Reward Driven Workflows for Unsupervised Explainable Analysis of Phases and Ferroic Variants From Atomically Resolved Imaging Data
2025 · Advanced Materials · 6 citations
https://doi.org/10.1002/adma.202418927
K
Kamyar Barakati
Claim or correct this author profile
Claim this profile or suggest corrections to the name, affiliation, bio, photo, or paper titles. Approved changes appear as verified CitedEvidence overlays.
31
Papers
21
Citations
3
h-index
0
i10-index
Kamyar Barakati is an academic researcher from University of Tennessee at Knoxville. The author has contributed to research in topics: Machine Learning in Materials Science & Cell Image Analysis Techniques & Advanced Electron Microscopy Techniques and Applications. The author has an h-index of 3, co-authored 27 publications.
ORCID: 0000-0003-3487-6652Papers by this author
worksMic-hackathon 2024: hackathon on machine learning for electron and scanning probe microscopy
2025 · Machine Learning Science and Technology · 0 citations
https://doi.org/10.1088/2632-2153/ae1f5d
Autonomous Probe Microscopy with Robust Bag-of-Features Multi-Objective Bayesian Optimization: Pareto-Front Mapping of Nanoscale Structure-Property Trade-Offs
2026 · ArXiv.org · 0 citations
Research topics
topicsChat about Author
Papers
Chat
Click to start Chat