Discovering mesoscopic descriptions of collective movement with neural stochastic modelling. - Utkarsh Pratiush; Arshed Nabeel; Vishwesha Guttal; Prathosh AP (CoRR, 2023)

EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations. - Vaibhav Bihani; Utkarsh Pratiush; Sajid Mannan; Tao Du; Zhimin Chen; Santiago Miret; Matthieu Micoulaut; Morten M. Smedskjaer; Sayan Ranu; N. M. Anoop Krishnan (CoRR, 2023)

Human-in-the-loop: The future of Machine Learning in Automated Electron Microscopy. - Sergei V. Kalinin; Yongtao Liu; Arpan Biswas; Gerd Duscher; Utkarsh Pratiush; Kevin Roccapriore; Maxim A. Ziatdinov; Rama K. Vasudevan (CoRR, 2023)

Policy Gradient for Reinforcement Learning with General Utilities. - Navdeep Kumar; Kaixin Wang; Utkarsh Pratiush; Kfir Yehuda Levy; Shie Mannor (Tiny Papers @ ICLR, 2024)

Co-orchestration of Multiple Instruments to Uncover Structure-Property Relationships in Combinatorial Libraries. - Boris N. Slautin; Utkarsh Pratiush; Ilia N. Ivanov; Yongtao Liu; Rohit Pant; Xiaohang Zhang; Ichiro Takeuchi; Maxim A. Ziatdinov; Sergei V. Kalinin (CoRR, 2024)

Building Workflows for Interactive Human in the Loop Automated Experiment (hAE) in STEM-EELS. - Utkarsh Pratiush; Kevin M. Roccapriore; Yongtao Liu; Gerd Duscher; Maxim A. Ziatdinov; Sergei V. Kalinin (CoRR, 2024)

Integration of Scanning Probe Microscope with High-Performance Computing: fixed-policy and reward-driven workflows implementation. - Yu Liu; Utkarsh Pratiush; Jason Bemis; Roger Proksch; Reece Emery; Philip D. Rack; Yu-Chen Liu; Jan-Chi Yang; Stanislav Udovenko; Susan Trolier-McKinstry; Sergei V. Kalinin (CoRR, 2024)

Implementing dynamic high-performance computing supported workflows on Scanning Transmission Electron Microscope. - Utkarsh Pratiush; Austin Houston; Sergei V. Kalinin; Gerd Duscher (CoRR, 2024)

Invariant Discovery of Features Across Multiple Length Scales: Applications in Microscopy and Autonomous Materials Characterization. - Aditya Raghavan; Utkarsh Pratiush; Mani Valleti; Richard Liu; Reece Emery; Hiroshi Funakubo; Yongtao Liu; Philip D. Rack; Sergei V. Kalinin (CoRR, 2024)

Machine Learning-Based Reward-Driven Tuning of Scanning Probe Microscopy: Towards Fully Automated Microscopy. - Yu Liu; RogerProksch; Jason Bemis; Utkarsh Pratiush; Astita Dubey; Mahshid Ahmadi; Reece Emery; Philip D. Rack; Yu-Chen Liu; Jan-Chi Yang; Sergei V. Kalinin (CoRR, 2024)

Unsupervised Reward-Driven Image Segmentation in Automated Scanning Transmission Electron Microscopy Experiments. - Kamyar Barakati; Utkarsh Pratiush; Austin Houston; Gerd Duscher; Sergei V. Kalinin (CoRR, 2024)

Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry. - Yoel Zimmermann; Adib Bazgir; Zartashia Afzal; Fariha Agbere; Qianxiang Ai; Nawaf Alampara; Alexander Al-Feghali; Mehrad Ansari; Dmytro Antypov; Amro Aswad; Jiaru Bai; Viktoriia Baibakova; et al. (CoRR, 2024)

Rewards-based image analysis in microscopy. - Kamyar Barakati; Yu Liu; Utkarsh Pratiush; Boris N. Slautin; Sergei V. Kalinin (CoRR, 2025)

Integrating Predictive and Generative Capabilities by Latent Space Design via the DKL-VAE Model. - Boris N. Slautin; Utkarsh Pratiush; Doru C. Lupascu; Maxim A. Ziatdinov; Sergei V. Kalinin (CoRR, 2025)

Domain Switching on the Pareto Front: Multi-Objective Deep Kernel Learning in Automated Piezoresponse Force Microscopy. - Yu Liu; Utkarsh Pratiush; Kamyar Barakati; Hiroshi Funakubo; Ching-Che Lin; Jaegyu Kim; Lane W. Martin; Sergei V. Kalinin (CoRR, 2025)

Mic-hackathon 2024: Hackathon on Machine Learning for Electron and Scanning Probe Microscopy. - Utkarsh Pratiush; Austin Houston; Kamyar Barakati; Aditya Raghavan; Dasol Yoon; Harikrishnan KP; Zhaslan Baraissov; Desheng Ma; Samuel S. Welborn; Mikolaj Jakowski; Shawn-Patrick Barhorst; Alexander J. Pattison; et al. (CoRR, 2025)