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Prediction of yield strength in refractory body-centered-cubic High Entropy A...
Energy efficiency is motivating the search for new high-temperature metals. Some new body-centered-cubic random multicomponent "high entropy alloys (HEAs)" based on refractory... -
Learning on-top: regressing the on-top pair density for real-space visualizat...
The on-top pair density [Π(r)] is a local quantum chemical property, which reflects the probability of two electrons of any spin to occupy the same position in space. Simplest... -
Finite-temperature materials modeling from the quantum nuclei to the hot elec...
Atomistic simulations provide insights into structure-property relations on an atomic size and length scale that are complementary to the macroscopic observables that can be... -
Characterization of chemisorbed species and active adsorption sites in Mg-Al ...
Mg-Al mixed metal oxides (MMOs), derived from the decomposition of layered double hydroxides (LDHs), have been purposed as a material for CO2 capture of industrial plant... -
SPAᴴM: the spectrum of approximated hamiltonian matrices representations
Physics-inspired molecular representations are the cornerstone of similarity-based learning applied to solve chemical problems. Despite their conceptual and mathematical... -
Charge separation and charge carrier mobility in photocatalytic metal-organic...
Metal-Organic Frameworks (MOFs) are highly versatile materials owing to their vast structural and chemical tunability. These hybrid inorganic-organic crystalline materials offer... -
Many-body screening effects in liquid water
The screening arising from many-body excitations is a crucial quantity for describing ab-sorption and inelastic X-ray scattering (IXS) of materials. Similarly, the electron... -
Learning the energy curvature versus particle number in approximate density f...
The average energy curvature as a function of the particle number is a molecule-specific quantity, which measures the deviation of a given functional from the exact conditions... -
Iterative unbiasing of quasi-equilibrium sampling
This repository contains the PLUMED-2 input files required to generate the data used in the ITRE publications. ITRE is a method to reweight Molecular Dynamics trajectory biased... -
Yield strength and misfit volumes of NiCoCr and implications for short-range-...
The face-centered cubic medium-entropy alloy NiCoCr has received considerable attention for its good mechanical properties, uncertain stacking fault energy, etc, some of which... -
Optical absorption properties of metal-organic frameworks: solid state versus...
The vast chemical space of metal and ligand combinations in Transition Metal Complexes (TMCs) gives rise to a rich variety of electronic excited states with local and non-local... -
Pushing the limits of the donor-acceptor copolymer strategy for intramolecula...
Donor–acceptor (D–A) copolymers have shown great potential for intramolecular singlet fission (iSF). Nonetheless, very few design principles exist for optimizing these systems... -
Gas transport across carbon nitride nanopores: a comparison of van der Waals ...
C2N is an ordered two-dimensional carbon nitride with a high density (1.7 × 10^14 cm−2) of 3.1 Å-sized nanopores, making it promising for high-flux gas sieving for... -
A data-driven perspective on the colours of metal-organic frameworks
Colour is at the core of chemistry and has been fascinating humans since ancient times. It is also a key descriptor of optoelectronic properties of materials and is used to... -
Hidden bulk and surface effects in the spin polarization of the nodal-line se...
In the present record we provide the data obtained in ARPES experiments and input/output files of Quantum ESPRESSO calculations used in the publication entitled as this record.... -
Band gaps of liquid water and hexagonal ice through advanced electronic-struc...
The fundamental band gaps of liquid water and hexagonal ice are calculated through advanced electronic-structure methods. We compare specifically the performance of... -
Reaction-agnostic featurization of bidentate ligands for Bayesian ridge regre...
Chiral ligands are important components in asymmetric homogeneous catalysis, but their synthesis and screening can be both time-consuming and resource-intensive. Data-driven... -
Hamiltonian-Reservoir Replica Exchange and Machine Learning Potentials for Co...
This work combines a machine learning potential energy function with a modular enhanced sampling scheme to obtain statistically converged thermodynamical properties of flexible... -
Is a single conformer sufficient to describe the reorganization energy of amo...
The reorganization energy (λ), which quantifies the structural rearrangement of a molecule when accommodating a charge, is a key parameter in the evaluation of charge mobility... -
Correlated states in twisted double bilayer graphene
Electron–electron interactions play an important role in graphene and related systems and can induce exotic quantum states, especially in a stacked bilayer with a small twist...
