Towards Augmented Microscopy with Reinforcement Learning-Enhanced Workflows

Magnetic control of tokamak plasmas through deep reinforcement learning

(2022) Jonas Degrave et al.   NATURE

An Automated Scanning Transmission Electron Microscope Guided by Sparse Data Analytics

(2022) Matthew Olszta et al.   MICROSCOPY AND MICROANALYSIS

TEMImageNet training library and AtomSegNet deep-learning models for high-precision atom segmentation, localization, denoising, and deblurring of atomic-resolution images

(2021) Ruoqian Lin et al.   Scientific Reports

Deep Learning‐Assisted Quantification of Atomic Dopants and Defects in 2D Materials

(2021) Sang‐Hyeok Yang et al.   Advanced Science

Deep learning for mapping element distribution of high-entropy alloys in scanning transmission electron microscopy images

(2021) Marco Ragone et al.   COMPUTATIONAL MATERIALS SCIENCE

Exploring electron beam induced atomic assembly via reinforcement learning in a molecular dynamics environment *

(2021) Rama K Vasudevan et al.   NANOTECHNOLOGY

Mastering the surface strain of platinum catalysts for efficient electrocatalysis

(2021) Tianou He et al.   NATURE

Robust autofocusing for scanning electron microscopy based on a dual deep learning network

(2021) Woojin Lee et al.   Scientific Reports

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

(2021) Sarah Akers et al.   npj Computational Materials

Revolutionary cryo-EM is taking over structural biology

(2020) Ewen Callaway   NATURE

Tracking atomic structure evolution during directed electron beam induced Si-atom motion in graphene via deep machine learning

(2020) Ziatdinov Maxim et al.   NANOTECHNOLOGY

Atomic-resolution electron microscopy of nanoscale local structure in lead-based relaxor ferroelectrics

(2020) Abinash Kumar et al.   NATURE MATERIALS

Towards data-driven next-generation transmission electron microscopy

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

A petascale automated imaging pipeline for mapping neuronal circuits with high-throughput transmission electron microscopy

(2020) Wenjing Yin et al.   Nature Communications

AutoEM: a software for automated acquisition and analysis of nanoparticles

(2019) Toni Uusimaeki et al.   JOURNAL OF NANOPARTICLE RESEARCH

Grandmaster level in StarCraft II using multi-agent reinforcement learning

(2019) Oriol Vinyals et al.   NATURE

Real-time cryo-electron microscopy data preprocessing with Warp

(2019) Dimitry Tegunov et al.   NATURE METHODS

Strengthening in multi-principal element alloys with local-chemical-order roughened dislocation pathways

(2019) Qing-Jie Li et al.   Nature Communications

Mastering the game of Go with deep neural networks and tree search

(2016) David Silver et al.   NATURE

Nanoparticles for Catalysis

(2016) Sergio Navalón et al.   Nanomaterials

Reinforcement learning in robotics: A survey

(2013) Jens Kober et al.   INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH

Detector non-uniformity in scanning transmission electron microscopy

(2012) S.D. Findlay et al.   ULTRAMICROSCOPY

Imaging “Invisible” Dopant Atoms in Semiconductor Nanocrystals

(2011) Aloysius A. Gunawan et al.   NANO LETTERS

Experimental quantification of annular dark-field images in scanning transmission electron microscopy

(2008) James M. LeBeau et al.   ULTRAMICROSCOPY