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High-entropy ceramics

Nature reviews. Materials, 2020-04, Vol.5 (4), p.295-309

2020

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The search for high entropy alloys: A high-throughput ab-initio approach

Acta materialia, 2018-10, Vol.159, p.364-383

2018

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Universal fragment descriptors for predicting properties of inorganic crystals

Nature communications, 2017-06, Vol.8 (1), p.15679-12, Article 15679

2017

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On-the-fly closed-loop materials discovery via Bayesian active learning

Nature communications, 2020-11, Vol.11 (1), p.5966-5966, Article 5966

2020

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Machine learning for alloys

Nature reviews. Materials, 2021-08, Vol.6 (8), p.730-755

2021

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XtalOpt Version r12: An open-source evolutionary algorithm for crystal structure prediction

Computer physics communications, 2019-04, Vol.237, p.274-275

2019

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High-entropy high-hardness metal carbides discovered by entropy descriptors

Nature communications, 2018-11, Vol.9 (1), p.4980-10, Article 4980

2018

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Is the Antiresonance in Meta-Contacted Benzene Due to the Destructive Superposition of Waves Traveling Two Different Routes around the Benzene Ring?

Journal of physical chemistry. C, 2017-06, Vol.121 (21), p.11739-11746

2017

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Phase stability and mechanical properties of novel high entropy transition metal carbides

Acta materialia, 2019-03, Vol.166 (C), p.271-280

2019

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The AFLOW Library of Crystallographic Prototypes: Part 1

Computational materials science, 2017-08, Vol.136, p.S1-S828

2017

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High-throughput computational screening of thermal conductivity, Debye temperature, and Grüneisen parameter using a quasiharmonic Debye model

Physical review. B, Condensed matter and materials physics, 2014-11, Vol.90 (17), Article 174107

2014

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Discovery of high-entropy ceramics via machine learning

npj computational materials, 2020-05, Vol.6 (1), Article 42

2020

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Settling the matter of the role of vibrations in the stability of high-entropy carbides

Nature communications, 2021-09, Vol.12 (1), p.5747-5747, Article 5747

2021

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AFLOW for Alloys

Journal of phase equilibria and diffusion, 2024, Vol.45 (3), p.219-227

2024

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The AFLOW Library of Crystallographic Prototypes: Part 2

Computational materials science, 2019-04, Vol.161, p.S1-S1011

2019

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The AFLOW standard for high-throughput materials science calculations

Computational materials science, 2015-10, Vol.108 (PA), p.233-238

2015

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A RESTful API for exchanging materials data in the AFLOWLIB.org consortium

Computational materials science, 2014-10, Vol.93 (C), p.178-192

2014

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Reply to Comment on “Is the Antiresonance in Meta-Contacted Benzene Due to the Destructive Superposition of Waves Traveling Two Different Routes around the Benzene Ring?”

Journal of physical chemistry. C, 2017-09, Vol.121 (35), p.19540-19541

2017

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Spectral descriptors for bulk metallic glasses based on the thermodynamics of competing crystalline phases

Nature communications, 2016-08, Vol.7 (1), p.12315-12315, Article 12315

2016

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Charting the complete elastic properties of inorganic crystalline compounds

Scientific data, 2015-03, Vol.2 (1), p.150009-150009, Article 150009

2015

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AFLUX: The LUX materials search API for the AFLOW data repositories

Computational materials science, 2017-09, Vol.137 (C), p.362-370

2017

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High-entropy ceramics: Propelling applications through disorder

MRS bulletin, 2022-02, Vol.47 (2), p.194-202

2022

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Plasmonic high-entropy carbides

Nature communications, 2022-10, Vol.13 (1), p.5993-5993, Article 5993

2022

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AFLOW-ML: A RESTful API for machine-learning predictions of materials properties

Computational materials science, 2018-09, Vol.152, p.134-145

2018

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What is in a name: Defining “high entropy” oxides

APL materials, 2022-11, Vol.10 (11), p.110902-110902-11

2022

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High-entropy ceramics

The search for high entropy alloys: A high-throughput ab-initio approach

Universal fragment descriptors for predicting properties of inorganic crystals

On-the-fly closed-loop materials discovery via Bayesian active learning

Machine learning for alloys

XtalOpt Version r12: An open-source evolutionary algorithm for crystal structure prediction

High-entropy high-hardness metal carbides discovered by entropy descriptors

Is the Antiresonance in Meta-Contacted Benzene Due to the Destructive Superposition of Waves Traveling Two Different Routes around the Benzene Ring?

Phase stability and mechanical properties of novel high entropy transition metal carbides

The AFLOW Library of Crystallographic Prototypes: Part 1

High-throughput computational screening of thermal conductivity, Debye temperature, and Grüneisen parameter using a quasiharmonic Debye model

Discovery of high-entropy ceramics via machine learning

Settling the matter of the role of vibrations in the stability of high-entropy carbides

AFLOW for Alloys

The AFLOW Library of Crystallographic Prototypes: Part 2

The AFLOW standard for high-throughput materials science calculations

A RESTful API for exchanging materials data in the AFLOWLIB.org consortium

Reply to Comment on “Is the Antiresonance in Meta-Contacted Benzene Due to the Destructive Superposition of Waves Traveling Two Different Routes around the Benzene Ring?”

Spectral descriptors for bulk metallic glasses based on the thermodynamics of competing crystalline phases

Charting the complete elastic properties of inorganic crystalline compounds

AFLUX: The LUX materials search API for the AFLOW data repositories

High-entropy ceramics: Propelling applications through disorder

Plasmonic high-entropy carbides

AFLOW-ML: A RESTful API for machine-learning predictions of materials properties

What is in a name: Defining “high entropy” oxides

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