Polarons in materials

C Franchini, M Reticcioli, M Setvin… - Nature Reviews Materials, 2021 - nature.com
Polarons are quasiparticles that easily form in polarizable materials due to the coupling of
excess electrons or holes with ionic vibrations. These quasiparticles manifest themselves in …

Delocalization error: The greatest outstanding challenge in density‐functional theory

KR Bryenton, AA Adeleke, SG Dale… - Wiley Interdisciplinary …, 2023 - Wiley Online Library
Every day, density‐functional theory (DFT) is routinely applied to computational modeling of
molecules and materials with the expectation of high accuracy. However, in certain …

Computational discovery of transition-metal complexes: from high-throughput screening to machine learning

A Nandy, C Duan, MG Taylor, F Liu, AH Steeves… - Chemical …, 2021 - ACS Publications
Transition-metal complexes are attractive targets for the design of catalysts and functional
materials. The behavior of the metal–organic bond, while very tunable for achieving target …

[HTML][HTML] Siesta: Recent developments and applications

A García, N Papior, A Akhtar, E Artacho… - The Journal of …, 2020 - pubs.aip.org
A review of the present status, recent enhancements, and applicability of the S iesta program
is presented. Since its debut in the mid-1990s, S iesta's flexibility, efficiency, and free …

The emergence of density functional theory for supercapacitors: Recent progress and advances

S Ali, T Ahmad, MY Tahir, M Usman, M Chhattal… - Journal of Energy …, 2023 - Elsevier
Supercapacitors (SCs) are emerging energy storage devices for commercialized purposes
due to their high–power density, extended life cycle, environmental friendliness, and cost …

Atomistic modeling of the mechanical properties: the rise of machine learning interatomic potentials

B Mortazavi, X Zhuang, T Rabczuk, AV Shapeev - Materials horizons, 2023 - pubs.rsc.org
Since the birth of the concept of machine learning interatomic potentials (MLIPs) in 2007, a
growing interest has been developed in the replacement of empirical interatomic potentials …

Improving the accuracy of atomistic simulations of the electrochemical interface

R Sundararaman, D Vigil-Fowler, K Schwarz - Chemical reviews, 2022 - ACS Publications
Atomistic simulation of the electrochemical double layer is an ambitious undertaking,
requiring quantum mechanical description of electrons, phase space sampling of liquid …

Layered Cathode Materials for Lithium-Ion Batteries: Review of Computational Studies on LiNi1–xyCoxMnyO2 and LiNi1–xyCoxAlyO2

A Chakraborty, S Kunnikuruvan, S Kumar… - Chemistry of …, 2020 - ACS Publications
At present the most successful rechargeable battery is the Li-ion battery, due to the small
size, high energy density, and low reduction potential of Li. Computational materials science …

[HTML][HTML] HP–A code for the calculation of Hubbard parameters using density-functional perturbation theory

I Timrov, N Marzari, M Cococcioni - Computer Physics Communications, 2022 - Elsevier
We introduce HP, an implementation of density-functional perturbation theory, designed to
compute Hubbard parameters (on-site U and inter-site V) in the framework of DFT+U and …

Inverse Magnetocaloric Effect in Altermagnetic 2D Non‐van der Waals FeX (X= S and Se) Semiconductors

Q Liu, J Kang, P Wang, W Gao, Y Qi… - Advanced Functional …, 2024 - Wiley Online Library
The concept of altermagnet (AM), which is neither ferromagnet nor antiferromagnet, has
recently been proposed as compensated collinear magnet. Among 2D non‐van der Waals …