Dataset contains atomic configurations discussed in the paper and post-processed raw data of the structural analysis
Training set (DFT output) for CE models and MC simulations output for the manuscript Phase behaviour...
Materials property datasets associated with the (submitted) manuscript entitled “Convergence Acceler...
This is the collection of data and analysis code used to produce the manuscript "Elucidating the G''...
This data set contains: 1. Trajectories of glass and liquid Ge2Sb2Te5 models generated with the GAP...
Data for manuscript, entitled: "Small-data-based Machine Learning Interatomic Potentials for Gr...
Data associated with publication "The assessment of local lattice strains in alloys using total scat...
This dataset contains potential parameter files (*.xml) for the different generations of GAP-RSS int...
The phase-change material, Ge2Sb2Te5, is the canonical material ingredient for next-generation stora...
A) Schematic illustrating the radial averaging of GTPase activity used in the score function. B) Sch...
Raw data relevant to the GAP interatomic potential model described in the publication, including out...
Dataset of double well potentials sampled from energy landscape exploration of a ternary Lennard-Jon...
We provide an introduction to Gaussian process regression (GPR) machine-learning methods in computat...
This dataset supports the paper "A machine-learned interatomic potential for silica and its relation...
We provide an introduction to Gaussian process regression (GPR) machine-learning methods in computat...
We provide an introduction to Gaussian process regression (GPR) machinelearning methods in computati...
Training set (DFT output) for CE models and MC simulations output for the manuscript Phase behaviour...
Materials property datasets associated with the (submitted) manuscript entitled “Convergence Acceler...
This is the collection of data and analysis code used to produce the manuscript "Elucidating the G''...
This data set contains: 1. Trajectories of glass and liquid Ge2Sb2Te5 models generated with the GAP...
Data for manuscript, entitled: "Small-data-based Machine Learning Interatomic Potentials for Gr...
Data associated with publication "The assessment of local lattice strains in alloys using total scat...
This dataset contains potential parameter files (*.xml) for the different generations of GAP-RSS int...
The phase-change material, Ge2Sb2Te5, is the canonical material ingredient for next-generation stora...
A) Schematic illustrating the radial averaging of GTPase activity used in the score function. B) Sch...
Raw data relevant to the GAP interatomic potential model described in the publication, including out...
Dataset of double well potentials sampled from energy landscape exploration of a ternary Lennard-Jon...
We provide an introduction to Gaussian process regression (GPR) machine-learning methods in computat...
This dataset supports the paper "A machine-learned interatomic potential for silica and its relation...
We provide an introduction to Gaussian process regression (GPR) machine-learning methods in computat...
We provide an introduction to Gaussian process regression (GPR) machinelearning methods in computati...
Training set (DFT output) for CE models and MC simulations output for the manuscript Phase behaviour...
Materials property datasets associated with the (submitted) manuscript entitled “Convergence Acceler...
This is the collection of data and analysis code used to produce the manuscript "Elucidating the G''...
DOI
Add to ORKG