Featured Application Complexity, heterogeneity, and treatment resistance of cancers create
challenges in achieving successful treatment outcomes. Personalized cold atmospheric …

This paper comprehensively explores the integration of machine learning (ML) with
atmospheric pressure plasma, highlighting its transformative impact in areas, such as …

Semiconductors are the foundation of modern technology, used in our personal, industrial,
and military-grade devices. Every aspect of US society is closely tied to semiconductors, and …

Plasma-driven science is defined as the artificial control of physical plasma-driven
phenomena based on complex interactions between nonequilibrium open systems …

Impedance matching plays a critical role in achieving stable and controllable plasma
conditions in capacitive coupled plasma (CCP) systems. However, due to the complex circuit …

Cold atmospheric plasmas (CAPs) within recent years have shown great promise in the field
of plasma medicine, encompassing a variety of treatments from wound healing to the …

The present study explores combining machine learning (ML) algorithms with standard
optical diagnostics (such as time-integrated emission spectroscopy and imaging) to …

This study presents a proof-of-principle for using optical emission spectroscopy and artificial
neural networks for real-time monitoring and control of the operational parameters of a Hall …

Using the optical interaction potential between an electron and a helium atom, we have
calculated the momentum-transfer cross-section, collision frequency, and energy transfer …

The present study explores combining machine learning (ML) algorithms with standard
optical diagnostics (such as time--integrated emission spectroscopy and imaging) to …