Integrating physics-based simulations, machine learning, and Bayesian inference for accurate detection and metrology of elongated nanoscale analytes using high-frequency capacitance spectroscopy
Articolo
Data di Pubblicazione:
2025
Citazione:
Integrating physics-based simulations, machine learning, and Bayesian inference for accurate detection and metrology of elongated nanoscale analytes using high-frequency capacitance spectroscopy / Khodadadian, Ehsan; Goldoni, Daniele; Nicolini, Jacopo; Khodadadian, Amirreza; Heitzinger, Clemens; Selmi, Luca. - In: ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE. - ISSN 0952-1976. - 159:(2025), pp. 111679-111679. [10.1016/j.engappai.2025.111679]
Tipologia CRIS:
Articolo su rivista
Keywords:
Bayesian inversion; Data augmentation; High-frequency impedance spectroscopy; Machine learning; Nanoscale metrology; Physics-based simulation;
Elenco autori:
Khodadadian, Ehsan; Goldoni, Daniele; Nicolini, Jacopo; Khodadadian, Amirreza; Heitzinger, Clemens; Selmi, Luca
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