Computational characterization and prediction of metal–organic framework properties

FX Coudert, AH Fuchs - Coordination Chemistry Reviews, 2016 - Elsevier
In this introductory review, we give an overview of the computational chemistry methods
commonly used in the field of metal–organic frameworks (MOFs), to describe or predict the …

High-throughput computational screening of nanoporous materials in targeted applications

E Ren, P Guilbaud, FX Coudert - Digital Discovery, 2022 - pubs.rsc.org
Due to their chemical and structural diversity, nanoporous materials can be used in a wide
variety of applications, including fluid separation, gas storage, heterogeneous catalysis …

ELATE: an open-source online application for analysis and visualization of elastic tensors

R Gaillac, P Pullumbi, FX Coudert - Journal of Physics …, 2016 - iopscience.iop.org
We report on the implementation of a tool for the analysis of second-order elastic stiffness
tensors, provided with both an open-source Python module and a standalone online …

Temperature dependence of elastic and plastic deformation behavior of a refractory high-entropy alloy

C Lee, G Kim, Y Chou, BL Musicó, MC Gao, K An… - Science …, 2020 - science.org
Single-phase solid-solution refractory high-entropy alloys (HEAs) show remarkable
mechanical properties, such as their high yield strength and substantial softening resistance …

Evidence for anionic redox activity in a tridimensional-ordered Li-rich positive electrode β-Li2IrO3

PE Pearce, AJ Perez, G Rousse, M Saubanère… - Nature materials, 2017 - nature.com
Lithium-ion battery cathode materials have relied on cationic redox reactions until the recent
discovery of anionic redox activity in Li-rich layered compounds which enables capacities as …

PASCal: a principal axis strain calculator for thermal expansion and compressibility determination

MJ Cliffe, AL Goodwin - Journal of Applied Crystallography, 2012 - journals.iucr.org
This article describes a web-based tool (PASCal; principal axis strain calculator;
http://pascal. chem. ox. ac. uk) designed to simplify the determination of principal coefficients …

First-principles and machine learning predictions of elasticity in severely lattice-distorted high-entropy alloys with experimental validation

G Kim, H Diao, C Lee, AT Samaei, T Phan, M de Jong… - Acta Materialia, 2019 - Elsevier
Stiffness usually increases with the lattice-distortion-induced strain, as observed in many
nanostructures. Partly due to the size differences in the component elements, severe lattice …

Density functional theory predictions of the mechanical properties of crystalline materials

E Kiely, R Zwane, R Fox, AM Reilly, S Guerin - CrystEngComm, 2021 - pubs.rsc.org
The mechanical properties of crystalline materials are crucial knowledge for their screening,
design, and exploitation. Density functional theory (DFT), remains one of the most effective …

MechElastic: A Python library for analysis of mechanical and elastic properties of bulk and 2D materials

S Singh, L Lang, V Dovale-Farelo, U Herath… - Computer Physics …, 2021 - Elsevier
Abstract The MechElastic Python package evaluates the mechanical and elastic properties
of bulk and 2D materials using the elastic coefficient matrix (C ij) obtained from any ab-initio …

Three-dimensional metamaterials exhibiting extreme isotropy and negative Poisson's ratio

Z Li, W Gao, MY Wang, CH Wang, Z Luo - International Journal of …, 2023 - Elsevier
This research will develop a new set of mechanical metamaterials with simultaneous ideal
elastic isotropy and extreme negative Poisson's ratio through a topology optimization …