Prateek Verma Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
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Biography and Research Information
OverviewAI-generated summary
Prateek Verma's research interests lie in materials science and its applications, with a focus on advanced materials for sensing and energy harvesting. His work has explored the development of ultrasensitive and stretchable strain sensors utilizing microcrack structures for motion monitoring. Verma has also investigated the mechanical properties and phase transformation behaviors of materials like 4H–SiC, particularly when implanted with hydrogen ions, examining mechanisms related to brittle-plastic transitions and residual stress. Additionally, his research includes the creation of Pt thin-film resistance thermometers for high-temperature pressure sensors and composite coatings with electromagnetic interference shielding and Joule heating capabilities. Verma has also contributed to the study of visual language models for medical imaging and microscope image analysis.
Metrics
- h-index: 12
- Publications: 71
- Citations: 617
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 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)
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Beyond Human Vision: The Role of Large Vision Language Models in Microscope Image Analysis (2024)
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Pt thin-film resistance thermo detectors with stable interfaces for potential integration in SiC high-temperature pressure sensors (2024)
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A liquid crystal-based biomaterial platform for rapid sensing of heat stress using machine learning (2024)
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On Large Visual Language Models for Medical Imaging Analysis: An Empirical Study (2024)
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Atomistic analysis on implantation effects of hydrogen ions and copper ions into 4H-SiC (2024)
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Atomistic Analysis on Implantation Effects of Hydrogen Ions and Copper Ions into 4h-Sic (2024)
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Towards retrieving aerosol chemical composition from temporal variations of total PM mass concentrations: Theoretical approach, insights, and the promise of machine learning techniques (2023)
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Ag Nanoparticle-Thiolated Chitosan Composite Coating Reinforced by Ag–S Covalent Bonds with Excellent Electromagnetic Interference Shielding and Joule Heating Performances (2023)
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An ultrasensitive and stretchable strain sensor based on a microcrack structure for motion monitoring (2022)
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Towards retrieving aerosol chemical composition from temporal variations of total PM mass concentrations: Theoretical approach, insights, and the promise of machine learning techniques (2022)
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Improvement mechanism of brittle-plastic transition and residual stress in scratching 4H–SiC implanted by hydrogen ions (2022)
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Mechanical properties and indentation-induced phase transformation in 4H–SiC implanted by hydrogen ions (2022)
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