15 citations · 21 across the 5 of their papers we have counts for
5 papers
A dynamic Bayesian optimized active recommender system for curiosity-driven Human-in-the-loop automated experiments
Arpan Biswas, Yongtao Liu, Nicole Creange +6
Optimization of experimental materials synthesis and characterization through active learning methods has been growing over the last decade, with examples ranging from measurements…
Towards Automating Structural Discovery in Scanning Transmission Electron Microscopy
Nicole Creange, Ondrej Dyck, Rama K. Vasudevan +2
Scanning transmission electron microscopy (STEM) is now the primary tool for exploring functional materials on the atomic level. Often, features of interest are highly localized in…
Identification and Correction of Temporal and Spatial Distortions in Scanning Transmission Electron Microscopy
Kevin M. Roccapriore, Nicole Creange, Maxim Ziatdinov +1
Scanning transmission electron microscopy (STEM) has become the technique of choice for quantitative characterization of atomic structure of materials, where the minute displacemen…
Predictability as a probe of manifest and latent physics: The case of atomic scale structural, chemical, and polarization behaviors in multiferroic Sm-doped BiFeO3
Maxim Ziatdinov, Nicole Creange, Xiaohang Zhang +6
The predictability of a certain effect or phenomenon is often equated with the knowledge of relevant physical laws, typically understood as a functional or numerically derived rela…
Computational investigation of the electronic and optical properties of planar Ga-doped Graphene
Nicole Creange, Costel Constantin, Jian-Xin Zhu +2
We simulate the optical and electrical responses in gallium-doped graphene. Using density functional theory with a local density approximation, we simlutate the electronic band str…