Multi-Physical Modeling

Optimal design & robust control through multi-physical modeling.

Our work involves the development of state-of-art modeling and simulation tools for complex, heterogeneous systems. We apply these models for the optimal design and robust control of a variety of systems including HVAC systems, zero-energy buildings, automobiles, and robotic systems.

  • Researchers

  • News & Events

    •  NEWS   Scott Bortoff gave Mercer Distinguished Lecture at Rensselaer Polytechnic Institute
      Date: September 25, 2019
      Where: Rensselaer Polytechnic Institute (RPI), Troy, NY
      MERL Contact: Scott Bortoff
      Research Areas: Control, Multi-Physical Modeling
      Brief
      • The seminar, entitled “HVAC System Control and Optimization,” was part of the Mercer Distinguished Lecture Series in the Electrical, Computer and Systems Engineering Department at Rensselaer Polytechnic Institute (RPI), Troy, NY. Given on Wednesday September 25, 2019, it focused on the systems engineering and control issues associated with highly integrated Heating, Ventilation and Air Conditioning Systems for low and zero energy buildings.
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    •  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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  • Internships

    • MD1263: 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.

    • 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.

    • MS1443: Numerical optimization of thermal fluid systems

      MERL is seeking a motivated and qualified individual to conduct research in numerical modeling and optimization of thermal fluid systems. A solid background in numerical simulation of fluid dynamics and heat transfer is required. Skills in numerical optimization in partial differential equations are expected and experiences with OpenFOAM are highly desirable. Senior Ph.D. students in applied mathematics, chemical/mechanical engineering and other related areas are encouraged to apply. The duration of the internship is about 3 months.


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  • Openings


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  • Recent Publications

    •  Zhang, S., Zhang, S., Wang, B., Habetler, T., "Deep Learning Algorithms for Bearing Fault Diagnostics – A Comprehensive Review", IEEE Access, March 2020.
      BibTeX Download PDFAbout TR2020-034
      • @article{Zhang2020mar,
      • author = {Zhang, Shen and Zhang, Shibo and Wang, Bingnan and Habetler, Thomas},
      • title = {Deep Learning Algorithms for Bearing Fault Diagnostics – A Comprehensive Review},
      • journal = {IEEE Access},
      • year = 2020,
      • month = mar,
      • url = {https://www.merl.com/publications/TR2020-034}
      • }
    •  Bortoff, S.A., "Modeling Contact and Collisions for Robotic Assembly Control", American Modelica Conference 2020, March 2020.
      BibTeX Download PDFAbout TR2020-032
      • @inproceedings{Bortoff2020mar,
      • author = {Bortoff, Scott A.},
      • title = {Modeling Contact and Collisions for Robotic Assembly Control},
      • booktitle = {American Modelica Conference 2020},
      • year = 2020,
      • month = mar,
      • url = {https://www.merl.com/publications/TR2020-032}
      • }
    •  Laughman, C.R., Bortoff, S.A., "Nonlinear State Estimation with FMI: Tutorial and Applications", American Modelica Conference 2020, March 2020.
      BibTeX Download PDFAbout TR2020-031
      • @inproceedings{Laughman2020mar,
      • author = {Laughman, Christopher R. and Bortoff, Scott A.},
      • title = {Nonlinear State Estimation with FMI: Tutorial and Applications},
      • booktitle = {American Modelica Conference 2020},
      • year = 2020,
      • month = mar,
      • url = {https://www.merl.com/publications/TR2020-031}
      • }
    •  Lin, C., Sels, D., Wang, Y., "Time-optimal Control of a Dissipative Qubit", Physical Review, February 2020.
      BibTeX Download PDFAbout TR2020-023
      • @article{Lin2020feb,
      • author = {Lin, Chungwei and Sels, Dries and Wang, Yebin},
      • title = {Time-optimal Control of a Dissipative Qubit},
      • journal = {Physical Review},
      • year = 2020,
      • month = feb,
      • url = {https://www.merl.com/publications/TR2020-023}
      • }
    •  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}
      • }
    •  Garcia, J., Danielson, C., Limon, D., Bortoff, S.A., Di Cairano, S., "Steady-State Analysis of HVAC Performance using Indoor Fans in Control Design", IEEE Conference on Decision and Control (CDC), December 2019.
      BibTeX Download PDFAbout TR2019-143
      • @inproceedings{Garcia2019dec,
      • author = {Garcia, Joaquin and Danielson, Claus and Limon, Daniel and Bortoff, Scott A. and Di Cairano, Stefano},
      • title = {Steady-State Analysis of HVAC Performance using Indoor Fans in Control Design},
      • booktitle = {IEEE Conference on Decision and Control (CDC)},
      • year = 2019,
      • month = dec,
      • url = {https://www.merl.com/publications/TR2019-143}
      • }
    •  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}
      • }
    •  Laughman, C.R., Mackey, C., Bortoff, S.A., Qiao, H., "Modeling and Control of Radiant, Convective, and Ventilation Systems for Multizone Residences", Building Simulation, September 2019.
      BibTeX Download PDFAbout TR2019-093
      • @article{Laughman2019sep,
      • author = {Laughman, Christopher R. and Mackey, Chris and Bortoff, Scott A. and Qiao, Hongtao},
      • title = {Modeling and Control of Radiant, Convective, and Ventilation Systems for Multizone Residences},
      • journal = {Building Simulation},
      • year = 2019,
      • month = sep,
      • url = {https://www.merl.com/publications/TR2019-093}
      • }
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