publications/TR2019-065}
      • }
    •  Brand, M.E., Birch, D.A., "Data-driven freeform irradiance tailoring", OSA Optical Design and Fabrication Congress, ISSN: 978-1-943580-60-6, June 2019.
      BibTeX Download PDFAbout TR2019-043
      • @inproceedings{Brand2019jun,
      • author = {Brand, Matthew E. and Birch, Daniel A.},
      • title = {Data-driven freeform irradiance tailoring},
      • booktitle = {OSA Optical Design and Fabrication Congress},
      • year = 2019,
      • month = jun,
      • issn = {978-1-943580-60-6},
      • url = {https://www.merl.com/publications/TR2019-043}
      • }
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