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

    • SP1475: Advanced Signal Processing for Metasurface

      MERL is seeking a highly motivated, qualified intern to join an internship program. The ideal candidate will be expected to carry out research on Advanced Signal Processing for Metasurface. The candidate is expected to develop innovative signal processing for metasurface aided various applications. Candidates should have strong knowledge about electromagnetic field analysis for metasurface, passive beamforming, interference mitigation, and channel estimation. Proficient programming skills with Python, MATLAB, and C++, and strong mathematical analysis will be additional assets to this position. Candidates in their junior or senior years of a Ph.D. program are encouraged to apply. The expected duration of the internship is 3-6 months, with a flexible start date in 2020. This internship is preferred to be onsite at MERL, but may be done remotely where you live if the COVID pandemic makes it necessary.

    • DA1602: Reinforcement Learning for HVAC systems

      MERL is looking for a self-motivated and qualified candidate to work on air flow control of Heating, Ventilation and Air Conditioning (HVAC) systems. The ideal candidate is a PhD student and should have experience and records in multiple of the following areas: fluid dynamics, control theory, reinforcement learning, familiarity with partial differential equations. Proficiency in Python and Matlab is required. The successful candidate will be expected to develop, in collaboration with MERL employees, a state of the art algorithms for air flow control that will lead to a scientific publication. Typical internship length is 3 months. This internship is preferred to be onsite at MERL, but may be done remotely where you live if the COVID pandemic makes it necessary.

    • 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

    •  Lin, C., Sels, D., Ma, Y., Wang, Y., "Stochastic optimal control formalism for an open quantum system", Physical Review, DOI: 10.1103/PhysRevA.102.052605, Vol. 102, pp. 052605, December 2020.
      BibTeX TR2020-163 PDF
      • @article{Lin2020dec,
      • author = {Lin, Chungwei and Sels, Dries and Ma, Yanting and Wang, Yebin},
      • title = {Stochastic optimal control formalism for an open quantum system},
      • journal = {Physical Review},
      • year = 2020,
      • volume = 102,
      • pages = 052605,
      • month = dec,
      • doi = {10.1103/PhysRevA.102.052605},
      • url = {https://www.merl.com/publications/TR2020-163}
      • }
    •  Teo, K.H., Chowdhury, N., Zhang, Y., Palacios, T., Yamanaka, K., Yamaguchi, Y., "Recent Development in 2D and 3D GaN devices for RF and Power Electronics Applications", IEEE International Symposium on Radio-Frequency Integration Technology (RFIT), November 2020.
      BibTeX TR2020-162 PDF
      • @inproceedings{Teo2020nov,
      • author = {Teo, Koon Hoo and Chowdhury, Nadim and Zhang, Yuhao and Palacios, Tomas and Yamanaka, Koji and Yamaguchi, Yutaro},
      • title = {Recent Development in 2D and 3D GaN devices for RF and Power Electronics Applications},
      • booktitle = {IEEE International Symposium on Radio-Frequency Integration Technology (RFIT)},
      • year = 2020,
      • month = nov,
      • url = {https://www.merl.com/publications/TR2020-162}
      • }
    •  Shin, K.-H., Wang, B., "Semi-Analytical Modeling for Interior Permanent Magnet Synchronous Machines Considering Permeability of Rotor Core", International Conference on Electrical Machines and Systems (ICEMS), DOI: 10.23919/ICEMS50442.2020.9291153, November 2020, pp. 19-22.
      BibTeX TR2020-149 PDF
      • @inproceedings{Shin2020nov,
      • author = {Shin, Kyung-Hun and Wang, Bingnan},
      • title = {Semi-Analytical Modeling for Interior Permanent Magnet Synchronous Machines Considering Permeability of Rotor Core},
      • booktitle = {2020 23rd International Conference on Electrical Machines and Systems (ICEMS)},
      • year = 2020,
      • pages = {19--22},
      • month = nov,
      • doi = {10.23919/ICEMS50442.2020.9291153},
      • url = {https://www.merl.com/publications/TR2020-149}
      • }
    •  Wang, B., Hotta, A., "Contactless Eddy Current Sensing for Carbon Fiber Reinforced Polymer Defect Detection", Biennial IEEE Conference on Electromagnetic Field Computation (CEFC), November 2020.
      BibTeX TR2020-148 PDF
      • @inproceedings{Wang2020nov2,
      • author = {Wang, Bingnan and Hotta, Akira},
      • title = {Contactless Eddy Current Sensing for Carbon Fiber Reinforced Polymer Defect Detection},
      • booktitle = {Biennial IEEE Conference on Electromagnetic Field Computation (CEFC)},
      • year = 2020,
      • month = nov,
      • url = {https://www.merl.com/publications/TR2020-148}
      • }
    •  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: 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 = {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}
      • }
    •  Teo, K.H., "Ferroelectric memory field-effect transistors using CVD monolayer MoS2 as resistive switching channel", Applied Physics Letters, DOI: 10.1063/1.5129963, Vol. Appl. Phys. Lett. 116, January 2020.
      BibTeX TR2020-012 PDF
      • @article{Teo2020jan,
      • author = {Teo, Koon Hoo},
      • title = {Ferroelectric memory field-effect transistors using CVD monolayer MoS2 as resistive switching channel},
      • journal = {Applied Physics Letters},
      • year = 2020,
      • volume = {Appl. Phys. Lett. 116},
      • month = jan,
      • doi = {10.1063/1.5129963},
      • url = {https://www.merl.com/publications/TR2020-012}
      • }
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