2 papers
cond-mat.dis-nn2022
Semi-supervised generative approach to point-defect formation in chemically disordered compounds: application to uranium-plutonium mixed oxides
Maciej J. Karcz, Luca Messina, Eiji Kawasaki +3
Machine-learning methods are nowadays of common use in the field of material science. For example, they can aid in optimizing the physicochemical properties of new materials, or he…
cond-mat.supr-con2018
Finite frequency noise in a normal metal - topological superconductor junction
D. Bathellier, L. Raymond, T. Jonckheere +3
A topological superconductor nanowire bears a Majorana bound state at each of its ends, leading to unique transport properties. As a way to probe these, we study the finite frequen…