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。Machine learning modeling for the prediction of plastic properties in metallic glasses
Nicolas Amigo et al.
SCIENTIFIC REPORTS (2023)
Machine-learning and high-throughput studies for high-entropy materials
E-Wen Huang et al.
MATERIALS SCIENCE & ENGINEERING R-REPORTS (2022)
Data-driven discovery of a universal indicator for metallic glass forming ability
Ming-Xing Li et al.
NATURE MATERIALS (2022)
High-Throughput Experimentation and Computational Freeway Lanes for Accelerated Battery Electrolyte and Interface Development Research
Anass Benayad et al.
ADVANCED ENERGY MATERIALS (2022)
Discovering exceptionally hard and wear-resistant metallic glasses by combining machine-learning with high throughput experimentation
Suchismita Sarker et al.
APPLIED PHYSICS REVIEWS (2022)
A general and transferable deep learning framework for predicting phase formation in materials
Shuo Feng et al.
NPJ COMPUTATIONAL MATERIALS (2021)
Short- and medium-range orders in Al90Tb10 glass and their relation to the structures of competing crystalline phases
L. Tang et al.
ACTA MATERIALIA (2021)
Design of Fe-based bulk metallic glasses for maximum amorphous diameter (Dmax) using machine learning models
Daniel G. Mastropietro et al.
COMPUTATIONAL MATERIALS SCIENCE (2021)
Combinatorial measurement of critical cooling rates in aluminum-base metallic glass forming alloys
Naijia Liu et al.
SCIENTIFIC REPORTS (2021)
Substantially enhanced plasticity of bulk metallic glasses by densifying local atomic packing
Yuan Wu et al.
NATURE COMMUNICATIONS (2021)
Machine learning prediction of glass-forming ability in bulk metallic glasses
Jie Xiong et al.
COMPUTATIONAL MATERIALS SCIENCE (2021)
Machine learning atomic-scale stiffness in metallic glass
Zheng-Han Peng et al.
EXTREME MECHANICS LETTERS (2021)
Pronounced fl-relaxation in plastic FeNi-based bulk metallic glasses and its structural origin
Jing Zhou et al.
INTERMETALLICS (2021)
Design of Fe-based nanocrystalline alloys with superior magnetization and manufacturability
Hu Li et al.
MATERIALS TODAY (2021)
Explainable Machine Learning Algorithms For Predicting Glass Transition Temperatures
Edesio Alcobaca et al.
ACTA MATERIALIA (2020)
Machine Learning for Materials Scientists: An Introductory Guide toward Best Practices
Anthony Yu-Tung Wang et al.
CHEMISTRY OF MATERIALS (2020)
Optimization and validation of a deep learning CuZr atomistic potential: Robust applications for crystalline and amorphous phases with near-DFT accuracy
Christopher M. Andolina et al.
JOURNAL OF CHEMICAL PHYSICS (2020)
A machine-learning approach to predicting and understanding the properties of amorphous metallic alloys
Jie Xiong et al.
MATERIALS & DESIGN (2020)
Machine learning in materials genome initiative: A review
Yingli Liu et al.
JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY (2020)
Composition design for Fe-based soft magnetic amorphous and nanocrystalline alloys with high Fe content
Lingxiang Shi et al.
MATERIALS & DESIGN (2020)
Accelerated design of Fe-based soft magnetic materials using machine learning and stochastic optimization
Yuhao Wang et al.
ACTA MATERIALIA (2020)
Big-Data Science in Porous Materials: Materials Genomics and Machine Learning
Kevin Maik Jablonka et al.
CHEMICAL REVIEWS (2020)
Machine learning bridges local static structure with multiple properties in metallic glasses
Zhao Fan et al.
MATERIALS TODAY (2020)
A High-Throughput Structural and Electrochemical Study of Metallic Glass Formation in Ni-Ti-Al
Howie Joress et al.
ACS COMBINATORIAL SCIENCE (2020)
Machine learning-based glass formation prediction in multicomponent alloys
Xiaodi Liu et al.
ACTA MATERIALIA (2020)
Interpretable machine-learning strategy for soft-magnetic property and thermal stability in Fe-based metallic glasses
Zhichao Lu et al.
NPJ COMPUTATIONAL MATERIALS (2020)
Predicting the propensity for thermally activated β events in metallic glasses via interpretable machine learning
Qi Wang et al.
NPJ COMPUTATIONAL MATERIALS (2020)
Development of interatomic potential for Al-Tb alloys using a deep neural network learning method
L. Tang et al.
PHYSICAL CHEMISTRY CHEMICAL PHYSICS (2020)
Softness as the structural origin of plasticity in disordered solids: a quantitative insight from machine learning
Xiaodi Liu et al.
SCIENCE CHINA-MATERIALS (2019)
High-throughput solid solution strengthening characterization in high entropy alloys
Francisco Gil Coury et al.
ACTA MATERIALIA (2019)
Correlations between the thermal properties and the electronegativity of soft Check for magnetic Fe-based amorphous alloys
Haojie Zhang et al.
INTERMETALLICS (2019)
The evolution of relaxation modes during isothermal annealing and its influence on properties of Fe-based metallic glass
Nana He et al.
JOURNAL OF NON-CRYSTALLINE SOLIDS (2019)
High-temperature bulk metallic glasses developed by combinatorial methods
Ming-Xing Li et al.
NATURE (2019)
Machine learning prediction of elastic properties and glass-forming ability of bulk metallic glasses
Jie Xiong et al.
MRS COMMUNICATIONS (2019)
New frontiers for the materials genome initiative
Juan J. de Pablo et al.
NPJ COMPUTATIONAL MATERIALS (2019)
Revealing the intrinsic nature of the mid-gap defects in amorphous Ge2Sb2Te5
Konstantinos Konstantinou et al.
NATURE COMMUNICATIONS (2019)
Materials informatics for the screening of multi-principal elements and high-entropy alloys
J. M. Rickman et al.
NATURE COMMUNICATIONS (2019)
Physically informed artificial neural networks for atomistic modeling of materials
G. P. Purja Pun et al.
NATURE COMMUNICATIONS (2019)
Ab initio vibrational free energies including anharmonicity for multicomponent alloys
Blazej Grabowski et al.
NPJ COMPUTATIONAL MATERIALS (2019)
Short-range order structure motifs learned from an atomistic model of a Zr50Cu45Al5 metallic glass
Jason J. Maldonis et al.
ACTA MATERIALIA (2019)
Phase selection motifs in High Entropy Alloys revealed through combinatorial methods: Large atomic size difference favors BCC over FCC
Sebastian Alexander Kube et al.
ACTA MATERIALIA (2019)
High-throughput screening of laser additive manufactured metallic glass via ultrasonic wave
Linlin Zhai et al.
SCIENTIFIC REPORTS (2019)
Thermophysical properties of liquid Zr52.5Cu17.9Ni14.6Al10Ti5-prospects for bulk metallic glass manufacturing in space
M. Mohr et al.
NPJ MICROGRAVITY (2019)
Fe-based bulk metallic glasses: Glass formation, fabrication, properties and applications
H. X. Li et al.
PROGRESS IN MATERIALS SCIENCE (2019)
A transferable machine-learning framework linking interstice distribution and plastic heterogeneity in metallic glasses
Qi Wang et al.
NATURE COMMUNICATIONS (2019)
High-throughput investigation of crystal-to-glass transformation of Ti-Ni-Cu ternary alloy
Jian Hui et al.
SCIENTIFIC REPORTS (2019)
Deep-learning approach to the structure of amorphous silicon
Massimiliano Comin et al.
PHYSICAL REVIEW B (2019)
Accelerated discovery and mechanical property characterization of bioresorbable amorphous alloys in the Mg-Zn-Ca and the Fe-Mg-Zn systems using high-throughput methods
Amit Datye et al.
JOURNAL OF MATERIALS CHEMISTRY B (2019)
Combinatorial temperature resistance sensors for the analysis of phase transformations demonstrated for metallic glasses
Haitao Zhang et al.
ACTA MATERIALIA (2018)
Combined machine learning and CALPHAD approach for discovering processing-structure relationships in soft magnetic alloys
Rajesh Jha et al.
COMPUTATIONAL MATERIALS SCIENCE (2018)
Machine learning for phase selection in multi-principal element alloys
Nusrat Islam et al.
COMPUTATIONAL MATERIALS SCIENCE (2018)
DeePMD-kit: A deep learning package for many-body potential energy representation and molecular dynamics
Han Wang et al.
COMPUTER PHYSICS COMMUNICATIONS (2018)
Decoding the glass genome
John C. Mauro
CURRENT OPINION IN SOLID STATE & MATERIALS SCIENCE (2018)
Ductile FeNi-based bulk metallic glasses with high strength and excellent soft magnetic properties
Jing Zhou et al.
JOURNAL OF ALLOYS AND COMPOUNDS (2018)
Constructing first-principles phase diagrams of amorphous LixSi using machine-learning-assisted sampling with an evolutionary algorithm
Nongnuch Artrith et al.
JOURNAL OF CHEMICAL PHYSICS (2018)
Realistic Atomistic Structure of Amorphous Silicon from Machine-Learning-Driven Molecular Dynamics
Volker L. Deringer et al.
JOURNAL OF PHYSICAL CHEMISTRY LETTERS (2018)
Growth Mechanism and Origin of High sp3 Content in Tetrahedral Amorphous Carbon
Miguel A. Caro et al.
PHYSICAL REVIEW LETTERS (2018)
Accelerated discovery of metallic glasses through iteration of machine learning and high-throughput experiments
Fang Ren et al.
SCIENCE ADVANCES (2018)
A machine learning approach for engineering bulk metallic glass alloys
Logan Ward et al.
ACTA MATERIALIA (2018)
Predicting glass transition temperatures using neural networks
Daniel R. Cassar et al.
ACTA MATERIALIA (2018)
Compositional gradient films constructed by sputtering in a multicomponent Ti-Al-(Cr, Fe, Ni) system
Yong Zhang et al.
JOURNAL OF MATERIALS RESEARCH (2018)
High-Throughput Screening Solar-Thermal Conversion Films in a Pseudobinary (Cr, Fe, V)-(Ta, W) System
Qiuwei Xing et al.
ACS COMBINATORIAL SCIENCE (2018)
Combinatorial synthesis of high entropy alloys: Introduction of a novel, single phase, body-centered-cubic FeMnCoCrAl solid solution
A. Marshal et al.
JOURNAL OF ALLOYS AND COMPOUNDS (2017)
Machine Learning Approach for Prediction and Understanding of Glass-Forming Ability
Y. T. Sun et al.
JOURNAL OF PHYSICAL CHEMISTRY LETTERS (2017)
High-throughput drawing and testing of metallic glass nanostructures
Molla Hasan et al.
NANOSCALE (2017)
Structure-property relationships from universal signatures of plasticity in disordered solids
E. D. Cubuk et al.
SCIENCE (2017)
How Many Bulk Metallic Glasses Are There?
Yanglin Li et al.
ACS COMBINATORIAL SCIENCE (2017)
Machine learning in materials informatics: recent applications and prospects
Rampi Ramprasad et al.
NPJ COMPUTATIONAL MATERIALS (2017)
Determination of critical cooling rates in metallic glass forming alloy libraries through laser spike annealing
Punnathat Bordeenithikasem et al.
SCIENTIFIC REPORTS (2017)
Active learning of linearly parametrized interatomic potentials
Evgeny V. Podryabinkin et al.
COMPUTATIONAL MATERIALS SCIENCE (2017)
Extracting Crystal Chemistry from Amorphous Carbon Structures
Volker L. Deringer et al.
CHEMPHYSCHEM (2017)
Thermo-physical characterization of the Fe67Mo6Ni3.5Cr3.5P12C5.5B2.5 bulk metallic glass forming alloy
Benedikt Bochtler et al.
ACTA MATERIALIA (2016)
High-throughput discovery and characterization of multicomponent bulk metallic glass alloys
Peter Tsai et al.
ACTA MATERIALIA (2016)
Microstructural Control via Copious Nucleation Manipulated by In Situ Formed Nucleants: Large-Sized and Ductile Metallic Glass Composites
Wenli Song et al.
