Publications

112 / 3,737 publications found.


  •  Wang, B., Lin, C., Inoue, H., Kanemaru, M., "Topological Data Analysis for Electric Motor Eccentricity Fault Detection", Annual Conference of the IEEE Industrial Electronics Society (IECON), DOI: 10.1109/​IECON49645.2022.9968912, October 2022, pp. 1-6.
    BibTeX TR2022-130 PDF
    • @inproceedings{Wang2022oct2,
    • author = {Wang, Bingnan and Lin, Chungwei and Inoue, Hiroshi and Kanemaru, Makoto},
    • title = {Topological Data Analysis for Electric Motor Eccentricity Fault Detection},
    • booktitle = {Annual Conference of the IEEE Industrial Electronics Society (IECON)},
    • year = 2022,
    • pages = {1--6},
    • month = oct,
    • doi = {10.1109/IECON49645.2022.9968912},
    • url = {https://www.merl.com/publications/TR2022-130}
    • }
  •  Bortoff, S.A., Laughman, C.R., "Estimation: A Key Technology for Digital Twins", Mitsubishi Sanden Gihou, Vol. 96, No. 8, pp. 304-307, October 2022.
    BibTeX TR2022-127 PDF
    • @article{Bortoff2022oct,
    • author = {Bortoff, Scott A. and Laughman, Christopher R.},
    • title = {Estimation: A Key Technology for Digital Twins},
    • journal = {Mitsubishi Sanden Gihou},
    • year = 2022,
    • volume = 96,
    • number = 8,
    • pages = {304--307},
    • month = oct,
    • url = {https://www.merl.com/publications/TR2022-127}
    • }
  •  Zhan, S., Wichern, G., Laughman, C.R., Chong, A., Chakrabarty, A., "Calibrating building simulation models using multi-source datasets and meta-learned Bayesian optimization", Energy and Buildings, DOI: 10.1016/​j.enbuild.2022.112278, Vol. 270, pp. 112278, September 2022.
    BibTeX TR2022-072 PDF
    • @article{Zhan2023jan,
    • author = {Zhan, Sicheng and Wichern, Gordon and Laughman, Christopher R. and Chong, Adrian and Chakrabarty, Ankush},
    • title = {Calibrating building simulation models using multi-source datasets and meta-learned Bayesian optimization},
    • journal = {Energy and Buildings},
    • year = 2022,
    • volume = 270,
    • pages = 112278,
    • month = sep,
    • doi = {10.1016/j.enbuild.2022.112278},
    • url = {https://www.merl.com/publications/TR2022-072}
    • }
  •  Chakrabarty, A., Burns, D.J., Guay, M., Laughman, C.R., "Rapid Energy Optimization Of Vapor Compression Systems Using Probabilistic Machine Learning And Extremum Seeking Control", International Refrigeration and Air Conditioning Conference (IRACC), July 2022.
    BibTeX TR2022-172 PDF
    • @inproceedings{Chakrabarty2022jul,
    • author = {Chakrabarty, Ankush and Burns, Daniel J. and Guay, Martin and Laughman, Christopher R.},
    • title = {Rapid Energy Optimization Of Vapor Compression Systems Using Probabilistic Machine Learning And Extremum Seeking Control},
    • booktitle = {International Refrigeration and Air Conditioning Conference (IRACC)},
    • year = 2022,
    • month = jul,
    • url = {https://www.merl.com/publications/TR2022-172}
    • }
  •  Qiao, H., Laughman, C.R., "Dynamic Modeling of Oil Transport in Vapor Compression Systems", International Refrigeration and Air Conditioning Conference (IRACC), July 2022.
    BibTeX TR2022-122 PDF
    • @inproceedings{Qiao2022sep,
    • author = {Qiao, Hongtao and Laughman, Christopher R.},
    • title = {Dynamic Modeling of Oil Transport in Vapor Compression Systems},
    • booktitle = {International Refrigeration and Air Conditioning Conference (IRACC)},
    • year = 2022,
    • month = jul,
    • url = {https://www.merl.com/publications/TR2022-122}
    • }
  •  Qiao, H., Laughman, C.R., "A Low-Order Model for Nonlinear Dynamics of Heat Exchangers", International Refrigeration and Air Conditioning Conference (IRACC), July 2022.
