Lei Wang

ORCID: 0000-0002-3136-6182
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About
Contact & Profiles
Research Areas
  • Electron Spin Resonance Studies
  • Advanced NMR Techniques and Applications
  • DNA and Nucleic Acid Chemistry
  • Advanced battery technologies research
  • Creativity in Education and Neuroscience
  • Perfectionism, Procrastination, Anxiety Studies
  • Molecular Junctions and Nanostructures
  • Crystallography and molecular interactions
  • Mindfulness and Compassion Interventions
  • Protein Structure and Dynamics
  • Electrocatalysts for Energy Conversion
  • Luminescence and Fluorescent Materials
  • Mass Spectrometry Techniques and Applications
  • Supercapacitor Materials and Fabrication

Liaoning Normal University
2018-2023

Artificial intelligence (AI) era challenges the use and functions of emotion in college students students’ life is often experienced as an emotional rollercoaster, negative positive can affect outcomes, but we know very little about how ride it most effectively to increase their creativity. We introduce frustration tolerance a mediator regulation moderator investigate mechanism creativity improvement under emotion. Drawing on sample 283 from professional music colleges or major normal...

10.3389/fpsyg.2022.843531 article EN cc-by Frontiers in Psychology 2022-04-13

A potential based on a bond dipole representation of electrostatics is reported for peptides. Different from those popular force fields using atom-centered point-charge or point-multipole to express the electrostatics, our peptide uses chemical dipole–dipole interactions electrostatic interactions. The parameters permanent and induced dipoles are derived fitting MP2 three-body interaction energy curves. van der Waals taken AMBER99sb further refined stacking curve. bonded terms without any...

10.3390/pr11041291 article EN Processes 2023-04-21

Accurately characterizing molecular interactions stands as a pivotal requirement for ensuring the reliability of dynamics simulations. In line with our bond-dipole-based interaction model proposed by Gao et al. [X.-C. Gao, Q. Hao and C.-S. Wang, J. Chem. Theory Comput., 2017, 13, 2730-2741.], we have implemented an efficient concise approach to compute electrostatic potential. This methodology capitalizes on polarizable nature chemical bond dipoles, resulting in remarkable simplicity. this...

10.1039/d3cp04060g article EN Physical Chemistry Chemical Physics 2023-01-01
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