A Deep-Learned Monolithic Nanoparticle Asymmetric Thermal Flow Sensor for Flow Vector Estimation.

ABSTRACT: Flow sensing is essential in various fields, including industrial, environmental, and biomedical applications, where accurate measurement of fluid dynamics is crucial. Traditional flow sensors are often bulky and complex, which can distort the flow and complicate installation when placed directly in the flow path. To address these issues, we developed a deep-learned monolithic asymmetric thermal flow sensor. The sensor is fabricated via laser-induced selective sintering and reduction of nickel oxide nanoparticles, seamlessly integrating a microheater and temperature sensors into a thin-film device. This thin-film design minimizes flow disturbance and improves measurement accuracy. Unlike conventional calorimetric flow sensors that require complex multiarray electrode configurations, our sy

SUBMITTER: Park H 

PROVIDER: S-EPMC12410051 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature