most citedLattice Thermal Conductivity from First Principles and Active Learning with Gaussian Process Regression

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cond-mat.mtrl-sci2024

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

Elin Dypvik Sødahl, Jesús Carrete, Georg K. H. Madsen +1

Hybrid molecular ferroelectrics with orientationally disordered mesophases offer significant promise as lead-free alternatives to traditional inorganic ferroelectrics owing to prop…

cond-mat.mtrl-sci2023★ 2 cited

Lattice Thermal Conductivity from First Principles and Active Learning with Gaussian Process Regression

Rasmus Tranås, Ole Martin Løvvik, Kristian Berland

The lattice thermal conductivity () is a key materials property in power electronics, thermal barriers, and thermoelectric devices. Identifying a wide pool of compounds w…