most citedTowards Augmented Microscopy with Reinforcement Learning-Enhanced Workflows

12 citations · 12 across the 2 of their papers we have counts for

collaborators

6 papers

cond-mat.mtrl-sci20242 cited

A Processing Route to Chalcogenide Perovskites Alloys with Tunable Band Gap via Anion Exchange

Kevin Ye, Ida Sadeghi, Michael Xu +6

We demonstrate synthesis of BaZr(S,Se)3 chalcogenide perovskite alloys by selenization of BaZrS3 thin films. The anion-exchange process produces films with tunable composition and…

cond-mat.mtrl-sci2024

Two-dimensional photonic crystal cavities in ZnSe quantum well structures

Siqi Qiao, Nils von den Driesch, Xi Chen +7

ZnSe and related materials like ZnMgSe and ZnCdSe are promising II-VI host materials for optically mediated quantum information technology such as single photon sources or spin qub…

cond-mat.mtrl-sci2023

Validation of machine-learned interatomic potentials via temperature-dependent electron thermal diffuse scattering

Dennis S. Kim, Michael Xu, James M. LeBeau

Machine-learned interatomic potentials (MLIPs) show promise in accurately describing the physical properties of materials, but there is a need for a higher throughput method of val…

cond-mat.mtrl-sci202310 cited

Determination of Local Short-Range Order in TiVNbHf(Al)

Michael Xu, Shaolou Wei, Cemal C. Tasan +1

The presence of short-range chemical order can be a key factor in determining the mechanical behavior of metals, but directly and unambiguously determining its distribution in comp…

cond-mat.mtrl-sci2022

Correlating Local Chemical and Structural Order Using Geographic Information Systems-Based Spatial Statistics

Michael Xu, Abinash Kumar, James M. LeBeau

Analysis of nanoscale short-range chemical and/or structural order via (scanning) transmission electron microscopy (S/TEM) imaging is fundamentally limited by projection of the thr…

physics.ins-det202212 cited

Towards Augmented Microscopy with Reinforcement Learning-Enhanced Workflows

Michael Xu, Abinash Kumar, James M. LeBeau

Here, we report a case study implementation of reinforcement learning (RL) to automate operations in the scanning transmission electron microscopy (STEM) workflow. To do so, we des…