JULIAN
GARCIA FERNANDEZ
Investigador no período 2023-2024
ENRIQUE
COMESAÑA FIGUEROA
Profesor axudante doutor
Publicacións nas que colabora con ENRIQUE COMESAÑA FIGUEROA (10)
2024
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A General Toolkit for Advanced Semiconductor Transistors: From Simulation to Machine Learning
IEEE Journal of the Electron Devices Society
2023
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A comprehensive Pelgrom-based on-current variability model for FinFET, NWFET and NSFET
Solid-State Electronics, Vol. 199
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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
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An accurate machine learning model to study the impact of realistic metal grain granularity on Nanosheet FETs
Solid-State Electronics, Vol. 207
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Figures of merit that characterize silicon gate-all-around nanowire FETs affected by line edge roughness variability
Zenodo
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Figures of merit that characterize silicon gate-all-around nanowire FETs affected by line edge roughness variability
Zenodo
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Optimization of thermionic cooling semiconductor heterostructures with deep learning techniques
International Conference on Simulation of Semiconductor Processes and Devices, SISPAD
2022
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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
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Impact of metal grain granularity on three gate-all-around advanced architectures
International Conference on Simulation of Semiconductor Processes and Devices, SISPAD
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Simulations of statistical variability in n-Type FinFET, nanowire, and nanosheet FETs
IEEE Electron Device Letters, Vol. 42, Núm. 10, pp. 1416-1419