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。Li6SiO4Cl2: A Hexagonal Argyrodite Based on Antiperovskite Layer Stacking
Alexandra Morscher et al.
CHEMISTRY OF MATERIALS (2021)
Li4-xSbxSn1-xS4 solid solutions for air-stable solid electrolytes
Zhuoran Zhang et al.
JOURNAL OF ENERGY CHEMISTRY (2020)
New materials physics
Paul C. Canfield
REPORTS ON PROGRESS IN PHYSICS (2020)
Li+ conduction in air-stable Sb-Substituted Li4SnS4 for all-solid-state Li-Ion batteries
Hiram Kwak et al.
JOURNAL OF POWER SOURCES (2020)
Interfaces and Interphases in All-Solid-State Batteries with Inorganic Solid Electrolytes
Abhik Banerjee et al.
CHEMICAL REVIEWS (2020)
Human-computer collaboration for skin cancer recognition
Philipp Tschandl et al.
NATURE MEDICINE (2020)
Chemically directed structure evolution for crystal structure prediction
Paul M. Sharp et al.
PHYSICAL CHEMISTRY CHEMICAL PHYSICS (2020)
Unsupervised word embeddings capture latent knowledge from materials science literature
Vahe Tshitoyan et al.
NATURE (2019)
Recent developments in the Inorganic Crystal Structure Database: theoretical crystal structure data and related features
D. Zagorac et al.
JOURNAL OF APPLIED CRYSTALLOGRAPHY (2019)
Computationally Guided Discovery of the Sulfide Li3AlS3 in the Li-Al-S Phase Field: Structure and Lithium Conductivity
Jacinthe Gamon et al.
CHEMISTRY OF MATERIALS (2019)
Machine Learning-Assisted Discovery of Solid Li-Ion Conducting Materials
Austin D. Sendek et al.
CHEMISTRY OF MATERIALS (2019)
Double-slit photoelectron interference in strong-field ionization of the neon dimer
Maksim Kunitski et al.
NATURE COMMUNICATIONS (2019)
Heteroanionic Materials by Design: Progress Toward Targeted Properties
Jaye K. Harada et al.
ADVANCED MATERIALS (2019)
Unveiling phase transitions with machine learning
Askery Canabarro et al.
PHYSICAL REVIEW B (2019)
Predicting the Band Gaps of Inorganic Solids by Machine Learning
Ya Zhuo et al.
JOURNAL OF PHYSICAL CHEMISTRY LETTERS (2018)
Expanding frontiers in materials chemistry and physics with multiple anions
Hiroshi Kageyama et al.
NATURE COMMUNICATIONS (2018)
Solid Halide Electrolytes with High Lithium-Ion Conductivity for Application in 4 V Class Bulk-Type All-Solid-State Batteries
Tetsuya Asano et al.
ADVANCED MATERIALS (2018)
Lithium Transport in Li4.4M0.4M′0.6S4 (M = Al3+, Ga3+, and M′ = Ge4+, Sn4+): Combined Crystallographic, Conductivity, Solid State NMR, and Computational Studies
Bernhard T. Leube et al.
CHEMISTRY OF MATERIALS (2018)
Mechanochernical Synthesis and Characterization of Metastable Hexagonal Li4SnS4 Solid Electrolyte
Kento Kanazawa et al.
INORGANIC CHEMISTRY (2018)
Machine learning for molecular and materials science
Keith T. Butler et al.
NATURE (2018)
Unsupervised Novelty Detection Using Deep Autoencoders with Density Based Clustering
Tsatsral Amarbayasgalan et al.
APPLIED SCIENCES-BASEL (2018)
ElemNet: Deep Learning the Chemistry of Materials From Only Elemental Composition
Dipendra Jha et al.
SCIENTIFIC REPORTS (2018)
Panoramic Synthesis as an Effective Materials Discovery Tool: The System Cs/Sn/P/Se as a Test Case
Alyssa S. Haynes et al.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY (2017)
Influence of Lattice Polarizability on the Ionic Conductivity in the Lithium Superionic Argyrodites Li6PS5X (X = Cl, Br, I)
Marvin A. Kraft et al.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY (2017)
Disentangling Structural Confusion through Machine Learning: Structure Prediction and Polymorphism of Equiatomic Ternary Phases ABC
Anton O. Oliynyk et al.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY (2017)
Accelerated discovery of two crystal structure types in a complex inorganic phase field
C. Collins et al.
NATURE (2017)
Materials discovery and design using machine learning
Yue Liu et al.
