2 citations · 2 across the 3 of their papers we have counts for
4 papers
Quantum annealing for materials
Alfredo Fiorentino, Nicola Marzari
Finding the global minimum of a potential energy surface is a fundamental challenge in materials science, with applications ranging from protein folding to cluster physics and, mor…
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…
Effects of colored disorder on the heat conductivity of SiGe alloys from first principles
Alfredo Fiorentino, Paolo Pegolo, Stefano Baroni +1
Semiconducting alloys, in particular SiGe, have been employed for several decades as high-temperature thermoelectric materials. Devising strategies to reduce their thermal conducti…
Thermal transport in a 2D amorphous material
Yuxi Wang, Xingxing Zhang, Wujuan Yan +12
Two-dimensional (2D) crystals proved revolutionary soon after graphene was discovered in 2004. However, 2D amorphous materials only became accessible in 2020 and remain largely une…