output
20032026
most citedPositron lifetime calculation of the elements of the periodic table

256 citations

Showing 2025Show all

10 papers · 1 filter

cs.LG2025★ 5 cited

Bayesian Physics Informed Neural Networks for Reliable Transformer Prognostics

Ibai Ramirez, Jokin Alcibar, Joel Pino +3

Scientific Machine Learning (SciML) integrates physics and data into the learning process, offering improved generalization compared with purely data-driven models. Despite its pot…

cs.SE2025

Search-based Generation of Waypoints for Triggering Self-Adaptations in Maritime Autonomous Vessels

Karoline Nylænder, Aitor Arrieta, Shaukat Ali +1

Self-adaptation in maritime autonomous vessels (AVs) enables them to adapt their behaviors to address unexpected situations while maintaining dependability requirements. During the…

cs.LG2025★ 6 cited

On-site estimation of battery electrochemical parameters via transfer learning based physics-informed neural network approach

Josu Yeregui, Iker Lopetegi, Sergio Fernandez +2

This paper presents a novel physical parameter estimation framework for on-site model characterization, using a two-phase modelling strategy with Physics-Informed Neural Networks (…

eess.SP2025★ 7 cited

Comparative analysis and evaluation of ageing forecasting methods for semiconductor devices in online health monitoring

Adrian Villalobos, Iban Barrutia, Rafael Pena-Alzola +2

Semiconductor devices, especially MOSFETs (Metal-oxide-semiconductor field-effect transistor), are crucial in power electronics, but their reliability is affected by aging processe…

quant-ph2025

A Useful Metric for the NISQ Era: Qubit Error Probability and Its Role in Zero Noise Extrapolation

Nahual Sobrino, Unai Aseginolaza, Joaquim Jornet-Somoza +1

Accurate assessment and management of errors is indispensable for extracting useful results from noisy intermediate-scale quantum (NISQ) devices. In this work, we propose the qubit…

eess.SY2025★ 7 cited

Efficient Calculation of Stabilization Parameters in RF Power Amplifiers

Libe Mori, Ibone Lizarraga, Aitziber Anakabe +3

This paper proposes an efficient method for the calculation of the stabilization parameters in RF power amplifiers operating in periodic large-signal regimes. Stabilization is achi…

physics.ins-det2025★ 19 cited

Monitoring lead-acid battery function using operando neutron radiography

Jose Miguel Campillo-Robles, Damian Goonetilleke, Daniel Soler +6

Investigating batteries while they operate allows researchers to track the inner electrochemical processes involved in working conditions. This study describes the first neutron ra…

physics.app-ph2025★ 41 cited

General hybrid asymmetric capacitor model: validation with a commercial lithium ion capacitor

Jose Miguel Campillo-Robles, Xabier Artetxe, Karmele del Teso Sánchez +5

Modelling and numerical simulations play a vital role in the design and optimization of electrochemical energy storage devices. In this study, a general physics-based model is deve…

physics.app-ph2025★ 7 cited

Effect of thickness on the maximum potential drop of current collectors

Jose Miguel Campillo-Robles, Xabier Artetxe, Karmele del Teso Sánchez

The basic principle for achieving high-power capability on an electrochemical energy storage cell is minimizing the overall resistance. The resistance due to current collecting sys…

cond-mat.soft2025★ 18 cited

Review and analysis of thermophysical properties of a sulfuric acid-water electrolyte

Laura Oca, Jose Miguel Campillo, Mounir M. Bou-Ali

In this work, we have performed a critical review of the thermophysical properties of sulfuric acid-water mixtures. The thermophysical properties analyzed are density, viscosity, r…