activity
20242026
most citedRoadmap on Atomic-scale Semiconductor Devices

20 citations · 27 across the 11 of their papers we have counts for

collaborators
Showing cond-mat.mtrl-sciShow all

6 papers · 1 filter

cond-mat.mtrl-sci2026

Hierarchical automation of scanning probe microscopy through agentic orchestration and algorithmic control

Boris N. Slautin, Sheryl L. Sanchez, Aidan Swanger +5

Rapid advances in agentic artificial intelligence enable scientific systems to interpret open-ended objectives, combine heterogeneous information, invoke specialized tools, and rev…

cond-mat.mtrl-sci2026★ 1 cited

Dynamic Multiband Microscopy: A Universal Paradigm for Quantitative Nanoscale Metrology

Boris N. Slautin, Alwikh Rohi, Sanjay Mathur +4

Scanning Probe Microscopy (SPM) is the primary tool for exploring nanoscale functionality, yet standard single-frequency operation is fundamentally limited, because the dynamic tip…

cond-mat.mtrl-sci2025

Attention-Based Explainability for Structure-Property Relationships

Boris N. Slautin, Utkarsh Pratiush, Yongtao Liu +4

Machine learning methods are emerging as a universal paradigm for constructing correlative structure-property relationships in materials science based on multimodal characterizatio…

cond-mat.mtrl-sci2025★ 1 cited

Mic-hackathon 2024: Hackathon on Machine Learning for Electron and Scanning Probe Microscopy

Utkarsh Pratiush, Austin Houston, Kamyar Barakati +70

Microscopy is a primary source of information on materials structure and functionality at nanometer and atomic scales. The data generated is often well-structured, enriched with me…

cond-mat.mtrl-sci2025

Domain Switching on the Pareto Front: Multi-Objective Deep Kernel Learning in Automated Piezoresponse Force Microscopy

Yu Liu, Utkarsh Pratiush, Kamyar Barakati +5

Ferroelectric polarization switching underpins the functional performance of a wide range of materials and devices, yet its dependence on complex local microstructural features ren…

cond-mat.mtrl-sci2024★ 1 cited

Unsupervised Reward-Driven Image Segmentation in Automated Scanning Transmission Electron Microscopy Experiments

Kamyar Barakati, Utkarsh Pratiush, Austin C. Houston +2

Automated experiments in scanning transmission electron microscopy (STEM) require rapid image segmentation to optimize data representation for human interpretation, decision-making…