相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Towards data-driven next-generation transmission electron microscopy
Steven R. Spurgeon et al.
NATURE MATERIALS (2021)
Auto-encoder-based generative models for data augmentation on regression problems
Hiroshi Ohno
SOFT COMPUTING (2020)
Training data augmentation: An empirical study using generative adversarial net-based approach with normalizing flow models for materials informatics
Hiroshi Ohno
APPLIED SOFT COMPUTING (2020)
TomoGAN: low-dose synchrotron x-ray tomography with generative adversarial networks: discussion
Zhengchun Liu et al.
JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION (2020)
Optimizing convolutional neural networks to perform semantic segmentation on large materials imaging datasets: X-ray tomography and serial sectioning
Tiberiu Stan et al.
MATERIALS CHARACTERIZATION (2020)
Direct Visualization of Lithium Polysulfides and Their Suppression in Liquid Electrolyte
Hyeon Kook Seo et al.
NANO LETTERS (2020)
Closed-loop optimization of fast-charging protocols for batteries with machine learning
Peter M. Attia et al.
NATURE (2020)
Crystal symmetry determination in electron diffraction using machine learning
Kevin Kaufmann et al.
SCIENCE (2020)
A Critical Review of Machine Learning of Energy Materials
Chi Chen et al.
ADVANCED ENERGY MATERIALS (2020)
Semi-supervised learning approaches to class assignment in ambiguous microstructures
Courtney Kunselman et al.
ACTA MATERIALIA (2020)
Machine Learning in Materials Discovery: Confirmed Predictions and Their Underlying Approaches
James E. Saal et al.
Annual Review of Materials Research (2020)
Growing field of materials informatics: databases and artificial intelligence
Alejandro Lopez-Bezanilla et al.
MRS COMMUNICATIONS (2020)
Machine-learning-revealed statistics of the particle-carbon/binder detachment in lithium-ion battery cathodes
Zhisen Jiang et al.
NATURE COMMUNICATIONS (2020)
A reflection on lithium-ion battery cathode chemistry
Arumugam Manthiram
NATURE COMMUNICATIONS (2020)
Synthesis of Metallopolymers and Direct Visualization of the Single Polymer Chain
Zhikai Li et al.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY (2020)
Phase Mapping in EBSD Using Convolutional Neural Networks
Kevin Kaufmann et al.
MICROSCOPY AND MICROANALYSIS (2020)
Nanoscale x-ray and electron tomography
Yan Hanfei et al.
MRS BULLETIN (2020)
Two-Dimensional Molecular Charge Density Waves in Single-Layer-Thick Islands of a Dirac Fermion System
Kyaw Zin Latt et al.
ACS NANO (2020)
Machine learning approaches for the prediction of materials properties
Siwar Chibani et al.
APL MATERIALS (2020)
Machine Learning to Reveal Nanoparticle Dynamics from Liquid-Phase TEM Videos
Lehan Yao et al.
ACS CENTRAL SCIENCE (2020)
Understanding important features of deep learning models for segmentation of high-resolution transmission electron microscopy images
James P. Horwath et al.
NPJ COMPUTATIONAL MATERIALS (2020)
Machine Learning-Enabled Design of Point Defects in 2D Materials for Quantum and Neuromorphic Information Processing
Nathan C. Frey et al.
ACS NANO (2020)
3-D Inorganic Crystal Structure Generation and Property Prediction via Representation Learning
Callum J. Court et al.
JOURNAL OF CHEMICAL INFORMATION AND MODELING (2020)
AiiDA 1.0, a scalable computational infrastructure for automated reproducible workflows and data provenance
Sebastiaan P. Huber et al.
SCIENTIFIC DATA (2020)
Data augmentation in microscopic images for material data mining
Boyuan Ma et al.
NPJ COMPUTATIONAL MATERIALS (2020)
Breaking the elastic limit of piezoelectric ceramics using nanostructures: A case study using ZnO
Hoon Kim et al.
NANO ENERGY (2020)
Degradation Mechanisms and Mitigation Strategies of Nickel-Rich NMC-Based Lithium-Ion Batteries
Tianyu Li et al.
ELECTROCHEMICAL ENERGY REVIEWS (2020)
Application of a long short-term memory for deconvoluting conductance contributions at charged ferroelectric domain walls
Theodor S. Holstad et al.
NPJ COMPUTATIONAL MATERIALS (2020)
The joint automated repository for various integrated simulations (JARVIS) for data-driven materials design
Kamal Choudhary et al.
NPJ COMPUTATIONAL MATERIALS (2020)
Machine-enabled inverse design of inorganic solid materials: promises and challenges
Juhwan Noh et al.
