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Created a method to prevent and detect forest desertification: Giulio Tirabassi and Cristina Masoller have created an algorithm based on the analysis of satellite data provided by NASA's MODIS instrument that allows preventing the definitive destruction of natural environments
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Unmasking the microscopic fingerprint in finite-temperature features of a one-dimensional Bose gas: A team of researchers from UPC in Barcelona and EPFL in Lausanne built a new theory to explain the finite-temperature properties in terms of microscopic excitations of bosons in one dimension
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Participation of the Physics department in research using the WEAVE spectrograph on the evolution of galaxies: A few hundred astronomy professionals have designed and planned a total of five years of operations for the WEAVE spectrograph, a powerful instrument recently installed at the Canary Islands Observatory.
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A new experimental and numerical investigation on the fatigue response of composite and metal aircraft structures: The researchers Siddharth Pitta, Jose I. Rojas, Francesc Roure, Daniel Crespo, and Magd Abdel Wahab, from the Group of Materials Characterization of the UPC, the Materials Strength Laboratory of the UPC, and the Ghent University, have made new progresses in the characterization of the fatigue response of aircraft repair patches made of carbon fiber reinforced epoxy (CFRE) and aluminum alloy on aircraft airframe substrates made as well of CFRE and aluminum alloy
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The new research on intrinsic correlation between the fraction of liquid-like zones and the beta-relaxation in high-entropy metallic glasses: Researchers Y. J. Duan, E. Pineda and D. Crespo, from the Group of Materials Characterization of the UPC, have made new progress to understand the mechanical properties of high-entropy metallic glasses. The work clarifies the correlation between the fraction of liquid-like zones, i.e. the fraction of atoms that can easily rearrange under the effect of external forces, and the secondary or β relaxation observed in these materials. Besides, the work reveals the high-entropy effect on the supercooled liquid dynamics of the metallic melt.
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Nikolai Kvashin defends his thesis on the slip transfer phenomenon in BCC metals: Nikolai Kvashin defended his thesis co-directed by Napoleón Anento and Dmitry Terentyev on 16th of November 2022 at Campus Nord. Titled “Atomistic Study of Slip Transfer in BCC Metals “, the thesis presents an atomistic computer simulation study on the interaction between dislocations (single and pile-up cases) and a set of grain boundaries with the purpose to investigate the role played by the grain boundary atomic structure
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Xiao Liu defends his thesis on high-precision instantaneous GNSS positioning: Xiao Liu defended his thesis co-supervised by Jaume Sanz Subirana and Adria Rovira Garcia on November 10th 2022 at Campus Nord. Entitled "Contributions to High Accuracy Snapshot GNSS Positioning", the thesis presents a novel method for high accuracy GNSS positioning using only a very short interval of the GNSS satellite signal.
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Max Casamor defends his thesis on the safety analysis for nuclear reactors.: Max Casamor defended his thesis co-supervised by professors Jordi Freixa and Francesc Reventós on October 10 at the Escola Técnica Superior d'Engineria Industrial de Barcelona. Entitled "Evaluation of TH Multi-Scale Coupling Methods in BEPU Analysis", the thesis presents the application of advanced methodologies in safety analysis for nuclear reactors.
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Manuel Mateos Villar defends his doctoral thesis on the prediction of aircraft trajectories in the pre-tactical phase using machine learning techniques: Manuel Mateos Villar defended his doctoral thesis, with industrial doctorate mention, co-supervised by Xavier Prats (UPC) and Oliva Garcia (Nommon Solutions and Technologies), entitled "Machine Learning for Aircraft Trajectory Prediction: a Solution for Pre-tactical Air Traffic Flow Management". The thesis presents a solution for traffic prediction in the pre-tactical phase that improves the predictive exercise of the current tool (PREDICT) and is able to deal with the entire set of flights in the ECAC network in a way computationally efficient. To do this, different trajectory prediction approaches based on machine learning models trained on historical data have been explored.
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Innovative methods for selectively fragmenting molecules with laser X-rays are proposed: Carles Serrat Jurado, a professor in the Department of Physics at the UPC, has demonstrated in research that the interior of a molecule can be modified locally and selectively by applying hard X-ray lasers. The work has been published in the reference scientific journal 'The Journal of Physical Chemistry'
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