Georg Kent Hellerup Madsen

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Articles (24)

Collaborators (8)

Peter Blaha

Kristian Berland

Associate professor

Norwegian University of Life Sciences

Luis Miguel Varela

Universidade de Santiago de Compostela

Esther Heid

Jesús Carrete Montaña

Péter Kovács

Nico Unglert

Ralf Wanzenböck

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Georg Kent Hellerup Madsen

Research Interests

Explore related searches

Contact this professor

Articles (24)

Collaborators (8)

Peter Blaha

Kristian Berland

Luis Miguel Varela

Esther Heid

Jesús Carrete Montaña

Péter Kovács

Nico Unglert

Ralf Wanzenböck

Make your next move.

Georg Kent Hellerup Madsen

Research Interests

Explore related searches

Contact this professor

Articles (24)

The density isobar of water: A comparative study of vdW-DF-cx and RPBE-D3

Dynamical Disorder in the Mesophase Ferroelectric HdabcoClO4: A Machine-Learned Force Field Study

Replica Exchange Nested Sampling

Bayesian Optimization of Spray Parameters for the Deposition of Ga2O3–Cu2O Heterojunctions

COHESIVM: Combinatorial h+/e- Sample Investigation using Voltaic Measurements

From flat to stepped: active learning frameworks for investigating local structure at copper–water interfaces

LoGAN: local generative adversarial network for novel structure prediction

Spatially Resolved Uncertainties for Machine Learning Potentials

Phonon Transport in Defect-Laden Bilayer Janus PtSTe Studied Using Neural-Network Force Fields

Quantitative Predictions of the Thermal Conductivity in Transition Metal Dichalcogenides: Impact of Point Defects in MoS2 and WS2 Monolayers

Thermal conductivity reduction in highly-doped cubic SiC by phonon-defect and phonon-electron scattering

Neural network enabled molecular dynamics study of HfO2 phase transitions

Evaluating the efficiency of power‐series expansions as model potentials for finite‐temperature atomistic calculations

Deep ensembles vs committees for uncertainty estimation in neural-network force fields: Comparison and application to active learning

Accelerated screening of Cu–Ga–Fe oxide semiconductors by combinatorial spray deposition and high-throughput analysis

Neural-network force field backed nested sampling: Study of the silicon p−T phase diagram

Origin of the success of mGGAs for bandgaps

Accurate First‐Principles Treatment of the High‐Temperature Cubic Phase of Hafnia

What is the optimal mGGA exchange functional for solids?

Similarity Clustering for Representative Sets of Inorganic Solids for Density Functional Testing

A Differentiable Neural-Network Force Field for Ionic Liquids

Neural-network-backed evolutionary search for SrTiO3(110) surface reconstructions

Influence of Onion-like Carbonaceous Particles on the Aggregation Process of Hydrocarbons

Spinney: Post-processing of first-principles calculations of point defects in semiconductors with Python

Collaborators (8)

Peter Blaha

Kristian Berland

Luis Miguel Varela

Esther Heid

Jesús Carrete Montaña

Péter Kovács

Nico Unglert

Ralf Wanzenböck

Make your next move.