CHEMICAL SCIENCE (2020)
Visualization of Functional Components in a Lithium Silicon Titanium Phosphate-Natural Graphite Composite Anode
Hongjun Kim et al.
ACS APPLIED ENERGY MATERIALS (2020)
The 2019 materials by design roadmap
Kirstin Alberi et al.
JOURNAL OF PHYSICS D-APPLIED PHYSICS (2019)
Revealing the Surface Effect of the Soluble Catalyst on Oxygen Reduction/Evolution in Li-O2 Batteries
Zhen-Zhen Shen et al.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY (2019)
New frontiers for the materials genome initiative
Juan J. de Pablo et al.
NPJ COMPUTATIONAL MATERIALS (2019)
Quantitative Electromechanical Atomic Force Microscopy
Liam Collins et al.
ACS NANO (2019)
Anomalous metal segregation in lithium-rich material provides design rules for stable cathode in lithium-ion battery
Ruoqian Lin et al.
NATURE COMMUNICATIONS (2019)
Strong stress-composition coupling in lithium alloy nanoparticles
Hyeon Kook Seo et al.
NATURE COMMUNICATIONS (2019)
Optimized electrochemical performance of Ni rich LiNi0.91Co0.06Mn0.03O2 cathodes for high-energy lithium ion batteries
Seung-Hwan Lee et al.
SCIENTIFIC REPORTS (2019)
Machine-learning-assisted discovery of polymers with high thermal conductivity using a molecular design algorithm
Stephen Wu et al.
NPJ COMPUTATIONAL MATERIALS (2019)
Toward Electrochemical Studies on the Nanometer and Atomic Scales: Progress, Challenges, and Opportunities
Sergei V. Kalinin et al.
ACS NANO (2019)
Machine Learning for High Throughput HRTEM Analysis
Catherine Groschner et al.
MICROSCOPY AND MICROANALYSIS (2019)
Data-driven discovery of coordinates and governing equations
Kathleen Champion et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2019)
Revealing ferroelectric switching character using deep recurrent neural networks
Joshua C. Agar et al.
NATURE COMMUNICATIONS (2019)
Text-mined dataset of inorganic materials synthesis recipes
Olga Kononova et al.
SCIENTIFIC DATA (2019)
Decoding crystallography from high-resolution electron imaging and diffraction datasets with deep learning
J. A. Aguiar et al.
SCIENCE ADVANCES (2019)
Visualization of regulated nucleation and growth of lithium sulfides for high energy lithium sulfur batteries
Zheng-Long Xu et al.
ENERGY & ENVIRONMENTAL SCIENCE (2019)
Machine Detection of Enhanced Electromechanical Energy Conversion in PbZr0.2Ti0.8O3 Thin Films
Joshua C. Agar et al.
ADVANCED MATERIALS (2018)
30 Years of Lithium-Ion Batteries
Matthew Li et al.
ADVANCED MATERIALS (2018)
Data mining for better material synthesis: The case of pulsed laser deposition of complex oxides
Steven R. Young et al.
JOURNAL OF APPLIED PHYSICS (2018)
Urea-based hydrothermal synthesis of LiNi0.5Co0.2Mn0.3O2 cathode material It for Li-ion battery
Yang Shi et al.
JOURNAL OF POWER SOURCES (2018)
Determining the Facile Routes for Oxygen Evolution Reaction by In Situ Probing of Li-O-2 Cells with Conformal Li2O2 Films
Misun Hong et al.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY (2018)
A quantifiable and automated volume fraction characterization technique for secondary and tertiary γ′ precipitates in Ni-based superalloys
T. M. Smith et al.
MATERIALS CHARACTERIZATION (2018)
Scanning probe-type data storage beyond hard disk drive and flash memory
Yasuo Cho et al.
MRS BULLETIN (2018)
Direct imaging of the electron liquid at oxide interfaces
Kyung Song et al.
NATURE NANOTECHNOLOGY (2018)
Nanostructuring one-dimensional and amorphous lithium peroxide for high round-trip efficiency in lithium-oxygen batteries
Arghya Dutta et al.
NATURE COMMUNICATIONS (2018)
Insightful classification of crystal structures using deep learning
Angelo Ziletti et al.
NATURE COMMUNICATIONS (2018)
An open experimental database for exploring inorganic materials
Andriy Zakutayev et al.
SCIENTIFIC DATA (2018)
Computational screening of high-performance optoelectronic materials using OptB88vdW and TB-mBJ formalisms
Kamal Choudhary et al.
SCIENTIFIC DATA (2018)
Automated defect analysis in electron microscopic images
Wei Li et al.