ADVANCED MATERIALS (2016)
MOMENT TENSOR POTENTIALS: A CLASS OF SYSTEMATICALLY IMPROVABLE INTERATOMIC POTENTIALS
Alexander V. Shapeev
MULTISCALE MODELING & SIMULATION (2016)
A structural approach to relaxation in glassy liquids
S. S. Schoenholz et al.
NATURE PHYSICS (2016)
Combinatorial Strategies for Synthesis and Characterization of Alloy Microstructures over Large Compositional Ranges
Yanglin Li et al.
ACS COMBINATORIAL SCIENCE (2016)
Combinatorial development of antibacterial Zr-Cu-Al-Ag thin film metallic glasses
Yanhui Liu et al.
SCIENTIFIC REPORTS (2016)
Selective laser melting of Zr-based bulk metallic glasses: Processing, microstructure and mechanical properties
X. P. Li et al.
MATERIALS & DESIGN (2016)
Multivariate analysis and classification of bulk metallic glasses using principal component analysis
Manwendra K. Tripathi et al.
COMPUTATIONAL MATERIALS SCIENCE (2015)
Spectral neighbor analysis method for automated generation of quantum-accurate interatomic potentials
A. P. Thompson et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2015)
An empirical criterion for predicting the glass-forming ability of amorphous alloys based on electrical transport properties
Li-fang Wang et al.
JOURNAL OF NON-CRYSTALLINE SOLIDS (2015)
Identifying Structural Flow Defects in Disordered Solids Using Machine-Learning Methods
E. D. Cubuk et al.
PHYSICAL REVIEW LETTERS (2015)
Structure and mechanical property modification of a Ti-based metallic glass by ion irradiation
Yongjiang Huang et al.
SCRIPTA MATERIALIA (2015)
A combinatorial strategy for metallic glass design via laser deposition
Peter Tsai et al.
INTERMETALLICS (2014)
Dynamic Mechanical Relaxation in Bulk Metallic Glasses: A Review
J. C. Qiao et al.
JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY (2014)
Composition dependence of the microstructure and soft magnetic properties of Fe-based amorphous/nanocrystalline alloys: A review study
H. R. Lashgari et al.
JOURNAL OF NON-CRYSTALLINE SOLIDS (2014)
Combinatorial development of bulk metallic glasses
Shiyan Ding et al.
NATURE MATERIALS (2014)
High throughput growth and characterization of thin film materials
Samuel S. Mao
JOURNAL OF CRYSTAL GROWTH (2013)
Commentary: The Materials Project: A materials genome approach to accelerating materials innovation
Anubhav Jain et al.
APL MATERIALS (2013)
The world's biggest glassy alloy ever made
Nobuyuki Nishiyama et al.
INTERMETALLICS (2012)
Solidification of Au-Cu-Si alloys investigated by a combinatorial approach
Shiyan Ding et al.
JOURNAL OF APPLIED PHYSICS (2012)
Combining combinatorial nanocalorimetry and X-ray diffraction techniques to study the effects of composition and quench rate on Au-Cu-Si metallic glasses
John M. Gregoire et al.
SCRIPTA MATERIALIA (2012)
The activation energy and volume of flow units of metallic glasses
S. T. Liu et al.
SCRIPTA MATERIALIA (2012)
Precipitation and thermal fatigue in Ni-Ti-Zr shape memory alloy thin films by combinatorial nanocalorimetry
Patrick J. McCluskey et al.
ACTA MATERIALIA (2011)
High throughput combinatorial screening of semiconductor materials
Samuel S. Mao
APPLIED PHYSICS A-MATERIALS SCIENCE & PROCESSING (2011)
Differential Evolution: A Survey of the State-of-the-Art
Swagatam Das et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2011)
Atom-centered symmetry functions for constructing high-dimensional neural network potentials
Joerg Behler
JOURNAL OF CHEMICAL PHYSICS (2011)
Atomic-level structure and structure-property relationship in metallic glasses
Y. Q. Cheng et al.
PROGRESS IN MATERIALS SCIENCE (2011)
Density change upon crystallization of amorphous Zr-Cu-Al thin films
Qiang Guo et al.
