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Effect of hydrogen on the local chemical bonding states and structure of amor...
This study discloses the effect of hydrogen impurities on the local chemical bonding states and structure of amorphous alumina films by predicting measured Auger parameter... -
Atomic-level structure determination of amorphous molecular solids by NMR
Structure determination of amorphous materials remains challenging, owing to the disorder inherent to these materials. Nuclear magnetic resonance (NMR) powder crystallography is... -
Structure-property maps with kernel principal covariates regression
Data analyses based on linear methods constitute the simplest, most robust, and transparent approaches to the automatic processing of large amounts of data for building... -
Structure-property maps with kernel principal covariates regression
Data analyses based on linear methods constitute the simplest, most robust, and transparent approaches to the automatic processing of large amounts of data for building... -
Divalent Path to Enhance p-Type Conductivity in a SnO Transparent Semiconductor
The role of the divalent nature of tin is explored in tin monoxide, revealing a novel path for enhancing p-type conductivity. The consequences of oxygen off-stoichiometry... -
Machine learning of twin/matrix interfaces from local stress field
Twinning is an important deformation mode in plastically deformed hexagonal close-packed materials. The extremely high twin growth rates at the nanoscale make atomistic... -
Making the best of a bad situation: a multiscale approach to free energy calc...
Many enhanced sampling techniques rely on the identification of a number of collective variables that describe all the slow modes of the system. By constructing a bias potential... -
Data-powered augmented volcano plots for homogeneous catalysis
Transitioning from small-scale to big-data studies has the potential to reveal new layers of intricacy that better facilitate and rationalize catalytic behavior. Given the... -
Surface reconstructions and premelting of the (100) CaF2 surface
In this work, surface reconstructions on the (100) surface of CaF2 are comprehensively investigated. The configurations were explored by employing the Minima Hopping Method... -
A unified approach to enhanced sampling
The sampling problem lies at the heart of atomistic simulations and over the years many different enhanced sampling methods have been suggested towards its solution. These... -
Using metadynamics to build neural network potentials for reactive events: th...
The study of chemical reactions in aqueous media is very important for its implications in several fields of science, from biology to industrial processes. However, modeling... -
A machine learning model of chemical shifts for chemically and structurally d...
Nuclear magnetic resonance (NMR) chemical shifts are a direct probe of local atomic environments and can be used to determine the structure of solid materials. However, the... -
Effect of residual stress and microstructure on mechanical properties of sput...
The combination of the high wear resistance and mechanical strength of W with the high thermal conductivity of Cu makes the Cu/W system an attractive candidate material for heat... -
Chemical Shifts in Molecular Solids by Machine Learning Datasets
We present a database of energy and NMR chemical shifts DFT calculations of 4150 crystal organic solids. The structures contain only H/C/N/O/S atoms and were subject to... -
Rethinking Metadynamics
Metadynamics is an enhanced sampling method of great popularity, based on the on-the-fly construction of a bias potential that is function of a selected number of collective... -
Rethinking Metadynamics
Metadynamics is an enhanced sampling method of great popularity, based on the on-the-fly construction of a bias potential that is a function of a selected number of collective... -
Effect of hydrogen on the local chemical bonding states and structure of amor...
This study discloses the effect of hydrogen impurities on the local chemical bonding states and structure of amorphous alumina films by predicting measured Auger parameter... -
A Cannibalistic Approach to Grand Canonical Crystal Growth
Canonical molecular dynamics simulations of crystal growth from solution suffer from severe finite-size effects. As the crystal grows, the solute molecules are drawn from the... -
Molecular mechanism of gas solubility in liquid: constant chemical potential ...
Accurate prediction of gas solubility in a liquid is crucial in many areas of chemistry, and a detailed understanding of the molecular mechanism of the gas solvation continues... -
Transferable Machine-Learning Model of the Electron Density
The electronic charge density plays a central role in determining the behavior of matter at the atomic scale, but its computational evaluation requires demanding...