Prateek Verma
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
Associate Professor
Also affiliated: Georgia Institute of Technology (2013–2025); University of Leeds (2025); Datta Meghe Institute of Higher Education and Research (2025); Stanford University (2019–2026)
Faculty Researcher
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Prateek Verma's research focuses on materials science, with recent work investigating the mechanical properties and phase transformations in hydrogen ion-implanted silicon carbide. He has also explored the development of ultrasensitive and stretchable strain sensors based on microcrack structures for motion monitoring, and Pt thin-film resistance thermometers for high-temperature pressure sensors. Further investigations include the electromagnetic interference shielding and Joule heating performances of composite coatings incorporating silver nanoparticles. Verma's work also extends to the application of large vision language models for analyzing medical and microscope images. He has published 72 papers, accumulating 644 citations, and holds an h-index of 13. His collaborations at the University of Arkansas at Fayetteville include Minh-Hao Van, Xintao Wu, Ukash Nakarmi, and Karthik Nayani.
Metrics
- h-index: 13
- Publications: 70
- Citations: 661
Selected Publications
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Vision language models for scientific image analysis: an evaluation highlighting opportunities and challenges (2026)
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A Survey of AI for Materials Science: Foundation Models, LLM Agents, Datasets, and Tools (2026)
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A Machine Learning Framework for Automated Computational Ethology Using Markerless Pose Estimation (2025)
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Fine-Tuning Vision-Language Models for Multimodal Polymer Property Prediction (2025)
Collaboration Network
Top Collaborators
- An ultrasensitive and stretchable strain sensor based on a microcrack structure for motion monitoring
- Improvement mechanism of brittle-plastic transition and residual stress in scratching 4H–SiC implanted by hydrogen ions
- Mechanical properties and indentation-induced phase transformation in 4H–SiC implanted by hydrogen ions
- Pt thin-film resistance thermo detectors with stable interfaces for potential integration in SiC high-temperature pressure sensors
- Ag Nanoparticle-Thiolated Chitosan Composite Coating Reinforced by Ag–S Covalent Bonds with Excellent Electromagnetic Interference Shielding and Joule Heating Performances
Showing 5 of 7 shared publications
- An ultrasensitive and stretchable strain sensor based on a microcrack structure for motion monitoring
- Improvement mechanism of brittle-plastic transition and residual stress in scratching 4H–SiC implanted by hydrogen ions
- Pt thin-film resistance thermo detectors with stable interfaces for potential integration in SiC high-temperature pressure sensors
- Ag Nanoparticle-Thiolated Chitosan Composite Coating Reinforced by Ag–S Covalent Bonds with Excellent Electromagnetic Interference Shielding and Joule Heating Performances
- Atomistic analysis on implantation effects of hydrogen ions and copper ions into 4H-SiC
Showing 5 of 6 shared publications
- An ultrasensitive and stretchable strain sensor based on a microcrack structure for motion monitoring
- Improvement mechanism of brittle-plastic transition and residual stress in scratching 4H–SiC implanted by hydrogen ions
- Mechanical properties and indentation-induced phase transformation in 4H–SiC implanted by hydrogen ions
- Pt thin-film resistance thermo detectors with stable interfaces for potential integration in SiC high-temperature pressure sensors
- Ag Nanoparticle-Thiolated Chitosan Composite Coating Reinforced by Ag–S Covalent Bonds with Excellent Electromagnetic Interference Shielding and Joule Heating Performances
- Improvement mechanism of brittle-plastic transition and residual stress in scratching 4H–SiC implanted by hydrogen ions
- Mechanical properties and indentation-induced phase transformation in 4H–SiC implanted by hydrogen ions
- Ag Nanoparticle-Thiolated Chitosan Composite Coating Reinforced by Ag–S Covalent Bonds with Excellent Electromagnetic Interference Shielding and Joule Heating Performances
