Publications

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

III-V Nitride-based optical photovoltaic converters for optical wireless power transmission in air and underwater

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

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

Estudio estadístico de fluctuaciones en transistores MOSFET multipuerta ultraescalados

Optimization of thermionic cooling semiconductor heterostructures with deep learning techniques

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

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

A general toolkit for advanced semiconductor transistors: from simulation to machine learning

Analysis of the statistical impact of variability in a 12 nm nanosheet FET

An accurate neural network model to study threshold voltage variability due to metal grain granularity in Nanosheet FETs

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

Pelgrom-based predictive model to estimate metal grain granularity and line edge roughness in advanced multigate MOSFETs

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

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

Simulations of Statistical Variability in n-Type FinFET, Nanowire, and Nanosheet FETs

Semiconductor devices variability: modelling, characterization and data management

Threshold voltage variability study in a 12 nm gate length Nanosheet FET