MERL - Mitsubishi Electric Research Laboratories

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Electronic and Photonic Devices

Pursuing theoretical and experimental research for next generation devices.

We explore various device technologies, material science and device architectures to dramatically improve power and RF device performance to achieve higher efficiency, high linearity and much wider frequency band. We develop novel photonic integrated circuits to improve performance and reduce cost in optical communications applications.

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  • News & Events


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  • Internships

    • SP1504: Coherent Imaging Systems

      MERL is seeking an intern to work on coherent optical imaging. The ideal candidate would be an experienced PhD student or post-graduate researcher working in coherent imaging. The candidate should have a detailed knowledge of optical interferometry and imaging with a focus on either optical coherence tomography, optical coherence microscopy or FMCW LIDAR. Strong programming skills in MATLAB are essential. Experience of working in an optical lab environment is a required. Duration is 3 to 6 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.

    • MD1561: Desgn and fabrication of power devices in power electronics or RF

      MERL is seeking a highly motivated, qualified individual to join our 3-month internship program to carry out research in the area of power electronics and RF semiconductors devices. The ideal candidate should have a significant background in the simulation and design of a 2D and 3D GaN devices using Matlab and TCAD. Proficiency in device semiconductor modeling or hands-on experience in GaN device fabrication processes and a deep knowledge of negative capacitance would be a great asset. Candidates who hold a PhD or in their senior years of a Ph.D. program are encouraged to apply. This internship is preferred to be onsite at MERL, but may be done remotely where you live if the COVID pandemic makes it necessary.

    • SP1513: Designing and optimizing photonic devices using deep learning

      MERL is seeking a highly motivated, qualified individual to join our internship program and conduct research in the area of photonic and nanophotonic device design and optimization using deep learning. The ideal candidate should have a strong background in the simulation (such as Lumerical FDTD), design, and testing of devices for optical communications and/or optical computing, as well as hands-on experience in deep learning (such as autoencoders and GANs using Tensorflow/Keras/PyTorch). Experience in silicon photonics, photonic crystal, plasmonicss, metasurface optics, optimization algorithms, machine learning, quantum computing, photonic device fabrication/measurements, and mask designs for InP and silicon photonic MPW would be considered an asset. Candidates who hold a Ph.D. or in their senior years of a Ph.D. program are encouraged to apply.


