Otras Áreas de STEAM

Permanent URI for this collectionhttps://hdl.handle.net/11268/1353

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Interfacial engineering of Cu-Au core-nanocluster systems for oxygen reduction, reactive oxygen species generation, and antimicrobial activity
(2026) Irigo, Patrick; Li, Ya; Liu, Tang; Chung, Etelka; Luo, Yujia; Zhuge, Xiangqun; Roldán Matilla, Miriam; Cerpa Naranjo, Arisbel; Lado Touriño, María Isabel; Gilsanz Muñoz, María Fuencisla; Et. al.
Cu-Au core-nanocluster nanoparticles (NPs) offer a promising platform for multifunctional antimicrobial materials through coupled oxygen reduction, reactive oxygen species (ROS) generation, and galvanically enhanced ion release. Here, the interfacial mechanisms governing antimicrobial activity in CuAux NPs are investigated using structural characterisation, density functional theory (DFT), electrochemical analysis, and antibacterial testing.
Framework for Hazardous Situations detection in Autonomous Driving
(2026) García Fernández, Manuel; Aliane, Nourdine; Fernández Andrés, Javier
The advancement of Autonomous Vehicles (AVs) and Advanced Driver Assistance Systems (ADAS) hinges on their ability to perceive and respond to complex, dynamic environments, particularly in rare and safety-critical scenarios. While current systems excel under nominal conditions, detecting and reacting to anomalous events –such as sudden pedestrian appearances or erratic driver behavior– remains a significant challenge due to the scarcity of such events in training datasets. This paper presents a modular, semi-supervised approach for detecting risk-driving situations using monocular front-camera imaging. The proposed two-stage framework decouples visual perception and anomaly detection: the first stage employs instance segmentation algorithm YOLO to extract scene features; while the second stage identifies anomalies using these features, trained solely on non-risk scenarios using one-class Support Vector Machine. This design enables independent optimization of each module and supports the integration of both classical machine learning and deep learning techniques for anomaly detection. Proposed methodology has been tested with the nuScenes dataset, reaching a 0.31 recall and 0.70 accuracy, demonstrating the capacity of hybrid algorithms combining computer-vision with machine-learning to identify hazardous driving situations while maintaining a lightweight execution environment.
Integración de Herramientas de IA en la Expresión Gráfica: Una Experiencia Didáctica entre lo Analógico y lo Digital en la Asignatura de Dibujo Integrado en el Grado de Arquitectura de la Universidad Europea de Canarias
(Egregius, 2024) Vallespín Toro, Nuria
La integración de tecnologías de inteligencia artificial (IA) en la educación arquitectónica abre nuevas posibilidades creativas, al tiempo que plantea desafíos en mantener el equilibrio entre lo digital y lo analógico. El papel de la docencia en la introducción de nuevas técnicas de IA ilustra la responsabilidad de preparar a los estudiantes para un futuro donde la IA y los principios arquitectónicos coexistan sin problemas.
Divergence-driven generative adversarial networks for semi-supervised anomaly detection
(2026) García Fernández, Manuel; Salmerón Silvera, José Luis
Anomaly detection is a critical challenge due to the extreme class imbalance between anomalous and normal data instances. This study presents a semi-supervised anomaly detection framework based on GANs, in which the discriminator is repurposed as a direct classifier for anomaly detection. This research advances the application of GANs in anomaly detection by introducing a divergence-driven training paradigm and validating its effectiveness through extensive experimentation with credit card fraud data and Twitter bot accounts.
Defect-surface engineering of La-doped ceria for microwave-assisted hydrogen production
(2026) Domínguez Saldaña, Aitor; Navarrete, Laura; Carrillo, Alfonso J.; Balaguer, María; Santos, Joaquín; García Baños, Beatriz; Plaza González, Pedro J.; Catalán Martínez, David; Catalá Civera, José; Serra, José Manuel
Hydrogen plays a pivotal role in decarbonizing the energy and chemical sectors, yet current production methods are limited by high temperatures and energy demands. Microwave-assisted thermochemical redox cycles offer a promising low-temperature, contactless alternative by coupling electromagnetic energy with reducible oxides. This study explores La-doped ceria (Ce1−xLaxO2−δ) as a tunable platform to enhance microwave-driven hydrogen production.
Posture Optimization Techniques for Enhanced Robotic Machining Performance: A Review
(2026) Sebbe, Naiara; Lafuente Carrasco, José Luis; Aibar, Clara; Iglesias, Iván
With the advancement of technology and the digitalization of manufacturing processes, optimized production of large-scale structural components faces increasing challenges due to mass product customization, workspace constraints, and the high cost of equipment such as CNC machines. Arm-based robotic manufacturing systems, as a substitutive or complementary alternative with strong potential, have gained significant attention as a means to address current challenges in machining. This work presents a state-of-the-art review of existing techniques and methods for optimizing robotic machining performance, with a particular focus on research advances in posture optimization of articulated robots.
