Solid tumors often undergo macroscopic growth arrest, a phenomenon that remainsquantitatively unresolved despite extensive modelling efforts. This Ph.D. project aims to advance a renormalisation-group (RG) field-theoretical framework that captures the universal features of tumor arrest from first principles, with the goal of supporting more predictive and sustainable cancer treatment strategies. The objectives of this Ph.D. […]
In binary alloy electrodeposition from aqueous solutions, three fundamental deposition modes are universally recognized: normal, anomalous, and induced regimes. These describe how the relative deposition rates of two metals (A and B) compare with their relative concentrations and inherent nobility (standard reduction potentials). In anomalous co-deposition, the less noble metal deposits preferentially, contrary to what […]
In recent years, a substantial body of research has demonstrated that thermal diffusion —the macroscopic transport mechanism governing heat dissipation in solids — does not explain the evolution of thermal energy at the nanoscale. The breakdown of diffusion has an enormous technological impact, since it prevents informed design for thermal management in energy conversion and […]
In this project, we aim to investigate the energetics of information processing by combining tools from statistical mechanics with recent advances in quantum and stochastic thermodynamics [1,2]. Information is a physical resource, and its manipulation is constrained by thermodynamic laws—an insight that goes back to Maxwell’s demon and Landauer’s principle. Despite the rapid progress in […]
Radon (Rn) is a radioactive gas that emanates from rocks and soils and tends to concentrate in enclosed spaces. The main source is soil gas infiltration, although other sources such as building materials and water extracted from wells are relevant in some specific cases. Rn constitutes the second cause of lung cancer after smoking. Current […]
The laws of thermodynamics are a cornerstone of our understanding of nature, spanning all scales of the universe and nearly every field of physics. Magnetism, like thermodynamics, also permeates all scales—from the quantum spin of electrons with the smallest known magnetic moment (9.3·10⁻²⁴ T) to magnetars, neutron stars with the strongest measured magnetic fields (1.6·10⁹ […]
The PhD project is fully aligned with the cutting-edge research at ICN2 on the modelling of semiconducting spin qubits within the rapidly evolving field of quantum computing technologies. It is embedded in a vibrant international network, with Roche’s group maintaining close collaborations with leading experimental teams fabricating qubits at the Niels Bohr Institute (Denmark), IST […]
The project proposes basic research in the field of quantum machine learning (QML), with specific applied contributions to hard problems in the field of computer vision. The PhD student will develop a review of the state of the art, an in-depth investigation of the current use of quantum computers applied to machine learning, with a […]
For decades, silicon CMOS technology has been the backbone of the semiconductor industry, enabling continuous scaling and integration. Yet, as device dimensions approach the atomic limit, fundamental constraints such as quantum effects, power dissipation, and variability increasingly hinder further progress. This has accelerated the exploration of alternative materials to complement or extend CMOS. Among them, […]