Results 21 to 30 of about 3,305,344 (308)
Self-powered flexible all-perovskite X-ray detectors with high sensitivity and fast response
iScience, 2021 Summary: Perovskite materials have demonstrated superior performance in many aspects of optoelectronic applications including X-ray scintillation, photovoltaic, photodetection, and so on.
Jin Hyuck Heo +4 more
doaj +1 more source
iScience, 2022 Summary: Beyond 5G networks would require newer technologies to deliver a smarter network. In accordance with these requirements, an electronically steerable compact antenna system capable of beam-switching in the azimuth plane is proposed.
Vikrant Singh +2 more
doaj +1 more source
How understanding large language models can inform the use of ChatGPT in physics education [PDF]
European journal of physics, 2023 The paper aims to fulfil three main functions: (1) to serve as an introduction for the physics education community to the functioning of large language models (LLMs), (2) to present a series of illustrative examples demonstrating how prompt-engineering ...
Giulia Polverini, B. Gregorcic
semanticscholar +1 more source
Optical damage limit of efficient spintronic THz emitters
iScience, 2021 Summary: THz pulses are generated from femtosecond pulse-excited ferromagnetic/nonmagnetic spintronic heterostructures via inverse spin Hall effect. The highest possible THz signal strength from spintronic THz emitters is limited by the optical damage ...
Sandeep Kumar +7 more
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An Overview of Teaching Physics for Undergraduates in Engineering Environments
Education Sciences, 2019 This paper is an overview of approaches to teaching physics courses delivered to students of engineering disciplines. It addresses, first, the history of teaching physics to engineering students starting in the early 20th century, then reviews the main ...
Janusz Zalewski +2 more
doaj +1 more source
Physics-Informed Deep Learning for Traffic State Estimation: A Survey and the Outlook
Algorithms, 2023 For its robust predictive power (compared to pure physics-based models) and sample-efficient training (compared to pure deep learning models), physics-informed deep learning (PIDL), a paradigm hybridizing physics-based models and deep neural networks ...
Xuan Di +3 more
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Impact of out-of-class science and engineering activities on physics identity and career intentions
Physical Review Physics Education Research, 2019 The number of physics bachelor’s degrees that are awarded in the United States annually is small compared to most other science, technology, engineering, and mathematics fields, and only about one-fifth of these degrees are awarded to women ...
Robynne M. Lock +2 more
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iScience, 2022 Summary: The application of photovoltaics (PVs) is expanding in various locations ranging from industrial facilities to residential housing. The emphasized concept in the PVs field is shifting from “watt-per-cost” to “energy-yield-per-watt.” To attain a ...
Min Ju Yun +3 more
doaj +1 more source
Data in Brief, 2018 This data article presents data of academic performances of undergraduate students in Science, Technology, Engineering and Mathematics (STEM) disciplines in Covenant University, Nigeria.
Temitope M. John +7 more
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Framework for unpacking students’ mindsets in physics by gender
Physical Review Physics Education Research, 2022 Physics is a science, technology, engineering, and mathematics discipline in which women are severely underrepresented. Prior work has identified motivation-based explanations for low participation and retention rates of women in physics.
Z. Yasemin Kalender +4 more
doaj +1 more source