LiteBIRD science goals and forecasts. E-mode anomalies
(2026) Banday, Anthony; Gimeno Amo, Crhistian; Diego Palazuelos, Patricia; Hoz, Elena de la; Gruppuso, Alessandro; Raffuzzi, Niccolò; Martínez González, E.; Vielva, Patricio; Barreiro, R. B.; López-Caniego Alcarria, Marcos; Et. al.
Various so-called anomalies have been found in both the WMAP and Planck cosmic microwave background (CMB) temperature data that exert a mild tension against the highly successful best-fit 6 parameter cosmological model, potentially providing hints of new physics to be explored. That these are real features on the sky is uncontested. However, given their modest significance, whether they are indicative of true departures from the standard cosmology or simply statistical excursions due to a mildly unusual configuration of temperature anisotropies on the sky which we refer to as the “fluke hypothesis” cannot be addressed further without new information. No theoretical model of primordial perturbations has to date been constructed that can explain all of the temperature anomalies. Therefore, we focus in this paper on testing the fluke hypothesis, based on the partial correlation between the temperature and E-mode CMB polarisation signal. In particular, we compare the properties of specific statistics in polarisation, built from unconstrained realisations of the ΛCDM cosmological model as might be observed by the LiteBIRD satellite, with those determined from constrained simulations, where the part of the E-mode anisotropy correlated with temperature is constrained by observations of the latter. Specifically, we use inpainted Planck 2018 SMICA temperature data to constrain the E-mode realisations. Subsequent analysis makes use of masks defined to minimise the impact of the inpainting procedure on the E-mode map statistics. We find that statistical assessments of the E-mode data alone do not provide any evidence for or against the fluke hypothesis. However, tests based on cross-statistical measures determined from temperature and E modes can allow this hypothesis to be rejected with a moderate level of probability.
ANAID: Autonomous Naturalistic Obstacle-Avoidance Interaction Dataset
(2026) García Fernández, Manuel; Juárez Molera, María; Canadas Gallardo, Adrián; Aliane, Nourdine; Fernández Andrés, Javier
This paper presents ANAID (Autonomous Naturalistic obstacle-Avoidance Interaction Dataset), a new multimodal dataset designed to support research on autonomous driving, particularly with regard to obstacle avoidance and naturalistic driver–vehicle interaction. Data were collected using a Hyundai Tucson Hybrid equipped with a Comma-3X autonomous-driving development kit, combining high-resolution front-facing video with detailed CAN-bus telemetry. The dataset comprises four data collection campaigns, each corresponding to a single continuous driving session, yielding a total of 208 videos and 240,014 synchronized frames. In addition to the video data, the dataset provides vehicle state measurements (speed, acceleration, steering, pedal positions, turn signals, etc.) and an additional annotation layer identifying evasive maneuvers derived from steering-related signals. Data were recorded across four driving campaigns on an urban circuit at Universidad Europea de Madrid, capturing diverse real-world scenarios such as roundabouts, intersections, pedestrian areas, and segments requiring obstacle avoidance. A multi-stage processing pipeline aligns telemetry and visual data, extracts frames at 20 FPS, and detects evasive maneuvers using threshold-based time-series analysis. ANAID provides a fully aligned and non-destructive representation of naturalistic driving behavior, enabling research on control prediction, driver modeling, anomaly detection, and human–autonomy interaction in realistic traffic conditions.
Solvers for the Hermitian and the pseudo-Hermitian Bethe–Salpeter equation in the Yambo code: Implementation and performance
(2026) Milev, Petru; Mellado Pinto, Blanca; Nalabothula, Muralidhar; Esquembre Kucukalic, Ali; Alvarruiz, Fernando; Ramos, Enrique; Filippone, Francesco; Molina Sánchez, Alejandro; Wirtz, Ludger; Román, José; Et. al.
This study aims to analyze the performance of two strategies in solving the structured eigenvalue problem deriving from the Bethe–Salpeter equation (BSE) in condensed matter physics. The BSE matrix is constructed with the Yambo code, and the two strategies are implemented by interfacing Yambo with the ScaLAPACK and ELPA libraries for direct diagonalization, and with the SLEPc library for the iterative approach. We consider both the Hermitian (Tamm–Dancoff approximation) and pseudo-Hermitian forms, addressing dense matrices of three different sizes.
