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Polarons in materials
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 …
excess electrons or holes with ionic vibrations. These quasiparticles manifest themselves in …
Delocalization error: The greatest outstanding challenge in density‐functional theory
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 …
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
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 …
materials. The behavior of the metal–organic bond, while very tunable for achieving target …
[HTML][HTML] Siesta: Recent developments and applications
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 …
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
Supercapacitors (SCs) are emerging energy storage devices for commercialized purposes
due to their high–power density, extended life cycle, environmental friendliness, and cost …
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
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 …
growing interest has been developed in the replacement of empirical interatomic potentials …
Improving the accuracy of atomistic simulations of the electrochemical interface
Atomistic simulation of the electrochemical double layer is an ambitious undertaking,
requiring quantum mechanical description of electrons, phase space sampling of liquid …
requiring quantum mechanical description of electrons, phase space sampling of liquid …
Layered Cathode Materials for Lithium-Ion Batteries: Review of Computational Studies on LiNi1–x–yCoxMnyO2 and LiNi1–x–yCoxAlyO2
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 …
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
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 …
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
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 …
recently been proposed as compensated collinear magnet. Among 2D non‐van der Waals …