Yong Niu

Yong Niu 牛永

PhD in Atomic and Molecular Physics

Shaanxi University of Science and Technology

Biography

Yong Niu is a associate professor of Atomic and Molecular Physics in School of Physics & Information Science, Shaanxi University of Science and Technology. His research interests include attosecond physics, first-principles calculations and Physics-Informed Machine Learning. He leads the Attosecond and Computational Science Group (ACSG), which develops coherent XUV/soft-X-ray sources based on the high-harmonic generation process with femtosecond/attosecond time and nanometer spatial resolution for spectroscopy, imaging, and metrology applications, particularly for probing the properties of quantum materials.

Research Interests
  • Attosecond Physics
  • First-principles calculations in spintronics and catalysis
  • Physics-Informed Machine Learning
Education
  • PhD in Atomic and Molecular Physics, 2013-2017

    Jilin University

  • MSc in Atomic and Molecular Physics, 2011-2013

    Jilin University

Recent News

19th National Conference on Low Temperature Physics
Participants discussed quantum gases, quantum fluids, quantum solids, and related macroscopic quantum phenomena; superconductivity, strongly correlated electron systems, and quantum phase transitions; the magnetism of solids and their surfaces/interfaces, spintronics, the properties of multiferroic materials, and thermal properties; the properties of low-dimensional materials and nanodevices, topological insulators/Dirac semimetals, quantum transport, quantum computing, low-temperature experimental techniques, and applications, demonstrating the broad application prospects of low-temperature physics research.
19th National Conference on Low Temperature Physics
22th National Conference on Atom and Molecular Physics
Participants discussed quantum gases, quantum fluids, quantum solids, and related macroscopic quantum phenomena
22th National Conference on Atom and Molecular Physics

Gallery

Research

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Attosecond Physics
Attosecond physics and high harmonic generation.
Attosecond Physics
First-principles calculations
First-principles electronic structure calculations are based on the laws of quantum mechanics and only use the fundamental constants of physics as input to provide detailed insight into the origin of mechanical, electronic, optical and magnetic properties of materials and molecules.
First-principles calculations
Physics-Informed Machine Learning
Integrate physical knowledge into machine learning methods.
Physics-Informed Machine Learning

People

Graduate Students

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Ying Wang

Shaanxi University of Science and Technology

Physics-Informed Machine Learning

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Linhao Wang

Shaanxi University of Science and Technology

First-principles calculations

Contact

Undergraduate students with backgrounds in disciplines such as physics, mathematics, computer science, and related fields are welcome to contact me.