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  • Recent Publications

    •  Kojima, K., TaherSima, M., Koike-Akino, T., Jha, D., Tang, Y., Wang, Y., Parsons, K., "Deep Neural Networks for Inverse Design of Nanophotonic Devices", IEEE Journal of Lightwave Technology, January 2021.
      BibTeX TR2021-001 PDF
      • @article{Kojima2021jan,
      • author = {Kojima, Keisuke and TaherSima, Mohammad and Koike-Akino, Toshiaki and Jha, Devesh and Tang, Yingheng and Wang, Ye and Parsons, Kieran},
      • title = {Deep Neural Networks for Inverse Design of Nanophotonic Devices},
      • journal = {IEEE Journal of Lightwave Technology},
      • year = 2021,
      • month = jan,
      • url = {https://www.merl.com/publications/TR2021-001}
      • }
    •  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}
      • }
    •  Atalar, O., Millar, D.S., Wang, P., Koike-Akino, T., Kojima, K., Orlik, P.V., Parsons, K., "Spectrally sparse optical coherence tomography", Optics Express, DOI: 10.1364/OE.409539, Vol. 28, No. 25, pp. 37798-37810, October 2020.
      BibTeX TR2020-156 PDF
      • @article{Atalar2020oct,
      • author = {Atalar, Okan and Millar, David S. and Wang, Pu and Koike-Akino, Toshiaki and Kojima, Keisuke and Orlik, Philip V. and Parsons, Kieran},
      • title = {Spectrally sparse optical coherence tomography},
      • journal = {Optics Express},
      • year = 2020,
      • volume = 28,
      • number = 25,
      • pages = {37798--37810},
      • month = oct,
      • doi = {10.1364/OE.409539},
      • url = {https://www.merl.com/publications/TR2020-156}
      • }
    •  Kojima, K., Tang, Y., Koike-Akino, T., Wang, Y., Jha, D., Parsons, K., TaherSima, M., Sang, F., Klamkin, J., Qi, M., "Inverse Design of Nanophotonic Devices using Deep Neural Networks", Asia Communications and Photonics Conference (ACP), September 2020, pp. Su1A.1.
      BibTeX TR2020-130 PDF Video
      • @inproceedings{Kojima2020sep,
      • author = {Kojima, Keisuke and Tang, Yingheng and Koike-Akino, Toshiaki and Wang, Ye and Jha, Devesh and Parsons, Kieran and TaherSima, Mohammad and Sang, Fengqiao and Klamkin, Jonathan and Qi, Minghao},
      • title = {Inverse Design of Nanophotonic Devices using Deep Neural Networks},
      • booktitle = {Asia Communications and Photonics Conference (ACP)},
      • year = 2020,
      • pages = {Su1A.1},
      • month = sep,
      • publisher = {Optical Society of America},
      • isbn = {978-1-943580-82-8},
      • url = {https://www.merl.com/publications/TR2020-130}
      • }
    •  Skvortcov, P., Phillips, I., Forysiak, W., Koike-Akino, T., Kojima, K., Parsons, K., Millar, D.S., "Nonlinearity Tolerant LUT-based Probabilistic Shaping for Extended-Reach Single-Span Links", IEEE Photonics Technology Letters, DOI: 10.1109/LPT.2020.3006737, Vol. 32, No. 16, pp. 967-970, July 2020.
      BibTeX TR2020-107 PDF
      • @article{Skvortcov2020jul,
      • author = {Skvortcov, Pavel and Phillips, Ian and Forysiak, Wladek and Koike-Akino, Toshiaki and Kojima, Keisuke and Parsons, Kieran and Millar, David S.},
      • title = {Nonlinearity Tolerant LUT-based Probabilistic Shaping for Extended-Reach Single-Span Links},
      • journal = {IEEE Photonics Technology Letters},
      • year = 2020,
      • volume = 32,
      • number = 16,
      • pages = {967--970},
      • month = jul,
      • doi = {10.1109/LPT.2020.3006737},
      • issn = {1941-0174},
      • url = {https://www.merl.com/publications/TR2020-107}
      • }
    •  Komatsuszaki, Y., Ma, R., Sakata, S., Nakatani, K., Shinjo, S., "A Dual-Mode Bias Circuit Enabled GaN Doherty Amplifier Operating in 0.85-2.05GHz and 2.4-4.2GHz", IEEE International Microwave Symposium (IMS), DOI: 10.1109/IMS30576.2020.9223999, June 2020, pp. 277-280.
      BibTeX TR2020-080 PDF
      • @inproceedings{Komatsuszaki2020jun,
      • author = {Komatsuszaki, Yuji and Ma, Rui and Sakata, Shuichi and Nakatani, Keigo and Shinjo, Shintaro},
      • title = {A Dual-Mode Bias Circuit Enabled GaN Doherty Amplifier Operating in 0.85-2.05GHz and 2.4-4.2GHz},
      • booktitle = {IEEE International Microwave Symposium (IMS)},
      • year = 2020,
      • pages = {277--280},
      • month = jun,
      • publisher = {IEEE},
      • doi = {10.1109/IMS30576.2020.9223999},
      • issn = {2576-7216},
      • isbn = {978-1-7281-6815-9},
      • url = {https://www.merl.com/publications/TR2020-080}
      • }
    •  Sakata, S., Kato, K., Teranishi, E., Sugitani, T., Ma, R., Chuang, K., Wu, Y., Fukunaga, K., Komatsuszaki, Y., Kenichi, H., Yamanaka, K., Shinjo, S., "A Fully-Integrated GaN Doherty Power Amplifier Module with a Compact Frequency-Dependent Compensation Circuit for 5G massive MIMO Base Stations", IEEE International Microwave Symposium (IMS), DOI: 10.1109/IMS30576.2020.9223897, June 2020, pp. 711-714.
      BibTeX TR2020-077 PDF
      • @inproceedings{Sakata2020jun,
      • author = {Sakata, Shuichi and Kato, Katsuya and Teranishi, Eri and Sugitani, Takumi and Ma, Rui and Chuang, Kevin and Wu, Yuchen and Fukunaga, Kei and Komatsuszaki, Yuji and Kenichi, Horiguchi and Yamanaka, Koji and Shinjo, Shintaro},
      • title = {A Fully-Integrated GaN Doherty Power Amplifier Module with a Compact Frequency-Dependent Compensation Circuit for 5G massive MIMO Base Stations},
      • booktitle = {IEEE International Microwave Symposium (IMS)},
      • year = 2020,
      • pages = {711--714},
      • month = jun,
      • publisher = {IEEE},
      • doi = {10.1109/IMS30576.2020.9223897},
      • issn = {2576-7216},
      • isbn = {978-1-7281-6816-6},
      • url = {https://www.merl.com/publications/TR2020-077}
      • }
    •  Sravan Kumar, P., Ma, R., "Design Considerations and FPGA Implementation of a Wideband All-Digital Transmit Beamformer with 50% Fractional Bandwidth", IEEE International Microwave Symposium (IMS), DOI: 10.1109/IMS30576.2020.9223888, June 2020, pp. 1073-1076.
      BibTeX TR2020-078 PDF
      • @inproceedings{SravanKumar2020jun,
      • author = {Sravan Kumar, Pulipati and Ma, Rui},
      • title = {Design Considerations and FPGA Implementation of a Wideband All-Digital Transmit Beamformer with 50% Fractional Bandwidth},
      • booktitle = {IEEE International Microwave Symposium (IMS)},
      • year = 2020,
      • pages = {1073--1076},
      • month = jun,
      • publisher = {IEEE},
      • doi = {10.1109/IMS30576.2020.9223888},
      • issn = {2576-7216},
      • isbn = {978-1-7281-6815-9},
      • url = {https://www.merl.com/publications/TR2020-078}
      • }
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  • Videos