NPJ COMPUTATIONAL MATERIALS (2018)
Fast inference of deep neural networks in FPGAs for particle physics
J. Duarte et al.
JOURNAL OF INSTRUMENTATION (2018)
NOMAD: The FAIR concept for big data-driven materials science
Claudia Draxl et al.
MRS BULLETIN (2018)
Quantitative characterization of the ionic mobility and concentration in Li-battery cathodes via low frequency electrochemical strain microscopy
D. O. Alikin et al.
NANOSCALE (2018)
Building Structures Atom by Atom via Electron Beam Manipulation
Ondrej Dyck et al.
SMALL (2018)
Machine learning assisted optimization of electrochemical properties for Ni-rich cathode materials
Kyoungmin Min et al.
SCIENTIFIC REPORTS (2018)
Remarkably Improved Electrochemical Performance of Li- and Mn-Rich Cathodes upon Substitution of Mn with Ni
Prasant Kumar Nayak et al.
ACS APPLIED MATERIALS & INTERFACES (2017)
Membrane crystallinity and fuel crossover in direct ethanol fuel cells with Nafion composite membranes containing phosphotungstic acid
Hongjun Kim et al.
JOURNAL OF MATERIALS SCIENCE (2017)
Mastering the game of Go without human knowledge
David Silver et al.
NATURE (2017)
Deciphering chemical order/disorder and material properties at the single-atom level
Yongsoo Yang et al.
NATURE (2017)
A convolutional neural network approach to calibrating the rotation axis for X-ray computed tomography
Xiaogang Yang et al.
JOURNAL OF SYNCHROTRON RADIATION (2017)
Elaborately Designed Micro-Mesoporous Graphitic Carbon Spheres as Efficient Polysulfide Reservoir for Lithium-Sulfur Batteries
Jiahui Zheng et al.
ACS ENERGY LETTERS (2017)
GENFIRE: A generalized Fourier iterative reconstruction algorithm for high-resolution 3D imaging
Alan Pryor et al.
SCIENTIFIC REPORTS (2017)
Deep Learning of Atomically Resolved Scanning Transmission Electron Microscopy Images: Chemical Identification and Tracking Local Transformations
Maxim Ziatdinov et al.
ACS NANO (2017)
Strengthening and strain hardening mechanisms in a precipitation-hardened high-Mn lightweight steel
M. J. Yao et al.
ACTA MATERIALIA (2017)
Atomate: A high-level interface to generate, execute, and analyze computational materials science workflows
Kiran Mathew et al.
COMPUTATIONAL MATERIALS SCIENCE (2017)
Exploring the microstructure manifold: Image texture representations applied to ultrahigh carbon steel microstructures
Brian L. DeCost et al.
ACTA MATERIALIA (2017)
In Situ Observation of Oxygen Vacancy Dynamics and Ordering in the Epitaxial LaCoO3 System
Jae Hyuck Jang et al.
ACS NANO (2017)
Scalable Synthesis of Honeycomb-like Ordered Mesoporous Carbon Nanosheets and Their Application in Lithium-Sulfur Batteries
Seung-Keun Park et al.
ACS APPLIED MATERIALS & INTERFACES (2017)
Real-Time Observation of Water-Soluble Mineral Precipitation in Aqueous Solution by In Situ High-Resolution Electron Microscopy
Jong Min Yuk et al.
ACS NANO (2016)
Imaging Ferroelectric Domains and Domain Walls Using Charge Gradient Microscopy: Role of Screening Charges
Sheng Tong et al.
ACS NANO (2016)
Big, Deep, and Smart Data in Scanning Probe Microscopy
Sergei V. Kalinin et al.
ACS NANO (2016)
The Materials Data Facility: Data Services to Advance Materials Science Research
B. Blaiszik et al.
JOM (2016)
Materials Data Infrastructure: A Case Study of the Citrination Platform to Examine Data Import, Storage, and Access
Jordan O'Mara et al.
JOM (2016)
Mastering the game of Go with deep neural networks and tree search
David Silver et al.
NATURE (2016)
Machine-learning-assisted materials discovery using failed experiments
Paul Raccuglia et al.
NATURE (2016)
Screening mechanisms at polar oxide heterointerfaces
Seungbum Hong et al.
REPORTS ON PROGRESS IN PHYSICS (2016)
Cybermaterials: materials by design and accelerated insertion of materials
Wei Xiong et al.
NPJ COMPUTATIONAL MATERIALS (2016)
Enhancement of Local Piezoresponse in Polymer Ferroelectrics via Nanoscale Control of Microstructure
Yoon-Young Choi et al.
ACS NANO (2015)
Accelerating Electrolyte Discovery for Energy Storage with High-Throughput Screening
Lei Cheng et al.
