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.

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  • News & Events


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  • Internships

    • MD1697: Integrated design of mechatronic systems

      MERL is seeking a highly motivated and qualified individual to conduct research in model-based mechatronic system design. The ideal candidate should have solid backgrounds in motor and drives, multi-body dynamics, design optimization, and coding skills. Demonstrated experience on hand-on mechatronic system integration, and simulation/optimization software such as Matlab is a necessity. Ph.D. students in mechanical engineering, robotics, and electrical engineering are encouraged to apply. Start date for this internship is flexible and the duration is about 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.

    • MD1593: Design Optimization for Electric Machines

      MERL is seeking a motivated and qualified intern to conduct research on design optimization of electrical machines. The ideal candidate should have solid background and demonstrated research experience in mathematical optimization methods, especially in topology optimization, robust optimization, sensitivity analysis, and machine learning techniques. Hands-on experiences with the implementation of optimization algorithms, machine learning and deep learning methods are highly desirable. Knowledge and experience with electric machine principle, design and finite-element analysis is a strong plus. Senior Ph.D. students in related expertise are encouraged to apply. Start date for this internship is flexible and the duration is about 3-6 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.

    • CA1695: Spacecraft Attitude Control

      MERL is seeking a highly motivated intern for a research position in spacecraft attitude control. The ideal candidate has experience in attitude kinematics and dynamics, computational fluid dynamics (CFD) using OpenFOAM, programming in C++, optimization, and control of rigid bodies and PDEs. Experience in multi-phase flow modeling and volume-of-fluid approach with an emphasis on liquid-gas systems is highly desirable. PhD students in aerospace, mechanical, or electrical engineering are encouraged to apply. Publication of results produced during the internship is expected. The duration of the internship is 3-6 months, and the start date is flexible. This internship is preferred to be onsite at MERL, but may be done remotely where you live if the COVID pandemic makes it necessary.