    BibTeX TR2022-123 PDF
    • @inproceedings{Qiao2022sep2,
    • author = {Qiao, Hongtao and Laughman, Christopher R.},
    • title = {A Low-Order Model for Nonlinear Dynamics of Heat Exchangers},
    • booktitle = {International Refrigeration and Air Conditioning Conference (IRACC)},
    • year = 2022,
    • month = jul,
    • url = {https://www.merl.com/publications/TR2022-123}
    • }
  •  de Castro, M., Wang, Y., Vanfretti, L., Wang, H., Liu, D., Bortoff, S.A., Takegami, T., "Modeling, Simulation and Control of Turboelectric Propulsion Systems for More Electric Aircrafts using Modelica", AIAA Aviation Forum, DOI: 10.2514/​6.2022-3873, June 2022, pp. 3873.
    BibTeX TR2022-087 PDF
    • @inproceedings{deCastro2022jun,
    • author = {de Castro, Marcelo and Wang, Yebin and Vanfretti, Luigi and Wang, Hongyu and Liu, Dehong and Bortoff, Scott A. and Takegami, Tomoki},
    • title = {Modeling, Simulation and Control of Turboelectric Propulsion Systems for More Electric Aircrafts using Modelica},
    • booktitle = {AIAA Aviation Forum},
    • year = 2022,
    • pages = 3873,
    • month = jun,
    • doi = {10.2514/6.2022-3873},
    • url = {https://www.merl.com/publications/TR2022-087}
    • }
  •  Deshpande, V., Laughman, C.R., Ma, Y., Rackauckas, C., "Constrained Smoothers for State Estimation of Vapor Compression Cycles", American Control Conference (ACC), DOI: 10.23919/​ACC53348.2022.9867269, June 2022, pp. 2333-2340.
    BibTeX TR2022-063 PDF
    • @inproceedings{Deshpande2022jun,
    • author = {{Deshpande, Vedang and Laughman, Christopher R. and Ma, Yingbo and Rackauckas, Chris}},
    • title = {Constrained Smoothers for State Estimation of Vapor Compression Cycles},
    • booktitle = {American Control Conference (ACC)},
    • year = 2022,
    • pages = {2333--2340},
    • month = jun,
    • publisher = {IEEE},
    • doi = {10.23919/ACC53348.2022.9867269},
    • issn = {2378-5861},
    • isbn = {978-1-6654-5196-3},
    • url = {https://www.merl.com/publications/TR2022-063}
    • }
  •  Anantharaman, R., Abdelrahim, A., Martinuzzi, F., Yalburgi, S., Saba, E., Fischer, K., Hertz, G., de Vos, P., Laughman, C.R., Ma, Y., Shah, V., Edelman, A., Rackauckas, C., "Composable and Reusable Neural Surrogates to Predict System Response of Causal Model Components", AAAI 2022 Workshop on AI based Design and Manufacturing, March 2022.
    BibTeX TR2022-034 PDF
    • @inproceedings{Anantharaman2022mar,
    • author = {Anantharaman, Ranjan and Abdelrahim, Anas and Martinuzzi, Francesco and Yalburgi, Sharan and Saba, Elliot and Fischer, Keno and Hertz, Glen and de Vos, Pepijn and Laughman, Christopher R. and Ma, Yingbo and Shah, Viral and Edelman, Alan and Rackauckas, Chris},
    • title = {Composable and Reusable Neural Surrogates to Predict System Response of Causal Model Components},
    • booktitle = {AAAI 2022 Workshop on AI based Design and Manufacturing},
    • year = 2022,
    • month = mar,
    • url = {https://www.merl.com/publications/TR2022-034}
    • }
  •  Chakrabarty, A., Maddalena, E., Qiao, H., Laughman, C.R., "Scalable Bayesian Optimization for Model Calibration: Case Study on Coupled Building and HVAC Dynamics", Energy and Buildings, DOI: 10.1016/​j.enbuild.2021.111460, Vol. 253, pp. 111460, March 2022.
    BibTeX TR2022-030 PDF
    • @article{Chakrabarty2022mar,
    • author = {Chakrabarty, Ankush and Maddalena, Emilio and Qiao, Hongtao and Laughman, Christopher R.},
    • title = {Scalable Bayesian Optimization for Model Calibration: Case Study on Coupled Building and HVAC Dynamics},
    • journal = {Energy and Buildings},
    • year = 2022,
    • volume = 253,
    • pages = 111460,
    • month = mar,
    • doi = {10.1016/j.enbuild.2021.111460},
    • url = {https://www.merl.com/publications/TR2022-030}
    • }
  •  Bortoff, S.A., Schwerdtner, P., Danielson, C., Di Cairano, S., Burns, D.J., "H-Infinity Loop-Shaped Model Predictive Control with HVAC Application", IEEE Transactions on Control Systems Technology, DOI: 10.1109/​TCST.2022.3141937, Vol. 30, No. 5, pp. 2188-2203, March 2022.
