Deep learning for electron and scanning probe microscopy: From materials design to atomic fabrication

An Automated Scanning Transmission Electron Microscope Guided by Sparse Data Analytics

(2022) Matthew Olszta et al.   MICROSCOPY AND MICROANALYSIS

Toward Decoding the Relationship between Domain Structure and Functionality in Ferroelectrics via Hidden Latent Variables

(2021) Sergei V. Kalinin et al.   ACS Applied Materials & Interfaces

Predictability of Localized Plasmonic Responses in Nanoparticle Assemblies

(2021) Kevin M. Roccapriore et al.   Small

Efficient few-shot machine learning for classification of EBSD patterns

(2021) Kevin Kaufmann et al.   Scientific Reports

Mechanism of Electron-Beam Manipulation of Single-Dopant Atoms in Silicon

(2021) Alexander Markevich et al.   Journal of Physical Chemistry C

Deep learning to establish structure property relationships of impact copolymers from AFM phase images

(2021) Dalia Yablon et al.   MRS Communications

Rapid and flexible segmentation of electron microscopy data using few-shot machine learning

(2021) Sarah Akers et al.   npj Computational Materials

Deep Bayesian local crystallography

(2021) Sergei V. Kalinin et al.   npj Computational Materials

Automated structure discovery in atomic force microscopy

(2020) Benjamin Alldritt et al.   Science Advances

Atomic-Scale Patterning of Arsenic in Silicon by Scanning Tunneling Microscopy

(2020) Taylor J. Z. Stock et al.   ACS Nano

A deep learning approach for determining the chiral indices of carbon nanotubes from high-resolution transmission electron microscopy images

(2020) G.D. Förster et al.   CARBON

Assessing the JEOL CRYO ARM 300 for high-throughput automated single-particle cryo-EM in a multiuser environment

(2020) Marcus Fislage et al.   IUCrJ

Understanding important features of deep learning models for segmentation of high-resolution transmission electron microscopy images

(2020) James P. Horwath et al.   npj Computational Materials

Automated Searching and Identification of Self-Organized Nanostructures

(2020) Oliver M. Gordon et al.   NANO LETTERS

Towards data-driven next-generation transmission electron microscopy

(2020) Steven R. Spurgeon et al.   NATURE MATERIALS

Learning from Imperfections: Predicting Structure and Thermodynamics from Atomic Imaging of Fluctuations

(2019) Lukas Vlcek et al.   ACS Nano

Engineering single-atom dynamics with electron irradiation

(2019) Cong Su et al.   Science Advances

Electron-Beam Manipulation of Silicon Impurities in Single-Walled Carbon Nanotubes

(2019) Kimmo Mustonen et al.   ADVANCED FUNCTIONAL MATERIALS

A two-qubit gate between phosphorus donor electrons in silicon

(2019) Y. He et al.   NATURE

Atom-by-atom fabrication with electron beams

(2019) Ondrej Dyck et al.   Nature Reviews Materials

Automated Real-time Analysis of Atomic-resolution STEM Images

(2019) Jacob Madsen et al.   MICROSCOPY AND MICROANALYSIS

Compressive Sensing on Diverse STEM Scans: Real-time Feedback, Low-dose and Dynamic Range

(2019) Xin Li et al.   MICROSCOPY AND MICROANALYSIS

Revealing ferroelectric switching character using deep recurrent neural networks

(2019) Joshua C. Agar et al.   Nature Communications

Implanting Germanium into Graphene

(2018) Mukesh Tripathi et al.   ACS Nano

Autonomous Scanning Probe Microscopy in Situ Tip Conditioning through Machine Learning

(2018) Mohammad Rashidi et al.   ACS Nano

Directed Atom-by-Atom Assembly of Dopants in Silicon

(2018) Bethany M. Hudak et al.   ACS Nano

Electron-Beam Manipulation of Silicon Dopants in Graphene

(2018) Mukesh Tripathi et al.   NANO LETTERS

Direct atomic fabrication and dopant positioning in Si using electron beams with active real-time image-based feedback

(2018) Stephen Jesse et al.   NANOTECHNOLOGY

Lithography for robust and editable atomic-scale silicon devices and memories

(2018) Roshan Achal et al.   Nature Communications

Electron ptychography of 2D materials to deep sub-ångström resolution

(2018) Yi Jiang et al.   NATURE

Building Structures Atom by Atom via Electron Beam Manipulation

(2018) Ondrej Dyck et al.   Small

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Imaging quantum materials

(2017) Kathryn Ann Moler   NATURE MATERIALS

The impact of STEM aberration correction on materials science

(2017) Stephen J. Pennycook   ULTRAMICROSCOPY

Manipulating low-dimensional materials down to the level of single atoms with electron irradiation

(2017) Toma Susi et al.   ULTRAMICROSCOPY

Quantification of flexoelectricity in PbTiO3/SrTiO3 superlattice polar vortices using machine learning and phase-field modeling

(2017) Q. Li et al.   Nature Communications

Directing Matter: Toward Atomic-Scale 3D Nanofabrication

(2016) Stephen Jesse et al.   ACS Nano

Big, Deep, and Smart Data in Scanning Probe Microscopy

(2016) Sergei V. Kalinin et al.   ACS Nano

Fire up the atom forge

(2016) Sergei V. Kalinin et al.   NATURE

Materials Data Science: Current Status and Future Outlook

(2015) Surya R. Kalidindi et al.   Annual Review of Materials Research

Deep learning

(2015) Yann LeCun et al.   NATURE

Atomic-Level Sculpting of Crystalline Oxides: Toward Bulk Nanofabrication with Single Atomic Plane Precision

(2015) Stephen Jesse et al.   Small

Vibrational spectroscopy in the electron microscope

(2014) Ondrej L. Krivanek et al.   NATURE

Silicon–Carbon Bond Inversions Driven by 60-keV Electrons in Graphene

(2014) Toma Susi et al.   PHYSICAL REVIEW LETTERS

Direct Determination of the Chemical Bonding of Individual Impurities in Graphene

(2012) Wu Zhou et al.   PHYSICAL REVIEW LETTERS

Atomic-scale evolution of modulated phases at the ferroelectric–antiferroelectric morphotropic phase boundary controlled by flexoelectric interaction

(2012) A.Y. Borisevich et al.   Nature Communications

Atomic precision lithography on Si

(2009) J. N. Randall et al.   JOURNAL OF VACUUM SCIENCE & TECHNOLOGY B

Atomic force microscopy as a tool for atom manipulation

(2009) Oscar Custance et al.   Nature Nanotechnology