Microscopic theory of hardness and design of novel superhard crystals
Hardness can be defined microscopically as the combined resistance of chemical bonds in
a material to indentation. The current review presents three most popular microscopic …
a material to indentation. The current review presents three most popular microscopic …
High-entropy ultra-high-temperature borides and carbides: a new class of materials for extreme environments
L Feng, WG Fahrenholtz… - Annual Review of …, 2021 - annualreviews.org
Herein, we critically evaluate computational and experimental studies in the emerging field
of high-entropy ultra-high-temperature ceramics. High-entropy ultra-high-temperature …
of high-entropy ultra-high-temperature ceramics. High-entropy ultra-high-temperature …
High-entropy high-hardness metal carbides discovered by entropy descriptors
High-entropy materials have attracted considerable interest due to the combination of useful
properties and promising applications. Predicting their formation remains the major …
properties and promising applications. Predicting their formation remains the major …
[HTML][HTML] First-principles calculations to investigate structural, elastic, electronic, thermodynamic, and thermoelectric properties of CaPd3B4O12 (B= Ti, V) perovskites
This study has explored numerous physical properties of CaPd 3 Ti 4 O 12 (CPTO) and
CaPd 3 V 4 O 12 (CPVO) quadruple perovskites employing the density functional theory …
CaPd 3 V 4 O 12 (CPVO) quadruple perovskites employing the density functional theory …
Accelerating crystal structure prediction by machine-learning interatomic potentials with active learning
We propose a methodology for crystal structure prediction that is based on the evolutionary
algorithm USPEX and the machine-learning interatomic potentials actively learning on-the …
algorithm USPEX and the machine-learning interatomic potentials actively learning on-the …
[HTML][HTML] A machine-learning approach to predicting and understanding the properties of amorphous metallic alloys
There is a pressing need to shorten the development period for new materials possessing
desired properties. For example, bulk metallic glasses (BMGs) are a unique class of alloy …
desired properties. For example, bulk metallic glasses (BMGs) are a unique class of alloy …
A model of hardness and fracture toughness of solids
Hardness and fracture toughness are some of the most important mechanical properties.
Here, we propose a simple model that uses only the elastic properties to calculate the …
Here, we propose a simple model that uses only the elastic properties to calculate the …
Effect of boron on the structural stability, mechanical properties, and electronic structures of γ′-Ni3Al in TLP joints of nickel-based single-crystal alloys
Y Wu, J Chen, L Zhang, J Ji, Q Wang… - Materials Today …, 2022 - Elsevier
Boron (B) is known as a melting-point depressant for the middle interlayer to transient liquid
phase (TLP) bonding of nickel-based single-crystal alloys. However, the mechanisms of B …
phase (TLP) bonding of nickel-based single-crystal alloys. However, the mechanisms of B …
Pressure induced structural, hardness, elastic and thermodynamic properties of three MoC
Y Pan - International Journal of Refractory Metals and Hard …, 2023 - Elsevier
Insight into the high pressure behavior is very important for the engineering applications of
high temperature ceramics. However, the mechanical and thermodynamic properties of MoC …
high temperature ceramics. However, the mechanical and thermodynamic properties of MoC …
Accelerating materials discovery with Bayesian optimization and graph deep learning
Abstract Machine learning (ML) models utilizing structure-based features provide an efficient
means for accurate property predictions across diverse chemical spaces. However …
means for accurate property predictions across diverse chemical spaces. However …