Match tier Confirmed
Presence Current · Arkansas
Last published 2026
Sources OpenAlex · ORCID
Refreshed 2026-10-09

Feng Wang

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Federal Grant PI High Impact

Associate Professor

Also affiliated: Kunming University of Science and Technology (2013); Boston University (2008–2012); Shanghai University (2022); Tufts University (2010); Beijing Institute of Technology (2008–2014); University of Minnesota (2015); Shenyang Institute of Automation (2017); University of California, Santa Barbara (2005); University of Pittsburgh (2001–2004); National University of Defense Technology (2009–2020); Northwestern Polytechnical University (2001–2020); Chinese Academy of Sciences (2017); University of Utah (2005–2018); China Academy of Engineering Physics (2020–2024); University of Oxford (2018); Anhui Xinhua University (2024); Laser Fusion Research Center (2020); State Key Laboratory of Solidification Processing (2001); Chongqing Jiaotong University (2024–2025); University of Newcastle Australia (1992)

30 h-index 142 pubs 3,515 cited

  • Water
  • Models, Chemical
  • Quantum Theory
  • Models, Molecular
  • Thermodynamics
  • Molecular Dynamics Simulation
  • Peptides
  • Protons
  • Computer Simulation
  • Alanine
  • Hydrogen Bonding
  • Molecular Conformation
  • Animals
  • Ions
  • Solutions

Biography and Research Information

OverviewAI-generated summary

Feng Wang's research program investigates the fundamental physical and chemical processes governing molecular systems, with a particular focus on solvation, transport, and electronic structure. His work utilizes computational modeling and simulation techniques, including molecular dynamics and quantum mechanics/molecular mechanics (QM/MM) methods, to study phenomena such as aqueous proton solvation and transport, and the development of accurate force fields for computational drug design. He has received federal funding for two projects: one from the National Institutes of Health (NIH) for developing efficient and accurate force fields for computer-aided drug design, totaling $285,585, and another from the National Science Foundation (NSF) for extending the time and length scales of electronic structure methods through force matching, totaling $440,500.

His publications include studies on theoretical aspects of dipole-bound anions, enhanced Raman scattering and photothermal conversion properties of gold nanoparticle-coated carbon nanotube rings for theranostic applications, and self-assembled responsive bilayered vesicles for cancer imaging and therapy. Wang also investigates excess proton solvation and delocalization in polymer membranes like Nafion and develops advanced computational methods, such as a linear-scaling self-consistent generalization of the multistate empirical valence bond method for multiple excess protons and adaptive optimization for heterogeneous CPU/GPU computing.

With a career h-index of 30 and over 148 publications, Wang has a significant citation record. He collaborates with researchers at the University of Arkansas at Fayetteville, including S. M. York and Raymond Weldon, with whom he has co-authored multiple publications. His research interests bridge computational chemistry, materials science, and biomedical applications.

Metrics

  • h-index: 30
  • Publications: 142
  • Citations: 3,515

Positions

  • Associate Professor 2012–present
    University of Arkansas Fayetteville Chemistry and Biochemistry ORCID
  • Assistant Professor 2005–2012
    Boston University Chemistry ORCID
  • Post Doctoral Studies Computational Physical Chemistry 2003–2005
    University of Utah ORCID

Selected Publications

  • Predicting solubility of molecular liquids using first principles and adaptive force matching (2026)
    The Journal of Chemical Physics DOI OpenAlex
  • Predicting Properties of Key Ingredients of Battery Solvents with Density Functional Theory and Adaptive Force Matching (2026)
    Journal of Chemical Theory and Computation DOI OpenAlex
  • Predicting Properties of Cyclohexene with Electronic Structure Methods through Adaptive Force Matching (2026)
    The Journal of Physical Chemistry C 1 citation DOI OpenAlex
  • Synthesis and Characterization of Copper Nanoparticles: A Laboratory Experiment for Undergraduate Physical Chemistry (2025)
    Journal of Chemical Education 1 citation DOI OpenAlex
  • An Adaptive Force Matching Potential for Alanine Developed with Møller–Plesset Perturbation Theory and Smooth Fourier Transform Correction Map (2025)
    The Journal of Physical Chemistry B 2 citations DOI OpenAlex
  • Exploring the promise and limitations of point-charge-free potentials for hydrocarbon modeling (2025)
    Scientific Reports 6 citations DOI OpenAlex
  • Carbon Monoxide-Assisted Synthesis of Nickel Cobalt Phosphide Nanorods for the Hydrogen Evolution Reaction (2025)
    Materials and Interfaces DOI OpenAlex
  • Synthesis of Amorphous and Various Phase-Pure Nanoparticles of Nickel Phosphide with Uniform Sizes via a Trioctylphosphine-Mediated Pathway (2024)
    Inorganic Chemistry 11 citations DOI OpenAlex
  • Revealing Structural Evolution of Nickel Phosphide-Iron Oxide Core–Shell Nanocatalysts in Alkaline Medium for the Oxygen Evolution Reaction (2024)
    Chemistry of Materials 32 citations DOI OpenAlex
  • Simulation of Linear and Cyclic Alkanes with Second-Order Møller–Plesset Perturbation Theory through Adaptive Force Matching (2024)
    Journal of Chemical Theory and Computation 5 citations DOI OpenAlex
  • Water Potential from Adaptive Force Matching for Ice and Liquid with Revised Dispersion Predicts Supercooled Liquid Anomalies in Good Agreement with Two Independent Experimental Fits (2024)
    The Journal of Physical Chemistry B 15 citations DOI OpenAlex
  • Simulating a flexible water model as rigid: Best practices and lessons learned (2023)
    The Journal of Chemical Physics 7 citations DOI OpenAlex
  • Dipole Cooperativity and Polarization Frustration Determine the Secondary Structure Distribution of Short Alanine Peptides in Water (2023)
    The Journal of Physical Chemistry B 11 citations DOI OpenAlex
  • Fragmentation Method for Computing Quantum Mechanics and Molecular Mechanics Gradients for Force Matching: Validation with Hydration Free Energy Predictions Using Adaptive Force Matching (2022)
    The Journal of Physical Chemistry A 8 citations DOI OpenAlex
  • Performing Molecular Dynamics Simulations and Computing Hydration Free Energies on the B3LYP-D3(BJ) Potential Energy Surface with Adaptive Force Matching: A Benchmark Study with Seven Alcohols and One Amine (2021)
    ACS Physical Chemistry Au 26 citations DOI OpenAlex

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Federal Grants 2 $726,358 total

NIH Contact PI Jan 2017 - Aug 2030

Efficient and Accurate Force Fields for Computer-Aided Drug Design

National Institute of General Medical Sciences $285,858 R01
NSF PI Mar 2023 - Feb 2027

Extending the Time and Length Scale of Electronic Structure Methods Through Force Matching

Chem Thry, Mdls & Cmptnl Mthds $440,500

Collaboration Network

93 Collaborators 30 Institutions 2 Countries

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