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  • Openings


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  • Recent Publications

    •  Chakrabarty, A., Bortoff, S.A., Laughman, C.R., "Simulation Failure-Robust Estimation of Black-Box Model Parameters via Bayesian Optimization", IEEE International Conference on Systems, Man, and Cybernetics, October 2021.
      BibTeX TR2021-128 PDF
      • @inproceedings{Chakrabarty2021oct2,
      • author = {Chakrabarty, Ankush and Bortoff, Scott A. and Laughman, Christopher R.},
      • title = {Simulation Failure-Robust Estimation of Black-Box Model Parameters via Bayesian Optimization},
      • booktitle = {IEEE International Conference on Systems, Man, and Cybernetics},
      • year = 2021,
      • month = oct,
      • url = {https://www.merl.com/publications/TR2021-128}
      • }
    •  Wang, B., Shin, K.-H., Hidaka, Y., Kondo, S., Arita, H., Ito, K., "Analytical Magnetic Model for Variable-Flux Interior Permanent Magnet Synchronous Motors", IEEE Energy Conversion Congress and Exposition (ECCE), October 2021.
      BibTeX TR2021-123 PDF
      • @inproceedings{Wang2021oct2,
      • author = {Wang, Bingnan and Shin, Kyung-Hun and Hidaka, Yuki and Kondo, Shota and Arita, Hideaki and Ito, Kazumasa},
      • title = {Analytical Magnetic Model for Variable-Flux Interior Permanent Magnet Synchronous Motors},
      • booktitle = {IEEE Energy Conversion Congress and Exposition (ECCE)},
      • year = 2021,
      • month = oct,
      • url = {https://www.merl.com/publications/TR2021-123}
      • }
    •  Wang, B., Zhou, L., Wang, H., Lin, C., "Analytical Modeling and Design Optimization of a Vernier Permanent Magnet Motor", IEEE Energy Conversion Congress and Exposition (ECCE), October 2021.
      BibTeX TR2021-124 PDF
      • @inproceedings{Wang2021oct3,
      • author = {Wang, Bingnan and Zhou, Lei and Wang, Hongyu and Lin, Chungwei},
      • title = {Analytical Modeling and Design Optimization of a Vernier Permanent Magnet Motor},
      • booktitle = {IEEE Energy Conversion Congress and Exposition (ECCE)},
      • year = 2021,
      • month = oct,
      • url = {https://www.merl.com/publications/TR2021-124}
      • }
    •  Leonard, E., Qiao, H., Nabi, S., "A Comparison of Interpolation Methods in Fast Fluid Dynamics", International High Performance Buildings Conference, September 2021.
      BibTeX TR2021-118 PDF
      • @inproceedings{Leonard2021sep,
      • author = {Leonard, Eric and Qiao, Hongtao and Nabi, Saleh},
      • title = {A Comparison of Interpolation Methods in Fast Fluid Dynamics},
      • booktitle = {International High Performance Buildings Conference},
      • year = 2021,
      • month = sep,
      • url = {https://www.merl.com/publications/TR2021-118}
      • }
    •  Li, S., Qiao, H., "Development of a fast fluid dynamics model based on PISO algorithm for simulating indoor airflow", ASME - Summer Heat Transfer Conference, September 2021.
      BibTeX TR2021-120 PDF
      • @inproceedings{Li2021sep,
      • author = {Li, Sibo and Qiao, Hongtao},
      • title = {Development of a fast fluid dynamics model based on PISO algorithm for simulating indoor airflow},
      • booktitle = {ASME - Summer Heat Transfer Conference},
      • year = 2021,
      • month = sep,
      • url = {https://www.merl.com/publications/TR2021-120}
      • }
    •  Rackauckas, C., Anantharaman, R., Edelman, A., Gowda, S., Gwozdz, M., Jain, A., Laughman, C.R., Ma, Y., Martinuzzi, F., Pal, A., Rajput, U., Saba, E., Shah, V., "Composing Modeling and Simulation with Machine Learning in Julia", 14th International Modelica Conference, September 2021.
      BibTeX TR2021-114 PDF
      • @inproceedings{Rackauckas2021sep,
      • author = {Rackauckas, Chris and Anantharaman, Ranjan and Edelman, Alan and Gowda, Shashi and Gwozdz, Maja and Jain, Anand and Laughman, Christopher R. and Ma, Yingbo and Martinuzzi, Francesco and Pal, Avik and Rajput, Utkarsh and Saba, Elliot and Shah, Viral},
      • title = {Composing Modeling and Simulation with Machine Learning in Julia},
      • booktitle = {14th International Modelica Conference},
      • year = 2021,
      • month = sep,
      • url = {https://www.merl.com/publications/TR2021-114}
      • }
    •  Chakrabarty, A., Maddalena, E., Qiao, H., Laughman, C.R., "Data-driven calibration of physics-informed models of joint building/equipment dynamics using Bayesian optimization", 2021 Building Simulation Conference, September 2021.
      BibTeX TR2021-105 PDF Video
      • @inproceedings{Chakrabarty2021sep,
      • author = {Chakrabarty, Ankush and Maddalena, Emilio and Qiao, Hongtao and Laughman, Christopher R.},
      • title = {Data-driven calibration of physics-informed models of joint building/equipment dynamics using Bayesian optimization},
      • booktitle = {2021 Building Simulation Conference},
      • year = 2021,
      • month = sep,
      • url = {https://www.merl.com/publications/TR2021-105}
      • }
    •  Tanaka, R., Nabi, S., Nonaka, M., "Airflow Optimization for Room Air Conditioners", Building Simulation 2021 Conference, September 2021.
      BibTeX TR2021-106 PDF
      • @inproceedings{Tanaka2021sep,
      • author = {Tanaka, Ryuta and Nabi, Saleh and Nonaka, Mio},
      • title = {Airflow Optimization for Room Air Conditioners},
      • booktitle = {Building Simulation 2021 Conference},
      • year = 2021,
      • month = sep,
      • url = {https://www.merl.com/publications/TR2021-106}
      • }
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  • Videos