In a pivotal event hosted in Luxembourg, the first-year review of MAX unfolded seamlessly, leaving a mark on the progress and success achieved.
Supported by MAX, the workshop gathers introductory lectures, hands-on tutorials, invited talks, industry talks, and panel discussions with a focus on multi-modal, multi-objective, and multi-fidelity machine learning methods in materials science.
A. Guandalini, R. Senga, Y.-C. Lin, K. Suenaga, A. Ferretti, D. Varsano, A. Recchia, P. Barone, F...
In the past few years, the theory of thermal transport in amorphous solids has been substantially...
The application of a temperature gradient to an extended system generates an electromotive force...
Despite its simple crystal structure, layered boron nitride features a surprisingly complex variety...
Hexagonal boron nitride (hBN) is a wide band gap material with both strong excitonic light emission...
Recent neutron-diffraction experiments in honeycomb CrI3 quasi-2D ferromagnets have evinced the...
The coupling of the electron system to lattice vibrations and their time-dependent control and...
We present a method, based on the classical Green-Kubo theory of linear response, to compute the...