Madrid Soundscape Map: listening and identity_ MADLIST
(2024) Palmese, Cristina; Carles, José Luis
This paper focuses on a research work in progress, Soundscape Map of Madrid: Identity and Listening, an interactive and accessible online mapbased system. This research aims to build an informal digital space of situations, actions, experiences, listening, and physical data capable of highlighting the importance of sound in everyday life in the city center of Madrid. This multi-layered map is a place for local people, artists, researchers, urban planners, and municipalities to work together, as well as to provide collective knowledge about sound in the environment we live in and to enhance collaborative design for sustainable and creative environments. The research aims to explore the identity of places based on listening as generous listening: listening to our body, the collective body, and the sound environment in an open process of exploration/experimentation with a hybrid methodology and several tools: informal meeting with citizen, interviews, storytelling, soundwalk, digital map, recording data collections.
Conceptual design report of the Super Tau-Charm Facility: the accelerator
(2025) Congai, Xiao; Pan An, Liu; Zhong An, Shi; Bai, Yu; Zhenghe, Bai; Bakina, Olga; Cong Bao, Jian; Batozskaya, Varvara; Belias, Anastasios; Gisbert Mullor, Héctor
Electron–positron colliders operating in the GeV center-of-mass range, or tau-charm energy region, have been proved to enable competitive frontier research due to several unique features. With the progress of high-energy physics in the last two decades, a new-generation Tau-Charm factory, called the Super Tau-Charm Facility (STCF), has been actively promoted by the particle physics community in China. STCF has the potential to address fundamental questions such as the essence of color confinement and the matter–antimatter asymmetry within the next decades. The STCF project aims to secure support from the Chinese central government for its construction during the 15th Five-Year Plan (2026–2030).
LiteBIRD science goals and forecasts: improved full-sky reconstruction of the gravitational lensing potential through the combination of Planck and LiteBIRD data
(2025) Ruiz Granda, Miguel; Diego Palazuelos, Patricia; Gimeno Amo, Crhistian; Vielva, Patricio; Lonappan, Anto Idicherian; Namikawa, Toshiya; Génova Santos, R. T.; Lembo, Margherita; Nagata, Ryo; López-Caniego Alcarria, Marcos; et al.
Cosmic microwave background (CMB) photons are deflected by large-scale structure through gravitational lensing. This secondary effect introduces higher-order correlations in CMB anisotropies, which are used to reconstruct lensing deflections. This allows mapping of the integrated matter distribution along the line of sight, probing the growth of structure, and recovering an undistorted view of the last-scattering surface. Gravitational lensing has been measured by previous CMB experiments, with Planck's 42 σ detection being the current best full-sky lensing map. We present an enhanced LiteBIRD lensing map by extending the CMB multipole range and including the minimum-variance estimation, leading to a 49 to 58 σ detection over 80 % of the sky, depending on the final complexity of polarized Galactic emission. The combination of Planck and LiteBIRD will be the best full-sky lensing map in the 2030s, providing a 72 to 78 σ detection over 80 % of the sky, almost doubling Planck's sensitivity. Finally, we explore different applications of the lensing map, including cosmological parameter estimation using a lensing-only likelihood and internal delensing, showing that the combination of both experiments leads to improved constraints. The combination of Planck + LiteBIRD will improve the S8 constraint by a factor of 2 compared to Planck, and Planck + LiteBIRD internal delensing will improve LiteBIRD's tensor-to-scalar ratio constraint by 6 %. We have tested the robustness of our results against foreground models of different complexity, showing that improvements remain even for the most complex foregrounds.
EcoMat. Ecología material. Material ecology. Manual práctico de materiales emergentes biobasados
(EcoHabitar, 2025) Pizarro Juanas, Esther Ana; Rodera Martínez, Paloma; Rego Robles, Miguel Ángel; Trigo Morán, Miguel; Gómez, Kenneth; Marcos Solórzano, Isabel; Iradier, Olga; Pizarro Juanas, Esther Ana; Trigo Morán, Miguel; Marcos Solórzano, Isabel; Trigo Morán, Miguel (Fotografía); González Pérez, Julia (DIseño Gráfico); Moyano Martí, Uxue (Diseño Gráfico); Marcos Solórzano, Isabel (Traducción); Gutiérrez Dewar, Sally (Traducción)
Manual de información sobre materiales emergentes biobasados que compila el conocimiento completo sobre estos materiales y configura una materioteca para la consulta. Esta guía es producto del proyecto EcoMat desarrollada por el grupo de investigación Ecosistemas Creativos y BioDiseño [EcoBD Lab], adscrito al Campus Creativo de la Universidad Europea de Madrid.
