Kamyar Barakati

According to our database, Kamyar Barakati authored at least 14 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

LLM-Guided Open Hypothesis Learning from Autonomous Scanning Probe Microscopy Experiments.

Boris N. Slautin, Utkarsh Pratiush, Yu Liu, Kamyar Barakati, Sergei V. Kalinin

CoRR, May, 2026

PATHFINDER: Multi-objective discovery in structural and spectral spaces.

Kamyar Barakati, Boris N. Slautin, Utkarsh Pratiush, Hiroshi Funakubo, Sergei V. Kalinin

CoRR, April, 2026

Novelty-Driven Target-Space Discovery in Automated Electron and Scanning Probe Microscopy.

Utkarsh Pratiush, Kamyar Barakati, Boris N. Slautin, Catherine C. Bodinger, Christopher D. Lowe, Brandi M. Cossairt, Sergei V. Kalinin

CoRR, March, 2026

Autonomous Probe Microscopy with Robust Bag-of-Features Multi-Objective Bayesian Optimization: Pareto-Front Mapping of Nanoscale Structure-Property Trade-Offs.

Kamyar Barakati, Haochen Zhu, C. Charlotte Buchanan, Dustin A. Gilbert, Philip D. Rack, Sergei V. Kalinin

CoRR, January, 2026

2025

Reward driven discovery of the optimal microstructure representations with invariant variational autoencoders.

Boris N. Slautin, Kamyar Barakati, Hiroshi Funakubo, Maxim A. Ziatdinov, Vladimir V. Shvartsman, Doru C. Lupascu, Sergei V. Kalinin

CoRR, October, 2025

SAM^*: Task-Adaptive SAM with Physics-Guided Rewards.

Kamyar Barakati, Utkarsh Pratiush, Sheryl Sanchez, Aditya Raghavan, Delia J. Milliron, Mahshid Ahmadi, Philip D. Rack, Sergei V. Kalinin

CoRR, September, 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, June, 2025

Exploring Domain Wall Pinning in Ferroelectrics via Automated High Throughput AFM.

Kamyar Barakati, Yu Liu, Hiroshi Funakubo, Sergei V. Kalinin

CoRR, May, 2025

Causal Discovery from Data Assisted by Large Language Models.

Kamyar Barakati, Alexander Molak, Chris Nelson, Xiaohang Zhang, Ichiro Takeuchi, Sergei V. Kalinin

CoRR, March, 2025

Rewards-based image analysis in microscopy.

Kamyar Barakati, Yu Liu, Utkarsh Pratiush, Boris N. Slautin, Sergei V. Kalinin

CoRR, February, 2025

Mic-hackathon 2024: hackathon on machine learning for electron and scanning probe microscopy.

Utkarsh Pratiush, Austin Houston, Kamyar Barakati, Aditya Raghavan, Ralph Bulanadi, Xiangyu Yin, Samuel S. Welborn, Dasol Yoon, Harikrishnan KP, Zhaslan Baraissov, Desheng Ma, Mikolaj Jakowski, Shawn-Patrick Barhorst, Alexander J. Pattison, Panayotis Manganaris, Sita Sirisha Madugula, Sai Venkata Gayathri Ayyagari, Vishal Kennedy, Michelle Wang, Kieran J. Pang, Ian Addison-Smith, Willy Menacho, Horacio V. Guzman, Alexander Kiefer, Nicholas Furth, Nikola L. Kolev, Mikhail Petrov, Viktoriia Liu, Sergey Ilyev, Srikar Rairao, Tommaso Rodani, Ivan Pinto-Huguet, Xuli Chen, Josep Cruañes, Marta Torrens, Jovan Pomar, Fanzhi Su, Pawan Vedanti, Zhiheng Lyu, Xingzhi Wang, Lehan Yao, Amir Taqieddin, Forrest Laskowski, Yu-Tsun Shao, Benjamin Fein-Ashley, Yi Jiang, Vineet Kumar, Himanshu Mishra, Yogesh Paul, Adib Bazgir, Rama Chandra Praneeth Madugula, Yuwen Zhang, Pravan Omprakash, Jian Huang, Eric Montufar-Morales, Vivek Chawla, Harshit Sethi, Jie Huang, Lauri Kurki, Grace Guinan, Addison Salvador, Arman H. Ter-Petrosyan, Madeline Van Winkle, Steven R. Spurgeon, Ganesh Narasimha, Zijie Wu, Richard Liu, Yongtao Liu, Boris N. Slautin, Andrew R. Lupini, Rama K. Vasudevan, Gerd Duscher, Sergei V. Kalinin

Mach. Learn. Sci. Technol., 2025

2024

Reward driven workflows for unsupervised explainable analysis of phases and ferroic variants from atomically resolved imaging data.

Kamyar Barakati, Yu Liu, Chris Nelson, Maxim A. Ziatdinov, Xiaohang Zhang, Ichiro Takeuchi, 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

Physics-based reward driven image analysis in microscopy.

Kamyar Barakati, Hui Yuan, Amit Goyal, Sergei V. Kalinin

CoRR, 2024