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Materials discovery at high pressures
Pressure is a fundamental thermodynamic variable that can be used to control the properties
of materials, because it reduces interatomic distances and profoundly modifies electronic …
of materials, because it reduces interatomic distances and profoundly modifies electronic …
Recent advances in superhard materials
In superhard materials research, two topics are of central focus. One is to understand
hardness microscopically and to establish hardness models with atomic parameters, which …
hardness microscopically and to establish hardness models with atomic parameters, which …
Capture and separation of CO2 on BC3 nanosheets: A DFT study
H Yang, C He, L Fu, J Huo, C Zhao, X Li… - Chinese Chemical …, 2021 - Elsevier
In order to reduce the greenhouse effect caused by the rapid increase of CO 2 concentration
in the atmosphere, it is necessary to develop more efficient, controllable, and highly …
in the atmosphere, it is necessary to develop more efficient, controllable, and highly …
Elucidating Stress–Strain Relations of ZrB12 from First-Principles Studies
Transition-metal boron-rich compounds exhibit favorable synthesis conditions and
mechanical properties that hold great promise for wide-ranging applications. However, the …
mechanical properties that hold great promise for wide-ranging applications. However, the …
Stabilized nitrogen framework anions in the Ga–N system
H Zhai, R Xu, J Dai, X Ma, X Yu, Q Li… - Journal of the American …, 2022 - ACS Publications
Nitrogen-rich compounds have attracted significant fundamental and practical interest owing
to their ability to accommodate diverse nitrogen-bonding patterns and their feasibility as high …
to their ability to accommodate diverse nitrogen-bonding patterns and their feasibility as high …
CALYPSO structure prediction method and its wide application
Atomistic structure prediction from “scratch” is one of the central issues in physical, chemical,
materials and planetary science, and it will inevitably play a critical role in accelerating …
materials and planetary science, and it will inevitably play a critical role in accelerating …
Predicting superhard materials via a machine learning informed evolutionary structure search
The computational prediction of superhard materials would enable the in silico design of
compounds that could be used in a wide variety of technological applications. Herein, good …
compounds that could be used in a wide variety of technological applications. Herein, good …
Pressure-stabilized high-energy-density alkaline-earth-metal pentazolate salts
Polynitrogen compounds especially pentazolate anion complexes recently have attracted
substantial attention due to their promising potential as high-energy-density materials. Here …
substantial attention due to their promising potential as high-energy-density materials. Here …
Accelerating finite-temperature Kohn-Sham density functional theory with deep neural networks
We present a numerical modeling workflow based on machine learning which reproduces
the total energies produced by Kohn-Sham density functional theory (DFT) at finite electronic …
the total energies produced by Kohn-Sham density functional theory (DFT) at finite electronic …
High-temperature superconductivity of boron-carbon clathrates at ambient pressure
The successful synthesis of the carbon-boron clathrate SrB 3 C 3 under high-pressure
conditions of 50 GPa opens up a new possibility for exploring high-temperature …
conditions of 50 GPa opens up a new possibility for exploring high-temperature …