Pratiush, Utkarsh

1. Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry
   2024/11/20 by Yoel Zimmermann, Adib Bazgir, Zimmermann, Yoel +298 · 3 voices · 6 citations
   Engineering · #Biomedical and Engineering Education
2. EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations
   2023/10/03 by Vaibhav Bihani, Utkarsh Pratiush, Bihani, Vaibhav +17 · 4 citations
   Materials Science · Biochemistry, Genetics and Molecular Biology · Computer Science · #Machine Learning in Materials Science #Protein Structure and Dynamics #Topic Modeling
3. Scientific Exploration with Expert Knowledge (SEEK) in Autonomous Scanning Probe Microscopy with Active Learning
   2024/08/04 by Utkarsh Pratiush, Hiroshi Funakubo, Pratiush, Utkarsh +7 · 5 citations
   Engineering · Physics and Astronomy · #Advanced Materials Characterization Techniques #Advanced Surface Polishing Techniques #Applied Physics (physics.app-ph) #FOS: Physical sciences #Force Microscopy Techniques and Applications #Materials Science (cond-mat.mtrl-sci)
4. Human-in-the-loop: The future of Machine Learning in Automated Electron Microscopy
   2023/10/08 by Sergei V. Kalinin, Yongtao Liu, Kalinin, Sergei V. +13 · 2 citations
   Decision Sciences · Materials Science · #Electron and X-Ray Spectroscopy Techniques #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #Scientific Computing and Data Management #electronic engineering #information engineering
5. Building Workflows for Interactive Human in the Loop Automated Experiment (hAE) in STEM-EELS
   2024/04/10 by Utkarsh Pratiush, Pratiush, Utkarsh, Kevin M. Roccapriore +9 · 2 citations
   Materials Science · Biochemistry, Genetics and Molecular Biology · #Electron and X-Ray Spectroscopy Techniques #Machine Learning in Materials Science #Advanced Electron Microscopy Techniques and Applications
6. Integrating Predictive and Generative Capabilities by Latent Space Design via the DKL-VAE Model
   2025/03/04 by Slautin, Boris N., Pratiush, Utkarsh, Lupascu, Doru C. +2 · 3 citations
   #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Materials Science (cond-mat.mtrl-sci)
7. Unsupervised Reward-Driven Image Segmentation in Automated Scanning Transmission Electron Microscopy Experiments
   2024/09/19 by Kamyar Barakati, Utkarsh Pratiush, Barakati, Kamyar +7 · 1 citation
   Materials Science · #Electron and X-Ray Spectroscopy Techniques #FOS: Computer and information sciences #FOS: Physical sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci)