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Discovery of Intermetallic Compounds from Traditional to Machine-Learning Approaches

Accounts of chemical research, 2018-01, Vol.51 (1), p.59-68

2018

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How To Optimize Materials and Devices via Design of Experiments and Machine Learning: Demonstration Using Organic Photovoltaics

ACS nano, 2018-08, Vol.12 (8), p.7434-7444

2018

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High-Throughput Machine-Learning-Driven Synthesis of Full-Heusler Compounds

Chemistry of materials, 2016-10, Vol.28 (20), p.7324-7331

2016

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Classifying Crystal Structures of Binary Compounds AB through Cluster Resolution Feature Selection and Support Vector Machine Analysis

Chemistry of materials, 2016-09, Vol.28 (18), p.6672-6681

2016

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Disentangling Structural Confusion through Machine Learning: Structure Prediction and Polymorphism of Equiatomic Ternary Phases ABC

Journal of the American Chemical Society, 2017-12, Vol.139 (49), p.17870-17881

2017

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Perspective: Web-based machine learning models for real-time screening of thermoelectric materials properties

APL materials, 2016-05, Vol.4 (5), p.053213-053213-11

2016

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X-ray Photoelectron and Absorption Spectroscopy of Metal-Rich Phosphides M2P and M3P (M = Cr−Ni)

Chemistry of materials, 2008-11, Vol.20 (22), p.7081-7088

2008

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Materials discovery through machine learning: experimental validation and interpretable models

Acta crystallographica. Section A, Foundations and advances, 2023-07, Vol.79 (a1), p.a32-a32

Mar, Arthur

2023

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Examination of the Bonding in Binary Transition-Metal Monophosphides MP (M = Cr, Mn, Fe, Co) by X-Ray Photoelectron Spectroscopy

Inorganic chemistry, 2005-11, Vol.44 (24), p.8988-8998

2005

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Ternary Rare-Earth Arsenides REZn3As3 (RE = La–Nd, Sm) and RECd3As3 (RE = La–Pr)

Inorganic chemistry, 2011-11, Vol.50 (21), p.11152-11161

2011

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The centre cannot hold

Acta crystallographica. Section C, Crystal structure communications, 2022-10, Vol.78 (10), p.515-516

Mar, Arthur

2022

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Effect of aliovalent bismuth substitution on structure and optical properties of CsSnBr3

Communications chemistry, 2023-04, Vol.6 (1), p.75-75, Article 75

2023

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Quaternary Arsenides REHfCu2+δAs3 (RE = La–Nd; δ ≈ 0.17): Superstructures of the Zr2Ni3P3‑Type Structure

Inorganic chemistry, 2020-08, Vol.59 (15), p.11089-11095

2020

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LaHf2Ni5−xAs4: A filled version of monoclinic LaZr2Ni4−xAs4

Journal of solid state chemistry, 2021-06, Vol.298, Article 122118

2021

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LaHf2Ni5−As4: A filled version of monoclinic LaZr2Ni4−As4

Journal of solid state chemistry, 2021-06, Vol.298, p.122118, Article 122118

2021

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Quaternary Arsenides REHfCu 2+δ As 3 (RE = La–Nd; δ ≈ 0.17): Superstructures of the Zr 2 Ni 3 P 3 -Type Structure

Inorganic chemistry, 2020-08, Vol.59 (15), p.11089-11095

2020

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Ternary Rare-Earth Manganese Bismuthides: Structures and Physical Properties of RE3MnBi5 (RE = La−Nd) and Sm2Mn3Bi6

Inorganic chemistry, 2008-01, Vol.47 (1), p.297-305

2008

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Ternary rare-earth zinc arsenides REZn2As3 (RE=La–Pr) containing defect fluorite-type slabs

Journal of solid state chemistry, 2013-03, Vol.199, p.189-195

2013

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La4Ga2Se6O3: A Rare-Earth Oxyselenide Built from One-Dimensional Strips

Inorganic chemistry, 2022-08, Vol.61 (31), p.12458-12465

2022

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La 4 Ga 2 Se 6 O 3 : A Rare-Earth Oxyselenide Built from One-Dimensional Strips

Inorganic chemistry, 2022-08, Vol.61 (31), p.12458-12465

2022

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Rare-Earth Manganese Copper Pnictides RE2Mn3Cu9Pn7 (Pn = P, As): Quaternary Ordered Variants of the Zr2Fe12P7‑Type Structure

Inorganic chemistry, 2013-01, Vol.52 (2), p.1040-1046

2013

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Three Rh-rich ternary germanides in the Ce–Rh−Ge system

Journal of solid state chemistry, 2021-12, Vol.304, p.122585, Article 122585

2021

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Interpretable Machine Learning in Solid-State Chemistry, with Applications to Perovskites, Spinels, and Rare-Earth Intermetallics: Finding Descriptors Using Decision Trees

Inorganic chemistry, 2023-07, Vol.62 (28), p.10865-10875

2023

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BaHgGeSe4 and SrHgGeSe4: Two New Hg-Based Infrared Nonlinear Optical Materials

Chemistry of materials, 2019-04, Vol.31 (8), p.3034-3040

2019

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Revealing Hidden Patterns through Chemical Intuition and Interpretable Machine Learning: A Case Study of Binary Rare-Earth Intermetallics RX

Chemistry of materials, 2023-02, Vol.35 (3), p.879-890

2023

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Discovery of Intermetallic Compounds from Traditional to Machine-Learning Approaches

How To Optimize Materials and Devices via Design of Experiments and Machine Learning: Demonstration Using Organic Photovoltaics

High-Throughput Machine-Learning-Driven Synthesis of Full-Heusler Compounds

Classifying Crystal Structures of Binary Compounds AB through Cluster Resolution Feature Selection and Support Vector Machine Analysis

Disentangling Structural Confusion through Machine Learning: Structure Prediction and Polymorphism of Equiatomic Ternary Phases ABC

Perspective: Web-based machine learning models for real-time screening of thermoelectric materials properties

X-ray Photoelectron and Absorption Spectroscopy of Metal-Rich Phosphides M2P and M3P (M = Cr−Ni)

Materials discovery through machine learning: experimental validation and interpretable models

Examination of the Bonding in Binary Transition-Metal Monophosphides MP (M = Cr, Mn, Fe, Co) by X-Ray Photoelectron Spectroscopy

Ternary Rare-Earth Arsenides REZn3As3 (RE = La–Nd, Sm) and RECd3As3 (RE = La–Pr)

The centre cannot hold

Effect of aliovalent bismuth substitution on structure and optical properties of CsSnBr3

Quaternary Arsenides REHfCu2+δAs3 (RE = La–Nd; δ ≈ 0.17): Superstructures of the Zr2Ni3P3‑Type Structure

LaHf2Ni5−xAs4: A filled version of monoclinic LaZr2Ni4−xAs4

LaHf2Ni5−As4: A filled version of monoclinic LaZr2Ni4−As4

Quaternary Arsenides REHfCu 2+δ As 3 (RE = La–Nd; δ ≈ 0.17): Superstructures of the Zr 2 Ni 3 P 3 -Type Structure

Ternary Rare-Earth Manganese Bismuthides: Structures and Physical Properties of RE3MnBi5 (RE = La−Nd) and Sm2Mn3Bi6

Ternary rare-earth zinc arsenides REZn2As3 (RE=La–Pr) containing defect fluorite-type slabs

La4Ga2Se6O3: A Rare-Earth Oxyselenide Built from One-Dimensional Strips

La 4 Ga 2 Se 6 O 3 : A Rare-Earth Oxyselenide Built from One-Dimensional Strips

Rare-Earth Manganese Copper Pnictides RE2Mn3Cu9Pn7 (Pn = P, As): Quaternary Ordered Variants of the Zr2Fe12P7‑Type Structure

Three Rh-rich ternary germanides in the Ce–Rh−Ge system

Interpretable Machine Learning in Solid-State Chemistry, with Applications to Perovskites, Spinels, and Rare-Earth Intermetallics: Finding Descriptors Using Decision Trees

BaHgGeSe4 and SrHgGeSe4: Two New Hg-Based Infrared Nonlinear Optical Materials

Revealing Hidden Patterns through Chemical Intuition and Interpretable Machine Learning: A Case Study of Binary Rare-Earth Intermetallics RX

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