Ji Wang

About

Ji Wang is an affiliated faculty member at the School of Earth Sciences at The Ohio State University. His educational background includes a PhD in Astronomy from the University of Florida earned in 2012, a Master's degree in Astronomy from the same university obtained in 2008, and a Bachelor's degree in Astrophysics from the University of Science and Technology of China completed in 2006. His areas of expertise include exoplanets. He is based at the School of Earth Sciences located in Mendenhall Laboratory, Columbus, Ohio. His contact information includes an office at 4003 McPherson Laboratory, email at wang.12220@osu.edu, and phone number 614-292-2721. The provided information indicates his professional focus on astronomical research, particularly related to exoplanets, although specific research contributions are not detailed in the page text.

Research topics

• Organic chemistry
• Computer Science
• Artificial Intelligence
• Chemistry
• Nuclear chemistry
• Chemical engineering
• Computational chemistry
• Materials science
• Chromatography
• Nanotechnology

Selected publications

• Learning the Riccati solution operator for time-varying LQR via Deep Operator Networks

  arXiv (Cornell University) · 2026-04-20

  preprintOpen accessSenior author

  We propose a computational framework for replacing the repeated numerical solution of differential Riccati equations in finite-horizon Linear Quadratic Regulator (LQR) problems by a learned operator surrogate. Instead of solving a nonlinear matrix-valued differential equation for each new system instance, we construct offline an approximation of the associated solution operator mapping time-dependent system parameters to the Riccati trajectory. The resulting model enables fast online evaluation…

  PublisherDOI

• Learning the Riccati solution operator for time-varying LQR via Deep Operator Networks

  ArXiv.org · 2026-04-20

  articleOpen accessSenior author

  We propose a computational framework for replacing the repeated numerical solution of differential Riccati equations in finite-horizon Linear Quadratic Regulator (LQR) problems by a learned operator surrogate. Instead of solving a nonlinear matrix-valued differential equation for each new system instance, we construct offline an approximation of the associated solution operator mapping time-dependent system parameters to the Riccati trajectory. The resulting model enables fast online evaluation…

  PublisherOA PDF

• Chaos signal transmission based on atomic antennas

  Acta Physica Sinica · 2025-01-01

  articleOpen accessSenior author

  To achieve multi-channel parallel transmission of complex signals and enhance spectral efficiency, this study presents a Rydberg atomic antenna system that can demonstrate multiplexed communication schemes. 852-nm and 509-nm lasers are used to excite cesium atoms into Rydberg states in a vapor cell, while employing differential detection techniques to suppress common-mode noise in order to obtain high signal-to-noise ratio electromagnetically induced transparency (EIT) spectra. Under weak electr…

  PublisherOA PDFDOI

• Cyber-Physical Systems for Human-Centric Automated Vehicles

  2025-06-26

  book-chapterSenior author

  Modern ground vehicles are multiplex cyber-physical systems wherein many functions are accomplished by collective interactions between electromechanical systems and cybernetic control algorithms. Besides, human drivers also play a major role in vehicle driving. For such cyber-human-vehicle systems, the synergistic collaboration and integration between human drivers and vehicular cyber-physical systems are crucial for improving vehicle driving safety and alleviating human-machine conflict. This c…

  PublisherDOI

• Comparison and analysis of methods for measuring the spin transverse relaxation time of rubidium atomic vapor

  Optics Express · 2024-11-18

  articleOpen accessSenior author

  The spin transverse relaxation time ( T 2 ) of atoms is an important indicator for magnetic field precision measurement. Especially in optically-pumped atomic magnetometer, the linewidth of the magnetic resonance signal is one of the most important parameters of sensitivity, which is inversely correlated with T 2 of atoms. In this paper, we propose four methods, namely spin noise spectroscopy signal fitting, radio-frequency free induction decay (RF-FID) signal fitting, ω m (modulation frequency)…

  PublisherDOI

Recent grants

• CPS: Synergy: Real-Time Cyber-Human-Vehicle Systems for Driving Safety Enhancement

  NSF · $521k · 2018–2021

• CPS: Synergy: Real-Time Cyber-Human-Vehicle Systems for Driving Safety Enhancement

  NSF · $812k · 2016–2018

• Synergistically Integrated In-Cylinder Condition and Fueling Control for Advanced Multi-Mode Combustion Diesel Engines

  NSF · $271k · 2010–2014

Frequent coauthors

• Zejiang Wang

  Tsinghua University

  155 shared

• Xingyu Zhou

  South China Municipal Engineering Design and Research Institute (China)

  147 shared

• Heran Shen

  Walker (United States)

  108 shared

• Hui Zhang

  47 shared

• Hyunjin Ahn

  Walker (United States)

  44 shared

• Yung-Chi Kung

  Walker (United States)

  43 shared

• Rongrong Wang

  Guizhou Electric Power Design and Research Institute

  34 shared

• Pingen Chen

  Tennessee Technological University

  30 shared

Education

• Ph.D. in Mechanical Engineering

  University of Texas at Austin

  2007

• M.S. in Electrical Engineering

  University of Minnesota, Twin Cities

  2003

• M.S. in Mechanical Engineering

  University of Minnesota, Twin Cities

  2003

• M.S. in Power Machinery and Engineering

  Tsinghua University

  2000

• B.S. in Automotive Engineering

  Tsinghua University

  1997

Similar researchers at Ohio State University

• Yanlan Liuh-108
• Mark Jonesh-69
• David Coleh-64