activity
20192024
most citedAtomAI: A Deep Learning Framework for Analysis of Image and Spectroscopy Data in (Scanning) Transmission Electron Microscopy and Beyond

138 citations · 392 across the 23 of their papers we have counts for

collaborators
Showing 2023Show all

6 papers · 1 filter

cond-mat.mtrl-sci2023

When the atoms dance: exploring mechanisms of electron-beam induced modifications of materials with machine-learning assisted high temporal resolution electron microscopy

Matthew G. Boebinger, Ayana Ghosh, Kevin M. Roccapriore +6

Directed atomic fabrication using an aberration-corrected scanning transmission electron microscope (STEM) opens new pathways for atomic engineering of functional materials. In thi…

cond-mat.mtrl-sci2023

Bending-induced isostructural transitions in ultrathin layers of van der Waals ferrielectrics

Anna N. Morozovska, Eugene A. Eliseev, Yongtao Liu +8

Using Landau-Ginzburg-Devonshire (LGD) phenomenological approach we analyze the bending-induced re-distribution of electric polarization and field, elastic stresses and strains ins…

cond-mat.mtrl-sci2023★ 2 cited

Anomalous Polarization Reversal in Strained Thin Films of CuInPS

Anna N. Morozovska, Eugene A. Eliseev, Ayana Ghosh +3

Strain-induced transitions of polarization reversal in thin films of a ferrielectric CuInPS (CIPS) with ideally-conductive electrodes is explored using the Landau-Ginzburg-…

cond-mat.mtrl-sci2023★ 109 cited

Deep Learning for Automated Experimentation in Scanning Transmission Electron Microscopy

Sergei V. Kalinin, Debangshu Mukherjee, Kevin M. Roccapriore +9

Machine learning (ML) has become critical for post-acquisition data analysis in (scanning) transmission electron microscopy, (S)TEM, imaging and spectroscopy. An emerging trend is…

cond-mat.mtrl-sci2023★ 1 cited

Designing Workflows for Materials Characterization

Sergei V. Kalinin, Maxim Ziatdinov, Mahshid Ahmadi +4

Experimental science is enabled by the combination of synthesis, imaging, and functional characterization. Synthesis of a new material is typically followed by a set of characteriz…

cs.LG2023★ 9 cited

Discovery of structure-property relations for molecules via hypothesis-driven active learning over the chemical space

Ayana Ghosh, Sergei V. Kalinin, Maxim A. Ziatdinov

Discovery of the molecular candidates for applications in drug targets, biomolecular systems, catalysts, photovoltaics, organic electronics, and batteries, necessitates development…