EcoMat. Ecología material. Material ecology. Archivo de materiales emergentes biobasados
(EcoHabitar, 2025) Pizarro Juanas, Esther Ana; Trigo Morán, Miguel; Marcos Solórzano, Isabel; Iradier, Olga; Gómez, Kenneth; Pizarro Juanas, Esther Ana; Trigo Morán, Miguel; Marcos Solórzano, Isabel; Trigo Morán, Miguel (Fotógrafía); González Pérez, Julia (Diseño Gráfico); Moyano Martí, Uxue (Diseño Gráfico); Marcos Solórzano, Isabel (Traducción)
Compendio catalográfico de materiales biobasados con documentación gráfica y textual, así como a la descripción de los métodos de elaboración y procesado utilizados en cada caso. Este compendio es producto del proyecto EcoMat desarrollada por el grupo de investigación Ecosistemas Creativos y BioDiseño [EcoBD Lab], adscrito al Campus Creativo de la Universidad Europea de Madrid.
First release of LiteBIRD simulations from an end- to-end pipeline
(2025) Bortolami, Marco; Raffuzzi, Niccolò; Pagano, Luca; Puglisi, Giuseppe; Anand, Avinash; Banday, Anthony; Campeti, Paolo; Galloni, Giacomo; Lonappan, Anto Idicherian; López-Caniego Alcarria, Marcos; et al.
The LiteBIRD satellite mission aims at detecting Cosmic Microwave Background B modes with unprecedented precision, targeting a total error on the tensor-to-scalar ratio r of δr ∼ 0.001. Operating from the L2 Lagrangian point of the Sun-Earth system, LiteBIRD will survey the full sky across 15 frequency bands (34 to 448 GHz) for 3 years.The current LiteBIRD baseline configuration employs 4508 detectors sampling at 19.1 Hz to achieve an effective polarization sensitivity of 2 µK arcmin and an angular resolution of 31 arcmin (at 140 GHz). We describe the first release of the official LiteBIRD simulations, realized with a new simulation pipeline developed using the LiteBIRD Simulation Framework. This pipeline generates 500 full-sky simulated maps at a HEALPix resolution of Nside=512. The simulations include also one year of Time Ordered Data (TOD) for approximately one-third of LiteBIRD’s total detectors.
On the computational feasibility of Bayesian end-to-end analysis of LiteBIRD simulations within Cosmoglobe
(2025) Aurvik, Ragnhild; Galloway, Mathew; Gjerløw, Eirik; Fuskeland, Unni; Basyrov, Artem; Bortolami, Marco; Brilenkov, Maksym; Campeti, Paolo; Eriksen, Hans Kristian Kamfjord; López-Caniego Alcarria, Marcos; et al.
We assess the computational feasibility of end-to-end Bayesian analysis of the JAXA-led LiteBIRD experiment by analysing simulated time ordered data (TOD) for a subset of detectors through the Cosmoglobe and Commander3 framework. The data volume for the simulated TOD is 1.55TB, or 470GB after Huffman compression. From this we estimate a total data volume of 238TB for the full three year mission, or 70TB after Huffman compression. We further estimate the running time for one Gibbs sample, from TOD to cosmological parameters, to be approximately 3000CPUhours. The current simulations are based on an ideal instrument model, only including correlated 1/f noise. Future work will consider realistic systematics with full end-to-end error propagation. We conclude that these requirements are well within capabilities of future high-performance computing systems.
Determination of Galaxy Photometric Redshifts Using Conditional Generative Adversarial Networks (CGANs)
(Springer, 2026) García Fernández, Manuel
Accurate and reliable galaxy redshift determination is a key requirement for wide-field photometric surveys. The estimation of pho-tometric redshifts for galaxies has traditionally been addressed using artificial intelligence techniques trained on calibration samples, where both photometric and spectroscopic data are available. In this paper, we present the first algorithmic approach for photometric redshift estimation using Conditional Generative Adversarial Networks (CGANs). The pro-posed implementation is capable of producing both point estimates and probability density functions for photometric redshifts. The methodology is tested on Year 1 data from the Dark Energy Survey (DES-Y1) and compared against the current state-of-the-art Mixture Density Network (MDN) algorithm. The CGAN approach achieves comparable quality metrics to the MDN, demonstrating its potential and opening the door to the use of adversarial networks in photometric redshift estimation.
