Urvesh Patil

Trinity College — Canada

Materials Science · Physical Sciences

5h-index103citations20works1.52yr avg
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Research Topics

Machine Learning in Materials Science(7), Graphene research and applications(4), Advanced Chemical Physics Studies(3), Catalysis and Oxidation Reactions(3), 2D Materials and Applications(2)

Publications20 total

Automated traffic violation detection and E-challan system using YOLOv3 and IoT
2025
A charge-density machine-learning workflow for computing the infrared spectrum of molecules
The Journal of Chemical Physics·2025Open Access
Optimized Energy Management in Renewable Energy Integrated Microgrids Using Pyramidal Dilation Attention Convolutional Neural Networks
Journal of Environmental Nanotechnology·2025· 1 cited
Transforming Economic Insights: Big Data Analysis for Real-Time Decision-Making and Risk Management
2025
Exploring the Synergy of AI, Blockchain and Fintech for Next-Generation Solutions
2025
Covariant Jacobi-Legendre expansion for total energy calculations within the projector augmented wave formalism
Physical review. B./Physical review. B·2024· 3 cited
Covariant Jacobi-Legendre expansion for total energy calculations within the projector-augmented-wave formalism
arXiv (Cornell University)·2024Open Access
Predicting the One-Particle Density Matrix with Machine Learning
Journal of Chemical Theory and Computation·2024· 9 citedOpen Access
Predicting The One-Particle Density Matrix With Machine Learning
arXiv (Cornell University)·2024Open Access
DestinAI: Your Personalized Travel Itinerary Planner and Chat Catalyst Using Generative AI
Lecture notes in networks and systems·2024· 2 cited
The role of solvent interfacial structural ordering in maintaining stable graphene dispersions
2D Materials·2023· 5 citedOpen Access
The role of solvent interfacial structural ordering in maintaining stable graphene dispersions
arXiv (Cornell University)·2023Open Access
Cluster expansion constructed over Jacobi-Legendre polynomials for accurate force fields
Physical review. B./Physical review. B·2023· 13 cited
Linear Jacobi-Legendre expansion of the charge density for machine learning-accelerated electronic structure calculations
npj Computational Materials·2023· 19 citedOpen Access
Linear Jacobi-Legendre expansion of the charge density for machine learning-accelerated electronic structure calculations
Zenodo (CERN European Organization for Nuclear Research)·2023· 3 citedOpen Access
Linear Jacobi-Legendre expansion of the charge density for machine learning-accelerated electronic structure calculations
arXiv (Cornell University)·2023Open Access
Cluster expansion constructed over Jacobi-Legendre polynomials for accurate force fields
arXiv (Cornell University)·2022Open Access
Composition dependence of the charge-driven phase transition in group-VI transition metal dichalcogenides
Physical review. B./Physical review. B·2019· 19 citedOpen Access
Adsorption of common solvent molecules on graphene and MoS2 from first-principles
Arrow@dit (Dublin Institute of Technology)·2018· 24 citedOpen Access
Resonant enhancement in nanostructured thermoelectric performance via electronic thermal conductivity engineering
Physica E Low-dimensional Systems and Nanostructures·2016· 5 citedOpen Access

Frequent Co-authors

Stefano Sanvito(10), Michelangelo Domina(7), Bruno Focassio(5), A. Fazzio(5), Nuala M. Caffrey(4), Suman Hazra(3), Matteo Cobelli(2), S. Kaliappan(2), Ramya Maranan(2), Bhaskaran Muralidharan(1), Aaswit Kanhed(1), Pratham Bhagwat(1), Kunal Palande(1), Nishant Palav(1), Sonal Balpande(1), Kiran Deshpande(1), S. Kaliappan(1), L. Natrayan(1), T. Mothilal(1), N. Durga Devi(1)