ask others

• Google
• Google Scholar
• Semantic Scholar
• Internet Archive Scholar
• CiteSeerX
• ORCID

• affiliation:Springer Nature, New York City, NY, USA
• affiliation (2019 - 2020):Michigan State University, East Lansing, MI, USA
• affiliation (2016 - 2019):National Renewable Eenergy Laboratory, Golden, CO, USA
• affiliation (PhD 2016):University of Kentucky, Lexington, KY, USA

• Jie Pan —disambiguation page
• Jie Pan0001 —University of Western Australia, School of Mechanical Engineering, Crawley, WA, Australia(and 1 more)
• Jie Pan0003 —ADVA Optical Networking, Norcross, GA, USA(and 1 more)
• Jie Pan0004 —Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering, Hong Kong(and 1 more)
• Jie Pan0005 —Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering, Hong Kong(and 1 more)
• Jie Pan0006 —Yangzhou University, College of Information Engineering, China(and 1 more)
• Jie Pan0007 —Northwest University, Xi'an, China(and 1 more)
• Jie Pan0008 — Peking University, College of Engineering, Department of Advanced Manufacturing and Robotics, Beijing, China
• Jie Pan0009 — Nanjing Forestry University, College of Forestry, Co-Innovation Center for Sustainable Forestry in Southern China, China
• Jie Pan0010 — Shanghai Jiao Tong University, Department of Industrial Engineering and Management, China
• Jie Pan0011 — Zhejiang University of Technology, College of Computer Science and Technology, Hangzhou, China
• Jie Pan0012 — Sun Yat-sen University, School of Computer Science and Engineering, Guangzhou, China
• Jie Pan0013 — Shandong Normal University, School of Physics and Electronics, Jinan, China

• Hao-Jie Pan
• James Jie Pan
• Jie-Ke Pan
• Jun-Jie Pan
• Shih-Jie Pan
• Wei-Jie Pan
• Wen-Jie Pan
• Yi-Jie Pan
• Ying Jie Pan
• Yun-Jie Pan

• 2024
• 
  [j39]
  Jie Pan:
  Materials informatics heralds a collaborative future.Nat. Comput. Sci.4(3):158-160 (2024)
• 2023
• 
  [j38]
  Jie Pan:
  Large language model for molecular chemistry.Nat. Comput. Sci.3(1):5 (2023)
• 
  [j37]
  Jie Pan:
  Effective phase analyzer learned from stock images.Nat. Comput. Sci.3(2):120 (2023)
• 
  [j36]
  Jie Pan:
  Transfer learning for metal-organic frameworks.Nat. Comput. Sci.3(4):280 (2023)
• 
  [j35]
  Jie Pan:
  Towards a welcoming climate for LGBTQ people.Nat. Comput. Sci.3(6):473-475 (2023)
• 
  [j34]
  Jie Pan:
  Treating quantum states as human faces.Nat. Comput. Sci.3(6):479 (2023)
• 
  [j33]
  Jie Pan:
  Physics-inspired model for online content dynamics.Nat. Comput. Sci.3(7):575 (2023)
• 
  [j32]
  Jie Pan:
  Optimal crystal structure solutions.Nat. Comput. Sci.3(8):665 (2023)
• 
  [j31]
  Jie Pan:
  Adding charge to neural network potentials.Nat. Comput. Sci.3(10):816 (2023)
• 
  [j30]
  Jie Pan:
  A full-stack platform for spiking deep learning.Nat. Comput. Sci.3(11):913 (2023)
• 
  [j29]
  Jie Pan:
  Towards programmed protein generation.Nat. Comput. Sci.3(12):1003 (2023)
• 2022
• 
  [j28]
  Jie Pan:
  Mining literature for perovskite solar cells.Nat. Comput. Sci.2(1):3 (2022)
• 
  [j27]
  Jie Pan:
  Reinstating functionality of complex systems.Nat. Comput. Sci.2(2):64 (2022)
• 
  [j26]
  Kaitlin McCardle,Jie Pan:
  Computational chemistry for all.Nat. Comput. Sci.2(3):134-136 (2022)
• 
  [j25]
  Jie Pan:
  Machine learning for spectral properties.Nat. Comput. Sci.2(3):139 (2022)
• 
  [j24]
  Jie Pan:
  Quantum Monte Carlo guided by quantum computing.Nat. Comput. Sci.2(4):213 (2022)
• 
  [j23]
  Jie Pan:
  Expanding the capability of autonomous microscopy.Nat. Comput. Sci.2(5):285 (2022)
• 
  [j22]
  Jie Pan:
  Stabilizing quantum GANs.Nat. Comput. Sci.2(6):351 (2022)
• 
  [j21]
  Jie Pan:
  Quantum experiment design via interpretable DL.Nat. Comput. Sci.2(7):410 (2022)
• 
  [j20]
  Jie Pan:
  Improving segregation prediction.Nat. Comput. Sci.2(8):468 (2022)
• 
  [j19]
  Jie Pan:
  Making complex systems computable.Nat. Comput. Sci.2(9):550-552 (2022)
• 
  [j18]
  Jie Pan:
  Mathematically probing membrane fluctuations.Nat. Comput. Sci.2(9):554 (2022)
• 
  [j17]
  Jie Pan:
  Machine learning proved efficient.Nat. Comput. Sci.2(10):619 (2022)
• 
  [j16]
  Jie Pan:
  Active learning for alloy design.Nat. Comput. Sci.2(11):693 (2022)
• 2021
• 
  [j15]
  Jie Pan:
  Characterizing true quantum computing power.Nat. Comput. Sci.1(1):15 (2021)
• 
  [j14]
  Jie Pan:
  Modeling higher-order lattice anharmonicity.Nat. Comput. Sci.1(1):17 (2021)
• 
  [j13]
  Jie Pan:
  Scaling up system size in materials simulation.Nat. Comput. Sci.1(2):95 (2021)
• 
  [j12]
  Jie Pan:
  Simulating thermal physics on quantum computers.Nat. Comput. Sci.1(3):174 (2021)
• 
  [j11]
  Jie Pan:
  Can machines learn with hard constraints?Nat. Comput. Sci.1(4):244 (2021)
• 
  [j10]
  Jie Pan:
  Computationally probing exciton dynamics.Nat. Comput. Sci.1(4):246 (2021)
• 
  [j9]
  Jie Pan:
  Large-scale transport simulation by deep learning.Nat. Comput. Sci.1(5):306 (2021)
• 
  [j8]
  Jie Pan:
  Mathematically exploring wrinkle evolution.Nat. Comput. Sci.1(6):388 (2021)
• 
  [j7]
  Jie Pan:
  Improving chemical accuracy with neural networks.Nat. Comput. Sci.1(7):453 (2021)
• 
  [j6]
  Jie Pan:
  Simulating synthesis of 3D network polymers.Nat. Comput. Sci.1(8):506 (2021)
• 
  [j5]
  Jie Pan:
  Deep learning boosts RNA prediction.Nat. Comput. Sci.1(9):564 (2021)
• 
  [j4]
  Jie Pan:
  Reducing qubit budget in quantum machine learning.Nat. Comput. Sci.1(9):565 (2021)
• 
  [j3]
  Jie Pan:
  Physics-educated DL refines phase mapping.Nat. Comput. Sci.1(10):635 (2021)
• 
  [j2]
  Jie Pan:
  Coupling mechanics into membrane electrochemistry.Nat. Comput. Sci.1(11):708 (2021)
• 
  [j1]
  Jie Pan:
  Analyzing noise for quantum advantage.Nat. Comput. Sci.1(12):776 (2021)

manage site settings