JOURNAL OF PHYSICAL CHEMISTRY LETTERS (2015)
Big-deep-smart data in imaging for guiding materials design
Sergei V. Kalinin et al.
NATURE MATERIALS (2015)
In situ studies of lithium-ion diffusion in a lithium-rich thin film cathode by scanning probe microscopy techniques
Shan Yang et al.
PHYSICAL CHEMISTRY CHEMICAL PHYSICS (2015)
Visualizing nanoscale 3D compositional fluctuation of lithium in advanced lithium-ion battery cathodes
A. Devaraj et al.
NATURE COMMUNICATIONS (2015)
The Open Quantum Materials Database (OQMD): assessing the accuracy of DFT formation energies
Scott Kirklin et al.
npj Computational Materials (2015)
Big data and deep data in scanning and electron microscopies: deriving functionality from multidimensional data sets
Alex Belianinov et al.
ADVANCED STRUCTURAL AND CHEMICAL IMAGING (2015)
X-ray Irradiation Induced Reversible Resistance Change in Pt/TiO2/Pt Cells
Seo Hyoung Chang et al.
ACS NANO (2014)
Direct Observation of Dopant Atom Diffusion in a Bulk Semiconductor Crystal Enhanced by a Large Size Mismatch
Ryo Ishikawa et al.
PHYSICAL REVIEW LETTERS (2014)
Charge gradient microscopy
Seungbum Hong et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2014)
Imaging atomic-level random walk of a point defect in graphene
Jani Kotakoski et al.
NATURE COMMUNICATIONS (2014)
In Situ AFM Imaging of Li-O2 Electrochemical Reaction on Highly Oriented Pyrolytic Graphite with Ether-Based Electrolyte
Rui Wen et al.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY (2013)
The Li-Ion Rechargeable Battery: A Perspective
John B. Goodenough et al.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY (2013)
The high-throughput highway to computational materials design
Stefano Curtarolo et al.
NATURE MATERIALS (2013)
XEDS STEM tomography for 3D chemical characterization of nanoscale particles
Arda Genc et al.
ULTRAMICROSCOPY (2013)
Commentary: The Materials Project: A materials genome approach to accelerating materials innovation
Anubhav Jain et al.
APL MATERIALS (2013)
AFLOW: An automatic framework for high-throughput materials discovery
Stefano Curtarolo et al.
COMPUTATIONAL MATERIALS SCIENCE (2012)
Conflicting Roles of Nickel in Controlling Cathode Performance in Lithium Ion Batteries
Meng Gu et al.
NANO LETTERS (2012)
Local Detection of Activation Energy for Ionic Transport in Lithium Cobalt Oxide
Nina Balke et al.
NANO LETTERS (2012)
High-Resolution Field Effect Sensing of Ferroelectric Charges
Hyoungsoo Ko et al.
NANO LETTERS (2011)
Nanoscale mapping of ion diffusion in a lithium-ion battery cathode
N. Balke et al.
NATURE NANOTECHNOLOGY (2010)
Electromechanical Imaging and Spectroscopy of Ferroelectric and Piezoelectric Materials: State of the Art and Prospects for the Future
Nina Balke et al.
JOURNAL OF THE AMERICAN CERAMIC SOCIETY (2009)
A highly ordered nanostructured carbon-sulphur cathode for lithium-sulphur batteries
Xiulei Ji et al.
NATURE MATERIALS (2009)
Scanning Nonlinear Dielectric Microscopy Nano-Science and Technology for Next Generation High Density Ferroelectric Data Storage
Kenkou Tanaka et al.
JAPANESE JOURNAL OF APPLIED PHYSICS (2008)
Ferroelectric thin films: Review of materials, properties, and applications
N. Setter et al.
JOURNAL OF APPLIED PHYSICS (2006)
Scanning resistive probe microscopy: Imaging ferroelectric domains
H Park et al.
APPLIED PHYSICS LETTERS (2004)
Ferroelectricity in ultrathin perovskite films
DD Fong et al.
SCIENCE (2004)
Evidence for forward domain growth being rate-limiting step in polarization switching in ⟨111⟩-oriented-Pb(Zr0.45Ti0.55)O3 thin-film capacitors
SB Hong et al.
APPLIED PHYSICS LETTERS (2002)
New developments in the Inorganic Crystal Structure Database (ICSD): accessibility in support of materials research and design
A Belsky et al.
ACTA CRYSTALLOGRAPHICA SECTION B-STRUCTURAL SCIENCE (2002)
Principle of ferroelectric domain imaging using atomic force microscope
S Hong et al.
JOURNAL OF APPLIED PHYSICS (2001)
分享论文