ACTA MATERIALIA (2010)
Processing of Bulk Metallic Glass
Jan Schroers
ADVANCED MATERIALS (2010)
Bulk Metallic Glass Composites with Transformation-Mediated Work-Hardening and Ductility
Yuan Wu et al.
ADVANCED MATERIALS (2010)
Artificial neural network modeling for undercooled liquid region of glass forming alloys
An-hui Cai et al.
COMPUTATIONAL MATERIALS SCIENCE (2010)
Combinatorial nanocalorimetry
Patrick J. McCluskey et al.
JOURNAL OF MATERIALS RESEARCH (2010)
TiZr-base Bulk Metallic Glass with over 50 mm in Diameter
M. Q. Tang et al.
JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY (2010)
Transition from a strong-yet-brittle to a stronger-and-ductile state by size reduction of metallic glasses
Dongchan Jang et al.
NATURE MATERIALS (2010)
Transformation-mediated ductility in CuZr-based bulk metallic glasses
S. Pauly et al.
NATURE MATERIALS (2010)
Gaussian Approximation Potentials: The Accuracy of Quantum Mechanics, without the Electrons
Albert P. Bartok et al.
PHYSICAL REVIEW LETTERS (2010)
Mechanical properties of bulk metallic glasses
Morgana Martin Trexler et al.
PROGRESS IN MATERIALS SCIENCE (2010)
A new criterion for predicting the glass-forming ability of bulk metallic glasses
Zhilin Long et al.
JOURNAL OF ALLOYS AND COMPOUNDS (2009)
Power-law scaling and fractal nature of medium-range order in metallic glasses
D. Ma et al.
NATURE MATERIALS (2009)
Nonlinear tensile deformation behavior of small-sized metallic glasses
Y. Wu et al.
SCRIPTA MATERIALIA (2009)
Matching Glass-Forming Ability with the Density of the Amorphous Phase
Y. Li et al.
SCIENCE (2008)
Fabrication of new Cu34Pd2Zr48Ag8Al8 bulk glassy alloy with a diameter of 30 mm
Qingsheng Zhang et al.
MATERIALS TRANSACTIONS (2007)
Ductile Fe-based bulk metallic glass with good soft-magnetic properties
Tao Zhang et al.
MATERIALS TRANSACTIONS (2007)
Roles of minor additions in formation and properties of bulk metallic glasses
Wei Hua Wang
PROGRESS IN MATERIALS SCIENCE (2007)
Recent progress in quantifying glass-forming ability of bulk metallic glasses
Z. P. Lu et al.
INTERMETALLICS (2007)
Generalized neural-network representation of high-dimensional potential-energy surfaces
Joerg Behler et al.
PHYSICAL REVIEW LETTERS (2007)
Super plastic bulk metallic glasses at room temperature
Yan Hui Liu et al.
SCIENCE (2007)
Wide-field optical imaging of surface nanostructures
Dominique Ausserre et al.
NANO LETTERS (2006)
Combinatorial arc plasma deposition of thin films
S Hata et al.
JAPANESE JOURNAL OF APPLIED PHYSICS PART 1-REGULAR PAPERS BRIEF COMMUNICATIONS & REVIEW PAPERS (2006)
Identification of amorphous phases in the Fe-Ni-Co ternary alloy system using continuous phase diagram material chips
Young K. Yoo et al.
INTERMETALLICS (2006)
Artificial neural network modelling of crystallization temperatures of the Ni-P based amorphous alloys
KG Keong et al.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING (2004)
Sample dimensions influence strength and crystal plasticity
MD Uchic et al.
SCIENCE (2004)
A new glass-forming ability criterion for bulk metallic glasses
ZP Lu et al.
ACTA MATERIALIA (2002)
The thermophysical properties of bulk metallic glass-forming liquids
R Busch
JOM-JOURNAL OF THE MINERALS METALS & MATERIALS SOCIETY (2000)
Magnetron sputtering: a review of recent developments and applications
PJ Kelly et al.
VACUUM (2000)
分享论文
