Results 101 to 110 of about 6,315 (255)
Advancing Energy Materials by In Situ Atomic Scale Methods
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
A combination of discrete and finite element method models for the current collector deformation and electrochemical performance analysis, respectively. The models are calibrated and validated with electrochemical and imaging data of hard carbon electrodes. These electrodes were manufactured with different parameters (slurry solid contents of 35 and 40
Soorya Saravanan +12 more
wiley +1 more source
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source
Characterization of a Molecular Clone of Deformed Wing Virus B
Honey bees (Apis mellifera) play a crucial role in agriculture through their pollination activities. However, they have faced significant health challenges over the past decades that can limit colony performance and even lead to collapse. A primary culprit is the parasitic mite Varroa destructor, known for transmitting harmful bee viruses.
Barth, Sandra +8 more
openaire +4 more sources
Farmers’ Protests in Germany: Media Coverage and Types of Bias
ABSTRACT The German farmers’ protests of 2024 sparked widespread media coverage and public debate. Yet, media coverage was not always positive, reflecting the media's attention‐seeking and selective focus. Occurrences of farmers blocking media outlets reflected distrust in how their concerns were portrayed.
Felix Schlichte, Doris Läpple
wiley +1 more source
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz +4 more
wiley +1 more source
Evolution of Physical Intelligence Across Scales
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu +7 more
wiley +1 more source
Bioinspired Design, Fabrication, and Wing Morphing of 3D‐Printed Magnetic Butterflies
Monarch butterflies’ remarkable migratory abilities, facilitated by their efficient wing structures, inspire the development of bioinspired soft robots and microaerial vehicles.
Muhammad Bilal Khan +7 more
doaj +1 more source
Simulation of transient fluid–structure interaction in flapping-wing micro aerial vehicles
The objective of this study is to investigate aeroelastic phenomena occurring during airflow around flapping wings of a micro aerial vehicle (MAV) inspired by insect anatomy.
W. Stankiewicz +2 more
doaj +1 more source
Overcoming the Nyquist Limit in Molecular Hyperspectral Imaging by Reinforcement Learning
Explorative spectral acquisition guide automatically selects informative spectral bands to optimize downstream tasks, outperforming full‐spectrum acquisition. The selected hyperspectral data are used for tasks such as unmixing and segmentation. BandOptiNet encodes selection states and outputs optimal bands to guide spectral acquisition. Recent advances
Xiaobin Tang +4 more
wiley +1 more source