JOURNAL OF MATERIOMICS (2017)
Predicting the Thermodynamic Stability of Solids Combining Density Functional Theory and Machine Learning
Jonathan Schmidt et al.
CHEMISTRY OF MATERIALS (2017)
Coatable Li4SnS4 Solid Electrolytes Prepared from Aqueous Solutions for All-Solid-State Lithium-Ion Batteries
Young Eun Choi et al.
CHEMSUSCHEM (2017)
Chemistry-Inspired Adaptable Framework Structures
Zhiguo Xia et al.
ACCOUNTS OF CHEMICAL RESEARCH (2017)
Structural Insights and 3D Diffusion Pathways within the Lithium Superionic Conductor Li10GeP2S12
Dominik A. Weber et al.
CHEMISTRY OF MATERIALS (2016)
Classifying Crystal Structures of Binary Compounds AB through Cluster Resolution Feature Selection and Support Vector Machine Analysis
Anton O. Oliynyk et al.
CHEMISTRY OF MATERIALS (2016)
Li0.6[Li0.2Sn0.8S2] - a layered lithium superionic conductor
T. Holzmann et al.
ENERGY & ENVIRONMENTAL SCIENCE (2016)
The optimal one dimensional periodic table: a modified Pettifor chemical scale from data mining
Henning Glawe et al.
NEW JOURNAL OF PHYSICS (2016)
Synthesis, structure, and electrochemical properties of crystalline Li-P-S-O solid electrolytes: Novel lithium-conducting oxysulfides of Li10GeP2S12 family
Kota Suzuki et al.
SOLID STATE IONICS (2016)
Computational Screening of All Stoichiometric Inorganic Materials
Daniel W. Davies et al.
CHEM (2016)
A general-purpose machine learning framework for predicting properties of inorganic materials
Logan Ward et al.
NPJ COMPUTATIONAL MATERIALS (2016)
Phase Behavior in the LiBH4-LiBr System and Structure of the Anion-Stabilized Fast Ionic, High Temperature Phase
Irene Cascallana-Matias et al.
CHEMISTRY OF MATERIALS (2015)
Design principles for solid-state lithium superionic conductors
Yan Wang et al.
NATURE MATERIALS (2015)
Air-stable, high-conduction solid electrolytes of arsenic-substituted Li4SnS4
Gayatri Sahu et al.
ENERGY & ENVIRONMENTAL SCIENCE (2014)
Dysnomia, a computer program for maximum-entropy method (MEM) analysis and its performance in the MEM-based pattern fitting
Koichi Momma et al.
POWDER DIFFRACTION (2013)
New Lithium Chalcogenidotetrelates, LiChT: Synthesis and Characterization of the Li+-Conducting Tetralithium ortho-Sulfidostannate Li4SnS4
Thomas Kaib et al.
CHEMISTRY OF MATERIALS (2012)
A survey on unsupervised outlier detection in high-dimensional numerical data
Arthur Zimek et al.
Statistical Analysis and Data Mining (2012)
XTALOPT: An open-source evolutionary algorithm for crystal structure prediction
David C. Lonie et al.
COMPUTER PHYSICS COMMUNICATIONS (2011)
VESTA 3 for three-dimensional visualization of crystal, volumetric and morphology data
Koichi Momma et al.
JOURNAL OF APPLIED CRYSTALLOGRAPHY (2011)
Li Ion Diffusion in the Anode Material Li12Si7: Ultrafast Quasi-1D Diffusion and Two Distinct Fast 3D Jump Processes Separately Revealed by 7Li NMR Relaxometry
Alexander Kuhn et al.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY (2011)
A lithium superionic conductor
Noriaki Kamaya et al.
NATURE MATERIALS (2011)
The route to resource-efficient novel materials
S. Krohns et al.
NATURE MATERIALS (2011)
Experimental visualization of lithium diffusion in LixFePO4
Shin-ichi Nishimura et al.
NATURE MATERIALS (2008)
On feature selection, curse-of-dimensionality and error probability in discriminant analysis
T Pavlenko
JOURNAL OF STATISTICAL PLANNING AND INFERENCE (2003)
The determination of anharmonic probability densities from static and dynamic disorder by neutron powder diffraction
H Boysen
ZEITSCHRIFT FUR KRISTALLOGRAPHIE (2003)
Phase equilibria and crystallography of ceramic oxides
W Wong-Ng et al.
JOURNAL OF RESEARCH OF THE NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY (2001)
分享论文
