2 papers
cs.LG2026
Stochastic hierarchical data-driven optimization: application to plasma-surface kinetics
José Afonso, Vasco Guerra, Pedro Viegas
This work introduces a stochastic hierarchical optimization framework inspired by Sloppy Model theory for the efficient calibration of physical models. Central to this method is th…
physics.plasm-ph2025
Boosting the NOx production in microwave air plasma: A synergy of chemistry and vibrational kinetics
Qinghao Shen, Aleksandr Pikalev, Jonas Gans +4
This study employs a quasi-1.5D multi-temperature model to investigate the mechanisms governing NOx production and energy costs in microwave plasma reactors operating at 80 mbar, f…