Normalizing Flows for Efficient Inverse Design of Thermophotovoltaic Emitters

Article Properties
  • Language
    English
  • Publication Date
    2023/03/31
  • Journal
  • Indian UGC (journal)
  • Refrences
    60
  • Jia-Qi Yang State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023, China
  • YuCheng Xu Research Institute of Superconductor Electronics (RISE) School of Electronic Science and Engineering, Nanjing University, Nanjing 210023, China
  • Kebin Fan Research Institute of Superconductor Electronics (RISE) School of Electronic Science and Engineering, Nanjing University, Nanjing 210023, ChinaPurple Mountain Laboratories, Nanjing 211111, China ORCID
  • Jingbo Wu Research Institute of Superconductor Electronics (RISE) School of Electronic Science and Engineering, Nanjing University, Nanjing 210023, ChinaPurple Mountain Laboratories, Nanjing 211111, China
  • Caihong Zhang Research Institute of Superconductor Electronics (RISE) School of Electronic Science and Engineering, Nanjing University, Nanjing 210023, ChinaPurple Mountain Laboratories, Nanjing 211111, China
  • De-Chuan Zhan State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023, China
  • Biao-Bing Jin Research Institute of Superconductor Electronics (RISE) School of Electronic Science and Engineering, Nanjing University, Nanjing 210023, ChinaPurple Mountain Laboratories, Nanjing 211111, China
  • Willie J. Padilla Duke University, Department of Electrical and Computer Engineering, Durham, North Carolina 27708, United States ORCID
Journal Categories
Science
Chemistry
Science
Physics
Science
Physics
Acoustics
Sound
Science
Physics
Optics
Light
Technology
Chemical technology
Technology
Electrical engineering
Electronics
Nuclear engineering
Materials of engineering and construction
Mechanics of materials
Refrences
Title Journal Journal Categories Citations Publication Date
10.1063/1.1841902 2004
10.1007/978-3-031-03765-8 2022
10.1007/978-3-031-03765-8 2021
10.1007/978-3-031-03765-8 Journal of Machine Learning Research
  • Technology: Mechanical engineering and machinery
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
2008
10.1109/IJCNN48605.2020.9207181