Vikas Varshney

Wright-Patterson Air Force Base — United States

Materials Science · Physical Sciences

35h-index7.5kcitations162works4.72yr avg
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Research Topics

Carbon Nanotubes in Composites(38), Thermal properties of materials(38), Graphene research and applications(32), Polymer composites and self-healing(16), Machine Learning in Materials Science(13)

Publications162 total

Flow-Based Generative Models for Estimating Extreme Value Distributions in Unidirectional Polymer Matrix Composites
SSRN Electronic Journal·2026Open Access
A Hybrid Simulation-Machine Learning Framework for Predicting Thermal Degradation in High-Performance Polyimides
Macromolecules·2025
Validated Reactive Force Field Quantifies MXene Interfacial Properties, Mechanics, andThermal Transport
2025
Predicting stress and damage in carbon fiber-reinforced composites deformation process using composite U-net surrogate model
Theoretical and Applied Mechanics Letters·2025Open Access
Computational Protocols for the Study of Damage Initiation in Unidirectional Fiber-Reinforced Polymer Matrix Composites
Integrating materials and manufacturing innovation·2025Open Access
Molecular dynamics of helicene–siloxane thermoplastic polymers: Implications for sensing applications
Polymer·2025
Leveraging Molecular Mechanics With the uESE Continuum Solvation Model for Efficient Solvation Free Energy Prediction: Impact of Conformation and Extensive Validation
Journal of Computational Chemistry·2025· 1 citedOpen Access
Leveraging Molecular Mechanics with the uESE Continuum Solvation Model for Efficient Solvation Free Energy Prediction: Impact of Conformation and Extensive Validation
2025
Limitations of theory-informed machine learning algorithms for the prediction and exploration of molecular properties: Solvation free energy as a case study
APL Machine Learning·2025· 1 citedOpen Access
Leveraging Molecular Mechanics with the uESE Continuum Solvation Model for Efficient Solvation Free Energy Prediction: Impact of Conformation and Extensive Validation
2025
Effective dual stage fusion model for single image dehazing
Pattern Analysis and Applications·2025· 2 cited
Scaling Helicene Synthesis via Photochemical Oxidation─A Comparison between Batch and Flow Reactors
Organic Process Research & Development·2025· 1 cited
Leveraging Molecular Mechanics with the uESE Continuum Solvation Model for Efficient Solvation Free Energy Prediction: Impact of Conformation and Extensive Validation
2025· 1 citedOpen Access
Predicting ultimate tensile strength of SiC/SiC mini-composites via machine learning
Ceramics International·2025· 3 cited
Predicting the graphitization and mechanical properties of pyrolyzed carbyne polymers
Computational Materials Science·2025· 1 cited
Assessing the Effectiveness of Neural Networks and Molecular Dynamics Simulations in Predicting Viscosity of Small Organic Molecules
The Journal of Physical Chemistry B·2025· 2 cited
Accelerated ReaxFF Simulations of Vitrimers with Dynamic Covalent Adaptive Networks
Macromolecules·2025· 5 cited
Prediction of carbon nanostructure mechanical properties and the role of defects using machine learning
Proceedings of the National Academy of Sciences·2025· 5 citedOpen Access
Revealing nanoscale mechanisms of pyrolysis at phenolic resin/carbon fiber interface
Journal of Materials Science·2025· 5 citedOpen Access
Accelerated ReaxFF Simulations of Vitrimers with Dynamic Covalent Adaptive Networks
2025· 1 cited
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Frequent Co-authors

Ajit K. Roy(38), Barry L. Farmer(16), Jonghoon Lee(10), Dhriti Nepal(7), Yixin Ren(6), Soumya S. Patnaik(5), Amber M. Hubbard(5), Alireza S. Sarvestani(5), Catalin R. Picu(5), Sangwook Sihn(5), Pulickel M. Ajayan(4), Jennifer Wohlwend(4), Andrey A. Voevodin(4), Dominik Konkolewicz(4), Nicholas R. Glavin(3), Rahul Rao(3), Elisabeth Bianco(3), Amey Apte(3), Emilie Ringe(3), Sabyasachi Ganguli(3)