Digital Cartography of a Judenhaus: Spatial, Technical, and Atmospheric Strategies in ScanLAB Projects
(2025) Servando Carrillo, Rubén; Cano Ciborro, Víctor; Arroyo Zapatero, Carlos; Esteban Penelas, José Luis; Inglés Gosálbez, Beatriz; Galmés Cerezo, Álvaro
On June 29, 2023, the German theatre company Berliner Ensemble premiered Felix’s Room, a play set in Nazi Germany in 1942. It recounts the story of Felix and Erna Ganz following their expulsion from their home and confinement in a Judenhaus—housing where the Nazi regime concentrated Jews under inhumane conditions prior to deportation. Based on letters and sketches discovered by their great-grandson, Adam Ganz, the project evolved into a scenographic proposal that integrates advanced digital technologies. In collaboration with ScanLAB Projects—a studio specialized in LiDAR and SLAM systems—Ganz reconstructs domestic spaces and memories through spatial scans. This article examines how ScanLAB’s spatial technologies produce sensitive digital architectures that challenge conventional notions of materiality. Through scenographic analysis and a qualitative case study, it compares Frozen Relic and Displaced Witness with Felix’s Room to reveal spatial strategies that recreate marginalized or erased realities.
Requirements on bandpass resolution and measurement precision for LiteBIRD
(2025) López-Caniego Alcarria, Marcos; Giardiello, Serena; Carones, Alessandro; Ghigna, Tommaso; Pagano, Luca; Piacentini, Francesco; Montier, Lucile; Takaku, Ryosuke; Calabrese, Erminia; Adak, Debanjan; López-Caniego Alcarria, Marcos; et al.
Systematic effects can hinder the sought-after detection of primordial gravitational waves, impacting the reconstruction of the B-mode polarization signal which they generate in the cosmic microwave background (CMB). In this work, we study the impact of an imperfect knowledge of the instrument bandpasses on the estimate of the tensor-to-scalar ratio r in the context of the next-generation LiteBIRD satellite. We develop a pipeline to integrate over the bandpass transmission in both the time-ordered data (TOD) and the map-making processing steps. We introduce the systematic effect by having a mismatch between the “real”, high resolution bandpass τ , entering the TOD, and the estimated one τs, used in the map-making. We focus on two aspects: the effect of degrading the τs resolution, and the addition of a Gaussian error σ to τs. To reduce the computational load of the analysis, the two effects are explored separately, for three representative LiteBIRD channels (40 GHz, 140 GHz and 402 GHz) and for three bandpass shapes. Computing the amount of bias on r, ∆r, caused by these effects on a single channel, we find that a resolution ≲ 1.5 GHz and σ ≲ 0.0089 do not exceed the LiteBIRD budget allocation per systematic effect, ∆r < 6.5 × 10−6. We then check that propagating separately the uncertainties due to a resolution of 1 GHz and a measurement error with σ = 0.0089 in all LiteBIRD frequency channels, for the most pessimistic bandpass shape of the three considered, still produces a ∆r < 6.5 × 10−6. This is done both with the simple deprojection approach and with a blind component separation technique, the Needlet Internal Linear Combination (NILC). Due to the effectiveness of NILC in cleaning the systematic residuals, we have tested that the requirement on σ can be relaxed to σ ≲ 0.05.
Multi-dimensional optimisation of the scanning strategy for the LiteBIRD space mission
(2024) Takase, Yusuke; Vacher, Léo; Ishino, Hirokazu; Patanchon, Guillaume; Montier, Laurent; Stever, Samantha; Ishizaka, Kenta; Nagano, Yuya; Wang, Wang; López-Caniego Alcarria, Marcos; et al.
Large angular scale surveys in the absence of atmosphere are essential for measuring the primordial B-mode power spectrum of the Cosmic Microwave Background (CMB). Since this proposed measurement is about three to four orders of magnitude fainter than the temperature anisotropies of the CMB, in-flight calibration of the instruments and active suppression of systematic effects are crucial. We investigate the effect of changing the parameters of the scanning strategy on the in-flight calibration effectiveness, the suppression of the systematic effects themselves, and the ability to distinguish systematic effects by null-tests. Next-generation missions such as LiteBIRD, modulated by a Half-Wave Plate (HWP), will be able to observe polarisation using a single detector, eliminating the need to combine several detectors to measure polarisation, as done in many previous experiments and hence avoiding the consequent systematic effects. While the HWP is expected to suppress many systematic effects, some of them will remain. We use an analytical approach to comprehensively address the mitigation of these systematic effects and identify the characteristics of scanning strategies that are the most effective for implementing a variety of calibration strategies in the multi-dimensional space of common spacecraft scan parameters. We verify that LiteBIRD's standard configuration yields good performance on the metrics we studied. We also present Falcons.jl, a fast spacecraft scanning simulator that we developed to investigate this scanning parameter space.

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