Results 321 to 330 of about 1,484,707 (375)

Uranium Doped Gallium Nitride Epitaxial Thin Films

Advanced Electronic Materials, EarlyView.
Uranium was controllably added to gallium nitride using molecular beam epitaxy. The uranium atoms segregated into vertically oriented regions with higher doping levels. Concentrations up to a few percent were achieved without showing significant degradation in the crystalline quality or optical characteristics. Low electrical resistivity was maintained
J. Pierce Fix, Sabin Regmi, Aaron G. Penders, Sohail Shah, Kevin D. Vallejo, Volodymyr B. Buturlim, Belief Rifore, Krzysztof Gofryk, Mukesh Bachhav, Nicholas J. Borys, Brelon J. May   +10 more
wiley   +1 more source

People Counting and Positioning Using Low‐Resolution Infrared Images for FeFET‐Based In‐Memory Computing

Advanced Electronic Materials, EarlyView.
In this work, low‐resolution infrared imaging is combined with a 28 nm FeFET IMC architecture to enable compact, energy‐efficient edge inference. MLC FeFET devices are experimentally characterized, and controlled multi‐level current accumulation is validated at crossbar array level.
Alptekin Vardar, Li Zhang, Alexander Rehmer, Marc Lupp, Subhashree Baskaran, Osama Abdelaal, Franz Müller, Nandakishor Yadav, Bing Li, Thomas Kämpfe   +9 more
wiley   +1 more source

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

Advanced 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, Juan José Patiño, Keony Jimenez, Santiago Mesa, Milton Perez, Ershad Parvazian, Edwin Alexander Ramírez, Rafael Betancur, Trystan Watson, Franklin Jaramillo   +9 more
wiley   +1 more source

Advancing Energy Materials by In Situ Atomic Scale Methods

Advanced 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, Michael Seibt, Martin Wenderoth, Oliver Bünermann, Ole Bunjes, Till Domröse, Christian Eckel, Francesca Falorsi, Christoph Flathmann, Monica Kolek Martinez de Azagra, Matthias Krüger, Jonas Lindner, Tobias Meyer, Claus Ropers, Ulrich Ross, Kai Rossnagel, Sreeju Sreekantan Nair Lalithambika, Simone Techert, Georg A. Traeger, Cynthia Volkert, R. Thomas Weitz, Alec M. Wodtke   +21 more
wiley   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

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Sorting camera trap images

2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2017
Camera trapping is used by conservation biologists to study snow leopards. In this research, we introduce techniques that sort camera trap images into sets with snow leopards and those without. We use Robust Principal Component Analysis, thresholding, and binary morphology to create motion templates.
Agnieszka C. Miguel, Joshua S. Beard, Chleo Bales-Heisterkamp, Rana Bayrakcismith   +3 more
openaire   +1 more source

Camera trapping for conservation

2021
Abstract Camera traps use a motion sensor to capture images of passing animals, representing verifiable and non-invasive records of the presence of a given species at a specified place and time. These simple records provide fundamental data on biodiversity that have proven invaluable to conservation.
Rovero Francesco, Kays Roland
openaire   +2 more sources

A History of Camera Trapping

2011
The human desire to observe wild animals without disturbing them goes back at least to hunter-gatherers who constructed blinds. Our ability to do so was greatly enhanced with the development of photography and other, even more recent, innovations such as small, portable batteries, electric lights, and digital equipment.
Thomas E. Kucera, Reginald H. Barrett
openaire   +1 more source

Zooming in on mechanistic predator-prey ecology: integrating camera traps with experimental methods to reveal the drivers of ecological interactions.

Journal of Animal Ecology, 2020
Camera trap technology has galvanized the study of predator-prey ecology in wild animal communities by expanding the scale and diversity of predator-prey interactions that can be analyzed.
Justine A. Smith, J. Suraci, J. Hunter, Kaitlyn M. Gaynor, Carson Keller, M. Palmer, Justine L Atkins, I. Castañeda, M. J. Cherry, P. Garvey, Sarah E. Huebner, D. Morin, Lisa Teckentrup, M. Weterings, L. Beaudrot   +14 more
semanticscholar   +1 more source

Human-animal recognition in camera trap images

2018 26th Signal Processing and Communications Applications Conference (SIU), 2018
Camera trap is an image sensor that is widely used in monitoring biodiversity, identifying and tracking species in natural life. In this study, we investigate human-animal distinction in image dataset obtained from camera traps for the purpose of smuggling detection and prevention.
Emrah Simsek, Baris Ozyer, Levent Bayindir, Gulsah Tumuklu Ozyer   +3 more
openaire   +3 more sources