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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  • News & Events


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  • Internships

    • MD1381: 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

    •  Tian, N., Fang, H., Chen, J., Wang, Y., "Nonlinear Double-Capacitor Model for Rechargeable Batteries: Modeling, Identification and Validation", IEEE Transactions on Control Systems Technology, DOI: 10.1109/TCST.2020.2976036, pp. 1-15, April 2020.
      BibTeX TR2020-035 PDF
      • @article{Tian2020apr,
      • author = {Tian, Ning and Fang, Huazhen and Chen, Jian and Wang, Yebin},
      • title = {Nonlinear Double-Capacitor Model for Rechargeable Batteries: Modeling, Identification and Validation},
      • journal = {IEEE Transactions on Control Systems Technology},
      • year = 2020,
      • pages = {1--15},
      • month = apr,
      • doi = {10.1109/TCST.2020.2976036},
      • url = {https://www.merl.com/publications/TR2020-035}
      • }
    •  Kojima, K., TaherSima, M., Koike-Akino, T., Jha, D., Tang, Y., Parsons, K., Sang, F., Klamkin, J., "Deep Neural Networks for Designing Integrated Photonics", Optical Fiber Communication Conference and Exposition (OFC), DOI: https://doi.org/10.1364/OFC.2020.Th1A.6, March 2020.
      BibTeX TR2020-057 PDF
      • @inproceedings{Kojima2020mar,
      • author = {Kojima, Keisuke and TaherSima, Mohammad and Koike-Akino, Toshiaki and Jha, Devesh and Tang, Yingheng and Parsons, Kieran and Sang, Fengqiao and Klamkin, Jonathan},
      • title = {Deep Neural Networks for Designing Integrated Photonics},
      • booktitle = {Optical Fiber Communication Conference and Exposition (OFC)},
      • year = 2020,
      • month = mar,
      • publisher = {OSA},
      • doi = {https://doi.org/10.1364/OFC.2020.Th1A.6},
      • isbn = {978-1-943580-71-2},
      • url = {https://www.merl.com/publications/TR2020-057}
      • }
    •  Lin, C., Sels, D., Wang, Y., "Time-optimal Control of a Dissipative Qubit", Physical Review, DOI: 10.1103/PhysRevA.101.022320, Vol. 101, No. 2, pp. 022320, February 2020.
      BibTeX TR2020-023 PDF
      • @article{Lin2020feb,
      • author = {Lin, Chungwei and Sels, Dries and Wang, Yebin},
      • title = {Time-optimal Control of a Dissipative Qubit},
      • journal = {Physical Review},
      • year = 2020,
      • volume = 101,
      • number = 2,
      • pages = 022320,
      • month = feb,
      • doi = {10.1103/PhysRevA.101.022320},
      • url = {https://www.merl.com/publications/TR2020-023}
      • }
    •  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 TR2019-160 PDF
      • @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 TR2019-161 PDF
      • @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 TR2019-128 PDF
      • @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 (IECON), DOI: 10.1109/IECON.2019.8927182, October 2019, pp. 1234-1241.
      BibTeX TR2019-122 PDF
      • @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 = {Annual Conference of the IEEE Industrial Electronics Society (IECON)},
      • year = 2019,
      • pages = {1234--1241},
      • month = oct,
      • doi = {10.1109/IECON.2019.8927182},
      • issn = {1553-572X},
      • url = {https://www.merl.com/publications/TR2019-122}
      • }
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