activity
20192026
most citedModeling heat transport in crystals and glasses from a unified lattice-dynamical approach

247 citations · 423 across the 7 of their papers we have counts for

collaborators

7 papers

cond-mat.mtrl-sci2026

kALDo 2.0: Scalable Thermal Transport from First Principles and Machine Learning Potentials

Giuseppe Barbalinardo, Zekun Chen, Dylan Folkner +5

We introduce kALDo2.0, an open-source Python package for computing vibrational, elastic, and thermal transport properties of solids from first principles and machine-learned intera…

cond-mat.mtrl-sci2024★ 1 cited

Elastic moduli and thermal conductivity of quantum materials at finite temperature

Dylan A. Folkner, Zekun Chen, Giuseppe Barbalinardo +2

We describe a theoretical and computational approach to calculate the vibrational, elastic, and thermal properties of materials from the low-temperature quantum regime to the high-…

cond-mat.mes-hall2021★ 41 cited

Ultrahigh convergent thermal conductivity of carbon nanotubes from comprehensive atomistic modeling

Giuseppe Barbalinardo, Zekun Chen, Haikuan Dong +2

Anomalous heat transport in one-dimensional nanostructures, such as nanotubes and nanowires, is a widely debated problem in condensed matter and statistical physics, with contradic…

cond-mat.mtrl-sci2020★ 22 cited

Mode Localization and Suppressed Heat Transport in Amorphous Alloys

Nicholas W. Lundgren, Giuseppe Barbalinardo, Davide Donadio

Glasses usually represent the lower limit for the thermal conductivity of solids, but a fundamental understanding of lattice heat transport in amorphous materials can provide desig…

cond-mat.mtrl-sci2020★ 72 cited

Efficient Anharmonic Lattice Dynamics Calculations of Thermal Transport in Crystalline and Disordered Solids

Giuseppe Barbalinardo, Zekun Chen, Nicholas W. Lundgren +1

Understanding heat transport in semiconductors and insulators is of fundamental importance because of its technological impact in electronics and renewable energy harvesting and co…

cond-mat.mtrl-sci2020★ 40 cited

Transferability of neural network potentials for varying stoichiometry: phonons and thermal conductivity of MnGe compounds

Claudia Mangold, Shunda Chen, Giuseppe Barbalinardo +7

Germanium manganese compounds exhibit a variety of stable and metastable phases with different stoichiometry. These materials entail interesting electronic, magnetic and thermal pr…

cond-mat.mtrl-sci2019★ 247 cited

Modeling heat transport in crystals and glasses from a unified lattice-dynamical approach

Leyla Isaeva, Giuseppe Barbalinardo, Davide Donadio +1

We introduce a novel approach to model heat transport in solids, based on the Green-Kubo theory of linear response. It naturally bridges the Boltzmann kinetic approach in crystals…