    BibTeX TR2022-028 PDF
    • @article{Bortoff2022mar,
    • author = {Bortoff, Scott A. and Schwerdtner, Paul and Danielson, Claus and Di Cairano, Stefano and Burns, Daniel J.},
    • title = {H-Infinity Loop-Shaped Model Predictive Control with HVAC Application},
    • journal = {IEEE Transactions on Control Systems Technology},
    • year = 2022,
    • volume = 30,
    • number = 5,
    • pages = {2188--2203},
    • month = mar,
    • doi = {10.1109/TCST.2022.3141937},
    • issn = {1063-6536},
    • url = {https://www.merl.com/publications/TR2022-028}
    • }
  •  Jeon, W., Chakrabarty, A., Zemouche, A., Rajamani, R., "Simultaneous State Estimation and Tire Model Learning for Autonomous Vehicle Applications", IEEE/ASME Transactions on Mechatronics, DOI: 10.1109/​TMECH.2021.3081035, Vol. 26, No. 4, pp. 1941-1950, January 2022.
    BibTeX TR2022-003 PDF
    • @article{Jeon2022jan,
    • author = {Jeon, Woongsun and Chakrabarty, Ankush and Zemouche, Ali and Rajamani, Rajesh},
    • title = {Simultaneous State Estimation and Tire Model Learning for Autonomous Vehicle Applications},
    • journal = {IEEE/ASME Transactions on Mechatronics},
    • year = 2022,
    • volume = 26,
    • number = 4,
    • pages = {1941--1950},
    • month = jan,
    • doi = {10.1109/TMECH.2021.3081035},
    • url = {https://www.merl.com/publications/TR2022-003}
    • }
  •  Teo, K.H., Zhang, Y., Chowdhury, N., Rakheja, S., Ma, R., Xie, Q., Yagyu, E., Yamanaka, K., Li, K., Palacios, T., "Emerging GaN technologies for power, RF, digital and quantum computing applications: recent advances and prospects", Journal of Applied Physics, DOI: 10.1063/​5.0061555, December 2021.
    BibTeX TR2022-002 PDF
    • @article{Teo2021dec,
    • author = {Teo, Koon Hoo and Zhang, Yuhao and Chowdhury, Nadim and Rakheja, Shaloo and Ma, Rui and Xie, Qingyun and Yagyu, Eiji and Yamanaka, Koji and Li, Kexin and Palacios, Tomas},
    • title = {Emerging GaN technologies for power, RF, digital and quantum computing applications: recent advances and prospects},
    • journal = {Journal of Applied Physics},
    • year = 2021,
    • month = dec,
    • doi = {10.1063/5.0061555},
    • url = {https://www.merl.com/publications/TR2022-002}
    • }
  •  Zhan, S., Wichern, G., Laughman, C.R., Chakrabarty, A., "Meta-Learned Bayesian Optimization for Building Model Calibration using Attentive Neural Processes", Advances in Neural Information Processing Systems (NeurIPS), December 2021.
    BibTeX TR2021-149 PDF
    • @inproceedings{Zhan2021dec,
    • author = {Zhan, Sicheng and Wichern, Gordon and Laughman, Christopher R. and Chakrabarty, Ankush},
    • title = {Meta-Learned Bayesian Optimization for Building Model Calibration using Attentive Neural Processes},
    • booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
    • year = 2021,
    • month = dec,
    • url = {https://www.merl.com/publications/TR2021-149}
    • }
  •  Wang, B., Zhou, L., Miyoshi, M., Inoue, H., Kanemaru, M., "Quantification of Induction Motor Bearing Fault Severity based on Modified Winding Function Theory", International Conference on Electrical Machines and Systems (ICEMS), DOI: 10.23919/​ICEMS52562.2021.9634328, November 2021, pp. 944-948.
    BibTeX TR2021-139 PDF
    • @inproceedings{Wang2021nov3,
    • author = {Wang, Bingnan and Zhou, Lei and Miyoshi, Masahito and Inoue, hiroshi and Kanemaru, Makoto},
    • title = {Quantification of Induction Motor Bearing Fault Severity based on Modified Winding Function Theory},
    • booktitle = {2021 24th International Conference on Electrical Machines and Systems (ICEMS)},
    • year = 2021,
    • pages = {944--948},
    • month = nov,
    • publisher = {IEEE},
    • doi = {10.23919/ICEMS52562.2021.9634328},
    • url = {https://www.merl.com/publications/TR2021-139}
    • }
  •  Chakrabarty, A., Bortoff, S.A., Laughman, C.R., "Simulation Failure Robust Bayesian Optimization for Estimating Black-Box Model Parameters", IEEE International Conference on Systems, Man, and Cybernetics (SMC), DOI: 10.1109/​SMC52423.2021.9658893, October 2021.
