Qiaohao Liang

Massachusetts Institute of Technology (MIT)

77 Massachusetts Avenue

50 Memorial Drive

Cambridge, MA 02139-4307

United States

  • Massachusetts Institute of Technology (MIT)

SCHOLARLY PAPERS

2

DOWNLOADS

74

TOTAL CITATIONS

3

Scholarly Papers (2)

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1.

Improving Diagnostics and Prognostics of Implantable Cardioverter Defibrillator Batteries with Interpretable Machine Learning Models

Downloads 38 (871,994)
Citation 1

Improving Diagnostics and Prognostics of Implantable Cardioverter Defibrillator Batteries with Interpretable Machine Learning Models

Number of pages: 20 Posted: 25 Mar 2024
Giacomo Galuppini, Qiaohao Liang, Prabhakar A. Tamirisa, Jeffrey A. Lemmerman, Melani G. Sullivan, Michael J. M. Mazack, Partha M. Gomadam, Martin Z. Bazant and Richard D. Braatz
Massachusetts Institute of Technology (MIT), Massachusetts Institute of Technology (MIT), Medtronic (Minneapolis), Medtronic (Minneapolis), Medtronic (Minneapolis), Medtronic (Minneapolis), Medtronic (Minneapolis), Massachusetts Institute of Technology (MIT) - Department of Chemical Engineering and Massachusetts Institute of Technology (MIT)
Downloads 22 (1,061,455)
Citation 1

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Batteries, Defibrillators, Machine Learning, Generalized Additive Models, Diagnostics, Prognostics.

Improving Diagnostics and Prognostics of Implantable Cardioverter Defibrillator Batteries with Interpretable Machine Learning Models

Number of pages: 19 Posted: 22 Jan 2024
Giacomo Galuppini, Qiaohao Liang, Prabhakar A. Tamirisa, Jeffrey A. Lemmerman, Melani G. Sullivan, Michael J. M. Mazack, Partha M. Gomadam, Martin Z. Bazant and Richard D. Braatz
Massachusetts Institute of Technology (MIT), Massachusetts Institute of Technology (MIT), Medtronic (Minneapolis), Medtronic (Minneapolis), Medtronic (Minneapolis), Medtronic (Minneapolis), Medtronic (Minneapolis), Massachusetts Institute of Technology (MIT) - Department of Chemical Engineering and Massachusetts Institute of Technology (MIT)
Downloads 16 (1,138,019)

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Batteries, Defibrillators, Machine learning, Generalized Additive Models, Diagnostics, Prognostics

2.

An Invertible Crystallographic Representation for General Inverse Design of Inorganic Crystals with Targeted Properties

Number of pages: 23 Posted: 08 Jun 2021
Zekun Ren, Siyu Isaac Parker Tian, Juhwan Noh, Felipe Oviedo, Guangzong Xing, Qiaohao Liang, Ruiming Zhu, Armin Aberle, Shijing Sun, Xiaonan Wang, Yi Liu, Qianxiao Li, Senthilnath Jayavelu, Kedar Hippalgaonkar, Yousung Jung and Tonio Buonassisi
Singapore-MIT Alliance for Research and Technology (SMART), Singapore-MIT Alliance for Research and Technology (SMART), Korea Advanced Institute of Science and Technology (KAIST) - Department of Chemical and Biomolecular Engineering, Massachusetts Institute of Technology (MIT), National Institute for Materials Science (NIMS), Massachusetts Institute of Technology (MIT), Agency for Science, Technology and Research (A*STAR) - Institute of Materials Research and Engineering, National University of Singapore - Solar Energy Research Institute of Singapore (SERIS), Massachusetts Institute of Technology (MIT), National University of Singapore - Department of Chemical and Biomolecular Engineering, Shanghai University - Materials Genome Institute (MGI), National University of Singapore - Department of Mathematics, Agency for Science, Technology and Research (A*STAR) - Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR) - Institute of Materials Research and Engineering, Korea Advanced Institute of Science and Technology (KAIST) - Department of Chemical and Biomolecular Engineering and Massachusetts Institute of Technology (MIT)
Downloads 36 (889,446)
Citation 2

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