Publicacións nas que colabora con ENRIQUE COMESAÑA FIGUEROA (36)

2025

  1. Gallium nitride: a strong candidate to replace GaAs as base material for optical photovoltaic converters in space exploration

    Optics and Laser Technology, Vol. 192

  2. MLFoMpy: A post-processing tool for semiconductor TCAD data with machine-learning capabilities

    SoftwareX, Vol. 30

  3. Silicon carbide photovoltaic converters: a revolutionary technology for powering spacecrafts

    2025 IEEE Wireless Power Technology Conference and Expo, WPTCE 2025 - Proceedings

2024

  1. A General Toolkit for Advanced Semiconductor Transistors: From Simulation to Machine Learning

    IEEE Journal of the Electron Devices Society, Vol. 12, pp. 1057-1064

  2. A new path towards ultra-high efficient laser power converters: Silicon carbide-based multijunction devices

    Results in Engineering, Vol. 21

  3. A novel machine learning workflow to optimize cooling devices grounded in solid-state physics

    Scientific Reports, Vol. 14, Núm. 1

2023

  1. A comprehensive Pelgrom-based on-current variability model for FinFET, NWFET and NSFET

    Solid-State Electronics, Vol. 199

  2. A machine learning approach to model the impact of line edge roughness on gate-all-around nanowire FETs while reducing the carbon footprint

    PLoS ONE, Vol. 18, Núm. 7 JULY

  3. An accurate machine learning model to study the impact of realistic metal grain granularity on Nanosheet FETs

    Solid-State Electronics, Vol. 207

  4. Figures of merit that characterize silicon gate-all-around nanowire FETs affected by line edge roughness variability

    Zenodo

  5. Improving the performance of photovoltaic laser power converters using automatic global optimization techniques

    2023 IEEE LATIN AMERICAN ELECTRON DEVICES CONFERENCE, LAEDC

  6. Optimization of thermionic cooling semiconductor heterostructures with deep learning techniques

    International Conference on Simulation of Semiconductor Processes and Devices, SISPAD

  7. Photogeneration and Performance Optimization (PhPO): A New Algorithm to Improve the Performance of Vertical Epitaxial Hetero-Structure Architecture Laser Power Converters

    IEEE Access, Vol. 11, pp. 84371-84378

2022

  1. Laser Power Converter Architectures Based on 3C-SiC with Efficiencies >80%

    Solar RRL, Vol. 6, Núm. 8

  2. Pelgrom-Based Predictive Model to Estimate Metal Grain Granularity and Line Edge Roughness in Advanced Multigate MOSFETs

    IEEE Journal of the Electron Devices Society, Vol. 10, pp. 953-959

2021

  1. Impact of metal grain granularity on three gate-all-around advanced architectures

    International Conference on Simulation of Semiconductor Processes and Devices, SISPAD

  2. Simulations of statistical variability in n-Type FinFET, nanowire, and nanosheet FETs

    IEEE Electron Device Letters, Vol. 42, Núm. 10, pp. 1416-1419

2017

  1. Collection length and optical path improvement in a-Si:H solar cells

    Optik, Vol. 140, pp. 370-380

2016

  1. Updated insight into the use of μc-Si:H n-layers in a-Si:H solar cells

    Thin Solid Films, Vol. 603, pp. 283-288

2015

  1. A tool to deploy nanodevice simulations on cloud

    Proceedings of the 2015 10th Spanish Conference on Electron Devices, CDE 2015