Artículos - Ingeniería
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Computational Intelligence for Sustainable Glass Manufacturing: A Data-Driven Approach for Energy Efficient Conditioning
(John Wiley and Sons Ltd, 2026)In the glass container manufacturing process, conditioning is a key stage that contributes to energy consumption. The main objective of conditioning is to cool the glass exiting the furnace to a suitable temperature for ... -
Techno-economic assessment of centralized and decentralized energy management strategies for energy sharing in collective self-consumption schemes
(Elsevier, 2026)The increasing deployment of individual and collective self-consumption systems is reshaping Energy Management Systems (EMSs) under evolving regulatory frameworks. This paper presents a techno-economic comparison between ... -
Characterisation and modelling of prestrained viscoelastic films
(Elsevier, 2014) -
Battery aging-aware adaptive model predictive control based on coupled semi-empirical electro-thermal and aging models
(Elsevier, 2025)This paper presents an aging-rate aware nonlinear model predictive control (MPC) strategy for battery energy storage systems, integrating a semi-empirical, experimentally validated electro-thermal and degradation model to ... -
Elementary band representations for the single-particle Green's function of interacting topological insulators
(American Physical Society, 2021) -
Interacting topological quantum chemistry of Mott atomic limits
(American Physical Society, 2023)Topological quantum chemistry (TQC) is a successful framework for identifying (noninteracting) topological materials. Based on the symmetry eigenvalues of Bloch eigenstates at maximal momenta, which are attainable from ... -
Image Enhancement using GANs for Monocular Visual Odometry
(IEEE, 2021)Drones, mobile robots, and autonomous vehicles use Visual Odometry (VO) to move around complex environments. ORB-SLAM or deep learning-based approaches like DF-VO are two of the state-of-the-art technics for monocular VO. ... -
Adaptive long-term traffic state estimation with evolving spiking neural networks
(Elsevier, 2019-01-29)Due to the nature of traffic itself, most traffic forecasting models reported in literature aim at producing short-term predictions, yet their performance degrades when the prediction horizon is increased. The scarce ... -
Road traffic forecasting: recent advances and new challenges
(IEEE, 2018-04-20)Due to its paramount relevance in transport planning and logistics, road traffic forecasting has been a subject of active research within the engineering community for more than 40 years. In the beginning most approaches ... -
Lecture notes on Berry phases and topology
(SciPost Foundation, 2022)In these notes, we review the role of Berry phases and topology in noninteracting electron systems. Topics including the adiabatic theorem, parallel transport, and Wannier functions are reviewed, with a focus on the ... -
Evolving Spiking Neural Networks for online learning over drifting data streams
(Elsevier, 2018-06-18)Nowadays huge volumes of data are produced in the form of fast streams, which are further affected by non-stationary phenomena. The resulting lack of stationarity in the distribution of the produced data calls for efficient ... -
On the imputation of missing data for road traffic forecasting: new insights and novel techniques
(Elsevier, 2018-02-20)Vehicle flow forecasting is of crucial importance for the management of road traffic in complex urban networks, as well as a useful input for route planning algorithms. In general traffic predictive models rely on data ... -
The role of local urban traffic and meteorological conditions in air pollution: a data-based case study in Madrid, Spain
(Elsevier, 2016-04-19)Urban air pollution is a matter of growing concern for both public administrations and citizens. Road traffic is one of the main sources of air pollutants, though topography characteristics and meteorological conditions ... -
Influence of contact resistance on thermal behavior of pouch-cell battery modules under partial direct liquid cooling: A numerical study
(Elsevier, 2026)Direct liquid cooling (DLC) using dielectric fluids is emerging as a highly effective strategy for thermal management in high-performance lithium-ion battery systems, particularly under demanding operating conditions. ... -
Orbital Ingredients and Persistent Dirac Surface State for the Topological Band Structure in FeTe0.55Se0.45
(APS, 2024)FeTe0.55Se0.45 (FTS) occupies a special spot in modern condensed matter physics at the intersections of electron correlation, topology, and unconventional superconductivity. The bulk electronic structure of FTS is predicted ... -
Topology of SmB6 revisited by means of topological quantum chemistry
(American Physical Society, 2024)The mixed-valence compound SmB6 with partially filled samarium 4f flat bands hybridizing with 5d conduction bands is a paramount example of a correlated topological heavy-fermion system. In this study, we revisit the ...
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