    BibTeX TR2021-128 PDF Video
    • @inproceedings{Chakrabarty2021oct2,
    • author = {Chakrabarty, Ankush and Bortoff, Scott A. and Laughman, Christopher R.},
    • title = {Simulation Failure Robust Bayesian Optimization for Estimating Black-Box Model Parameters},
    • booktitle = {IEEE International Conference on Systems, Man, and Cybernetics (SMC)},
    • year = 2021,
    • month = oct,
    • doi = {10.1109/SMC52423.2021.9658893},
    • 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), DOI: 10.1109/​ECCE47101.2021.9595341, October 2021, pp. 4142-4148.
    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 = {2021 IEEE Energy Conversion Congress and Exposition (ECCE)},
    • year = 2021,
    • pages = {4142--4148},
    • month = oct,
    • publisher = {IEEE},
    • doi = {10.1109/ECCE47101.2021.9595341},
    • 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), DOI: 10.1109/​ECCE47101.2021.9595230, October 2021, pp. 4480-4485.
    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 = {2021 IEEE Energy Conversion Congress and Exposition (ECCE)},
    • year = 2021,
    • pages = {4480--4485},
    • month = oct,
    • publisher = {IEEE},
    • doi = {10.1109/ECCE47101.2021.9595230},
    • url = {https://www.merl.com/publications/TR2021-124}
    • }
  •  Li, S., Qiao, H., "Development of a fast fluid dynamics model based on PISO algorithm for simulating indoor airflow", ASME - Summer Heat Transfer Conference, DOI: HT2021-63909, 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,
    • doi = {HT2021-63909},
    • url = {https://www.merl.com/publications/TR2021-120}
    • }
  •  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}
    • }
  •  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", International Modelica Conference, Martin Sjölund, Lena Buffoni, Adrian Pop, and Lennart Ochel, Eds., DOI: 10.3384/​ecp2118197, September 2021, pp. 97-107.
    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 = {International Modelica Conference},
    • year = 2021,
    • editor = {Martin Sjölund, Lena Buffoni, Adrian Pop, and Lennart Ochel},
    • pages = {97--107},
    • month = sep,
    • publisher = {Linköping Electronic Press},
    • doi = {10.3384/ecp2118197},
    • issn = {1650-3740},
    • isbn = {978-91-7929-027-6},
    • url = {https://www.merl.com/publications/TR2021-114}
    • }
  •  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}
    • }
  •  Chakrabarty, A., Maddalena, E., Qiao, H., Laughman, C.R., "Data-driven calibration of physics-informed models of joint building/equipment dynamics using Bayesian optimization", Building Simulation Conference 2021, 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 = {Building Simulation Conference 2021},
    • year = 2021,
    • month = sep,
    • url = {https://www.merl.com/publications/TR2021-105}
    • }
  •  Qiao, H., Laughman, C.R., "Modeling and Analysis of Pressure Drop Oscillations in Horizontal Boiling Flow", International Refrigeration and Air Conditioning Conference (IRACC), August 2021.
    BibTeX TR2021-102 PDF
    • @inproceedings{Qiao2021aug,
    • author = {Qiao, Hongtao and Laughman, Christopher R.},
    • title = {Modeling and Analysis of Pressure Drop Oscillations in Horizontal Boiling Flow},
    • booktitle = {International Refrigeration and Air Conditioning Conference (IRACC)},
    • year = 2021,
    • month = aug,
    • url = {https://www.merl.com/publications/TR2021-102}
    • }
  •  Chakrabarty, A., Wichern, G., Laughman, C.R., "ANP-BBO: Attentive Neural Processes and Batch Bayesian Optimization for Scalable Calibration of Physics-Informed Digital Twins", International Conference on Machine Learning (ICML), July 2021.
    BibTeX TR2021-086 PDF
    • @inproceedings{Chakrabarty2021jul,
    • author = {Chakrabarty, Ankush and Wichern, Gordon and Laughman, Christopher R.},
    • title = {ANP-BBO: Attentive Neural Processes and Batch Bayesian Optimization for Scalable Calibration of Physics-Informed Digital Twins},
    • booktitle = {International Conference on Machine Learning (ICML)},
    • year = 2021,
    • month = jul,
    • url = {https://www.merl.com/publications/TR2021-086}
    • }