Chungwei Lin

Chungwei Lin
  • Biography

    Before joining MERL as a visiting member research staff, Chungwei was a postdoctoral researcher in the Physics Department of the University of Texas at Austin. He has worked on transition metal oxides including manganites and titanates. His particular interest is the use of doping/interface to control optical, thermal, and transport properties. In addition to oxides, he has worked on the theory of self-assembly, configuration interaction quantum impurity solvers, and the theory of photoemission spectroscopy.

  • Recent News & Events

    •  NEWS   The Ab Initio paper selected as "HOT Physical Chemistry Chemical Physics article" and is made free to access the end of July 2019
      Date: June 12, 2019
      Where: Physical Chemistry Chemical Physics – Published 22 Feb 2019
      MERL Contact: Chungwei Lin
      Research Areas: Applied Physics, Multi-Physical Modeling
      Brief
      • The journal "Physical Chemistry Chemical Physics (PCCP)" selects a few well-received articles highlighted as HOT by the handling editor or referees. The following paper "Band Alignment in Quantum Wells from Automatically Tuned DFT+U" with MERL authors Grigory Kolesov, Chungwei Lin, Andrew Knyazev, Keisuke Kojima, Joseph Katz has been selected as a 2019 HOT Physical Chemistry Chemical Physics article, and is made free to access until the end of July 2019. This paper provides a semi-empirical methodology to compute the lattice and electronic structures of systems composed of 400+ atoms. The efficiency of this method allows for realistic simulations of interfaces between semiconductors, which is nearly impossible using the existing methods due to the extremely large degrees of freedom involved. The formalism is tested against a few established band alignments and then applied to determine the band gaps of quantum wells; the agreement is within the experimental uncertainty.
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    •  NEWS   Deep Learning-Based Photonic Circuit Design in Scientific Reports
      Date: February 4, 2019
      Where: Scientific Reports, open-access journal from Nature Research
      MERL Contacts: Devesh Jha; Toshiaki Koike-Akino; Keisuke Kojima; Chungwei Lin; Kieran Parsons; Bingnan Wang
      Research Areas: Artificial Intelligence, Electronic and Photonic Devices, Machine Learning
      Brief
      • MERL researchers developed a novel design method enhanced by modern deep learning techniques for optimizing photonic integrated circuits (PIC). The developed technique employs residual deep neural networks (DNNs) to understand physics underlaying complicated lightwave propagations through nano-structured photonic devices. It was demonstrated that the trained DNN achieves excellent prediction to design power splitting nanostructures having various target power ratios. The work was published in Scientific Reports, which is an online open access journal from Nature Research, having high-impact articles in the research community.
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  • MERL Publications

    •  Zhang, S., Wang, B., Kanemaru, M., Lin, C., Liu, D., Habetler, T., "Model-Based Analysis and Quantification of Bearing Faults in Induction Machines", IEEE Transactions on Industry Applications, DOI: 10.1109/TIA.2020.2979383, Vol. 56, No. 3, pp. 2158-2170, May 2020.
      BibTeX TR2020-059 PDF
      • @article{Zhang2020may,
      • author = {Zhang, Shen and Wang, Bingnan and Kanemaru, Makoto and Lin, Chungwei and Liu, Dehong and Habetler, Thomas},
      • title = {Model-Based Analysis and Quantification of Bearing Faults in Induction Machines},
      • journal = {IEEE Transactions on Industry Applications},
      • year = 2020,
      • volume = 56,
      • number = 3,
      • pages = {2158--2170},
      • month = may,
      • doi = {10.1109/TIA.2020.2979383},
      • issn = {1939-9367},
      • url = {https://www.merl.com/publications/TR2020-059}
      • }
    •  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}
      • }
    •  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}
      • }
    •  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 TR2019-087 PDF
      • @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}
      • }
    •  Zhang, S., Wang, B., Kanemaru, M., Lin, C., Liu, D., Habetler, T., "Quantification of Rolling-Element Bearing Fault Severity of Induction Machines", International Electric Machine & Drives Conference (IEMDC), DOI: 10.1109/IEMDC.2019.8785225, May 2019, pp. 44-50.
      BibTeX TR2019-033 PDF
      • @inproceedings{Zhang2019may,
      • author = {Zhang, Shen and Wang, Bingnan and Kanemaru, Makoto and Lin, Chungwei and Liu, Dehong and Habetler, Thomas},
      • title = {Quantification of Rolling-Element Bearing Fault Severity of Induction Machines},
      • booktitle = {International Electric Machine & Drives Conference (IEMDC)},
      • year = 2019,
      • pages = {44--50},
      • month = may,
      • doi = {10.1109/IEMDC.2019.8785225},
      • url = {https://www.merl.com/publications/TR2019-033}
      • }
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  • MERL Issued Patents

    • Title: "Near-Field Based Thermoradiative Device"
      Inventors: Wang, Bingnan; Lin, Chungwei; Teo, Koon Hoo
      Patent No.: 10,658,968
      Issue Date: May 19, 2020
    • Title: "Thermophotovoltaic Energy Converter"
      Inventors: Lin, Chungwei; Wang, Bingnan; Teo, Koon Hoo
      Patent No.: 10,497,821
      Issue Date: Dec 3, 2019
    • Title: "Semiconductor Device with Multi-Function P-Type Diamond Gate"
      Inventors: Teo, Koon Hoo; Tang, Chenjie; Lin, Chungwei
      Patent No.: 9,780,181
      Issue Date: Oct 3, 2017
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