D. Torsello

activity

20172026

most citedEffects of high energy proton irradiation on the superconducting properties of Fe(Se,Te) thin films

31 citations · 115 across the 13 of their papers we have counts for

collaborators

Showing 2025Show all

3 papers · 1 filter

cond-mat.supr-con2025

Beyond dpa: an atomistic framework for a quantitative description of radiation damage in YBa2Cu3O7

Federico Ledda, Daniele Torsello, Davide Gambino +8

Radiation damage in high-temperature cuprate superconductors represents one of the main technological challenges for their deployment in harsh environments, such as fusion reactors…

cond-mat.supr-con2025

Machine-Learned Interatomic Potentials for Structural and Defect Properties of YBa $_{2}$ Cu $_{3}$ O $_{7 - δ}$

Niccolò Di Eugenio, Ashley Dickson, Flyura Djurabekova +9

High-Temperature Superconductors (HTS) such as YBa2Cu3O7-delta (YBCO) are essential for next-generation Tokamak fusion reactors, where Rare-Earth Barium Copper Oxides (REBCO) form…

cond-mat.mtrl-sci2025

The diffusion-driven orthorhombic to tetragonal transition in YBa $_{2}$ Cu $_{3}$ O $_{7}$ derived with a machine learning interatomic potential

Davide Gambino, Niccolò Di Eugenio, Jesper Byggmästar +4

Defects in high temperature superconductors such as YBa $_{2}$ Cu $_{3}$ O $_{7}$ (YBCO) critically influence their superconducting behavior, as they substantially degrade or even suppress su…

Beyond dpa: an atomistic framework for a quantitative description of radiation damage in YBa2Cu3O7

Machine-Learned Interatomic Potentials for Structural and Defect Properties of YBa2​Cu3​O7−δ​

The diffusion-driven orthorhombic to tetragonal transition in YBa2​Cu3​O7​ derived with a machine learning interatomic potential

Machine-Learned Interatomic Potentials for Structural and Defect Properties of YBa $_{2}$ Cu $_{3}$ O $_{7 - δ}$

The diffusion-driven orthorhombic to tetragonal transition in YBa $_{2}$ Cu $_{3}$ O $_{7}$ derived with a machine learning interatomic potential