most citedBayesian Co-Navigation of a Computational Physical Model and AFM Experiment to Autonomously Survey a Combinatorial Materials Library

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

cond-mat.mtrl-sci2026

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 +3

Combinatorial materials libraries are an efficient route to generate large families of candidate compositions, but their impact is often limited by the speed and depth of character…

cond-mat.mtrl-sci20251 cited

Bayesian Co-Navigation of a Computational Physical Model and AFM Experiment to Autonomously Survey a Combinatorial Materials Library

Boris N. Slautin, Kamyar Barakati, Yu Liu +3

Building autonomous experiment workflows requires transcending beyond the data-driven surrogate models to incorporate and dynamically refine physical theory during exploration. Her…

cond-mat.mtrl-sci2025

Accelerated Materials Discovery through Cost-Aware Bayesian Optimization of Real-World Indentation Workflows

Vivek Chawla, Stephen Puplampu, Haochen Zhu +3

Accelerating the discovery of mechanical properties in combinatorial materials requires autonomous experimentation that accounts for both instrument behavior and experimental cost.…

cond-mat.mtrl-sci2025

Morphotropic Phase Boundary (MPB) Induced Enhancement of Ferroelectric and Piezoelectric Properties in Li and Ta modified K0.5Na0.5NbO3

Satyaranjan Sahoo, Dhiren K. Pradhan, Shalini Kumari +9

Lead-free (K0.48Na0.48Li0.04)(Nb1-xTax)O3 (KNLNT-x) ceramics were synthesized to study the effects of Li and Ta substitution on phase transition behavior, microstructure, and ferro…

cs.CV2025

SAM: Task-Adaptive SAM with Physics-Guided Rewards

Kamyar Barakati, Utkarsh Pratiush, Sheryl L. Sanchez +5

Image segmentation is a critical task in microscopy, essential for accurately analyzing and interpreting complex visual data. This task can be performed using custom models trained…

cond-mat.mtrl-sci2025

Materials Discovery in Combinatorial and High-throughput Synthesis and Processing: A New Frontier for SPM

Boris N. Slautin, Yongtao Liu, Kamyar Barakati +13

For over three decades, scanning probe microscopy (SPM) has been a key method for exploring material structures and functionalities at nanometer and often atomic scales in ambient,…