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An In‐Line Machine Vision–Based Profilometry Tool for Non‐Destructive Thickness Assessment of Perovskite Films

open access: yesAdvanced Electronic Materials, EarlyView.
This work proposes a machine‐vision‐based tool for predicting the thickness of in‐line deposited perovskite films, enabling real‐time decision making to control deposition parameters. The workflow integrates perovskite deposition and annealing with uniformity analysis and minimodule fabrication.
Juan Pablo Velásquez   +9 more
wiley   +1 more source

Advancing Energy Materials by In Situ Atomic Scale Methods

open access: yesAdvanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss   +21 more
wiley   +1 more source

Echoes in AI: Quantifying lack of plot diversity in LLM outputs. [PDF]

open access: yesProc Natl Acad Sci U S A
Xu W   +4 more
europepmc   +1 more source
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How does online peer feedback improve argumentative essay writing and learning?

Innovations in Education and Teaching International, 2021
Saeed Latifi, Omid Noroozi, Javad Hatami
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Gender differences in students’ argumentative essay writing, peer review performance and uptake in online learning environments

Interactive Learning Environments, 2023
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Worked example or scripting? Fostering students’ online argumentative peer feedback, essay writing and learning

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