User-identified electronic cigarette behavioral strategies and device characteristics for cigarette smoking reduction.
Sign Up to like & getrecommendations! Published in 2018 at "Addictive behaviors"
DOI: 10.1016/j.addbeh.2017.12.010
Abstract: BACKGROUND There is limited evidence on how cigarette smokers use electronic cigarettes (ECIGs) for smoking cessation and reduction. This study used concept mapping, a participatory mixed-methods research approach, to identify ECIG use behaviors and device… read more here.
Keywords: smoking reduction; cigarette smoking; device characteristics; cigarette ... See more keywords
Mapping Oxidation and Wafer Cleaning to Device Characteristics Using Physics-Assisted Machine Learning
Sign Up to like & getrecommendations! Published in 2022 at "ACS Omega"
DOI: 10.1021/acsomega.1c05552
Abstract: It is always highly desired to have a well-defined relationship between the chemistry in semiconductor processing and the device characteristics. With the shrinkage of technology nodes in the semiconductors roadmap, it becomes more complicated to… read more here.
Keywords: machine learning; device characteristics; physics assisted; physics ... See more keywords
Study of device characteristics of intrinsic Josephson junction terahertz emitters related to annealing conditions of the crystals
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Applied Physics"
DOI: 10.1063/5.0137830
Abstract: We fabricated terahertz (THz) wave emitters from high-temperature superconductor Bi 2Sr 2CaCu 2O 8 + δ (Bi2212) single crystals annealed under oxygen gas ( O 2) flow and nitrogen gas ( N 2) flow conditions.… read more here.
Keywords: intrinsic josephson; annealed sample; study device; device characteristics ... See more keywords
Prediction of Device Characteristics of Feedback Field-Effect Transistors Using TCAD-Augmented Machine Learning
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DOI: 10.3390/mi14030504
Abstract: In this study, the device characteristics of silicon nanowire feedback field-effect transistors were predicted using technology computer-aided design (TCAD)-augmented machine learning (TCAD-ML). The full current–voltage (I-V) curves in forward and reverse voltage sweeps were predicted… read more here.
Keywords: field effect; tcad augmented; feedback field; device characteristics ... See more keywords