Research News

Daniel Calvete and Francesca Ribas, from the group of Nonlinear fluid dynamics, have been working for a few years on the development of image analysis techniques to extract information from video cameras installed on the beaches of Castelldefels and Barcelona, to be able to quantify their evolution

Carles Serrat from the research group on Nonlinear Dynamics, Nonlinear Optics and Lasers (DONLL) of the department of Physics of the Universitat Politècnica de Catalunya (UPC) has published his last results in the Journal of Physical Chemistry Letters on the application of nonlinear techniques to efficiently produce the X-ray spectrum of Chemical species

Martí Beltran defended his thesis directed by Dra. Trinitat Pradell on January 22 electronically. Titled “Analysis and degradation mechanisms of enamels, grisailles and silver Stains on modernist stained glass”, the thesis presents a study on the composition and degradation mechanisms of modernist enamels using analytical techniques

In a recent article published in Physical Review Letters, a mixed team from the Universitat Politècnica de Catalunya (UPC) and the Universitat de Barcelona (UB), present a microscopic theory of bound quantum droplets that explains their formation.

Huixia Lu and Jordi Marti from the SIMCOM research group of the Physics department publish an article on the anchoring mechanism to the cell membrane of certain proteins relevant to oncological studies

Sandeep Babu Gawali defended his thesis co-directed by Kestutis Staliunas and Jose Trull on December 17 at the Terrassa Campus. Titled "Intracavity spatial filtering in broad area semiconductor lasers", the thesis presents a study on the improvement of the spatial quality of laser beams emitted by high-power semiconductor lasers using photonic crystal filters implemented inside the laser cavity

Teng Wang defended his thesis titled "A Fasto Engineering Approach High Efficiency Power Amplifier Linearization for Avionics Applications" on December 17 at EETAC, directed by Pere L. Gilabert (TSC-UPC). The thesis provides some guidelines for the design of linearizers based on digital predistortion (DPD) from several perspectives: y) improve the performance of open-loop DPD, ii) provide robustness and reduce the computational complexity of the parameter identification subsystem and, iii ) incorporation of machine learning techniques to favor the auto-tuning of power amplifiers and DPD linearizers with various degrees of freedom to be able to maximize energy efficiency while meeting linearity specifications.