- Atomistic analysis on implantation effects of hydrogen ions and copper ions into 4H-SiC
- Atomistic Analysis on Implantation Effects of Hydrogen Ions and Copper Ions into 4h-Sic
- Improvement mechanism of brittle-plastic transition and residual stress in scratching 4H–SiC implanted by hydrogen ions
- Mechanical properties and indentation-induced phase transformation in 4H–SiC implanted by hydrogen ions
- Atomistic analysis on implantation effects of hydrogen ions and copper ions into 4H-SiC
- Atomistic Analysis on Implantation Effects of Hydrogen Ions and Copper Ions into 4h-Sic
- Improvement mechanism of brittle-plastic transition and residual stress in scratching 4H–SiC implanted by hydrogen ions
- Mechanical properties and indentation-induced phase transformation in 4H–SiC implanted by hydrogen ions
- Pt thin-film resistance thermo detectors with stable interfaces for potential integration in SiC high-temperature pressure sensors
- Ag Nanoparticle-Thiolated Chitosan Composite Coating Reinforced by Ag–S Covalent Bonds with Excellent Electromagnetic Interference Shielding and Joule Heating Performances
- Improvement mechanism of brittle-plastic transition and residual stress in scratching 4H–SiC implanted by hydrogen ions
- Mechanical properties and indentation-induced phase transformation in 4H–SiC implanted by hydrogen ions
- Atomistic analysis on implantation effects of hydrogen ions and copper ions into 4H-SiC
- Atomistic Analysis on Implantation Effects of Hydrogen Ions and Copper Ions into 4h-Sic
- On Large Visual Language Models for Medical Imaging Analysis: An Empirical Study
- Beyond Human Vision: The Role of Large Vision Language Models in Microscope Image Analysis
- Fine-Tuning Vision-Language Models for Multimodal Polymer Property Prediction
- A Machine Learning Framework for Automated Computational Ethology Using Markerless Pose Estimation
- Improvement mechanism of brittle-plastic transition and residual stress in scratching 4H–SiC implanted by hydrogen ions
- Mechanical properties and indentation-induced phase transformation in 4H–SiC implanted by hydrogen ions
- Ag Nanoparticle-Thiolated Chitosan Composite Coating Reinforced by Ag–S Covalent Bonds with Excellent Electromagnetic Interference Shielding and Joule Heating Performances
- An ultrasensitive and stretchable strain sensor based on a microcrack structure for motion monitoring
- Pt thin-film resistance thermo detectors with stable interfaces for potential integration in SiC high-temperature pressure sensors
- Ag Nanoparticle-Thiolated Chitosan Composite Coating Reinforced by Ag–S Covalent Bonds with Excellent Electromagnetic Interference Shielding and Joule Heating Performances
- Improvement mechanism of brittle-plastic transition and residual stress in scratching 4H–SiC implanted by hydrogen ions
- Mechanical properties and indentation-induced phase transformation in 4H–SiC implanted by hydrogen ions
- Improvement mechanism of brittle-plastic transition and residual stress in scratching 4H–SiC implanted by hydrogen ions
- Mechanical properties and indentation-induced phase transformation in 4H–SiC implanted by hydrogen ions
- Improvement mechanism of brittle-plastic transition and residual stress in scratching 4H–SiC implanted by hydrogen ions
- Mechanical properties and indentation-induced phase transformation in 4H–SiC implanted by hydrogen ions
- Towards retrieving aerosol chemical composition from temporal variations of total PM mass concentrations: Theoretical approach, insights, and the promise of machine learning techniques
- Towards retrieving aerosol chemical composition from temporal variations of total PM mass concentrations: Theoretical approach, insights, and the promise of machine learning techniques
- Towards retrieving aerosol chemical composition from temporal variations of total PM mass concentrations: Theoretical approach, insights, and the promise of machine learning techniques
- Towards retrieving aerosol chemical composition from temporal variations of total PM mass concentrations: Theoretical approach, insights, and the promise of machine learning techniques
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