Results 191 to 200 of about 10,628 (280)

Animating blossom: Time‐lapse to encourage plant awareness in the YouTube era

open access: yesPLANTS, PEOPLE, PLANET, EarlyView.
Time‐lapse videos can effectively capture key traits of flower blossoms, such as color, 3D structure, and temporal changes, making them valuable complements to herbarium specimens and other botanical collections. Despite the abundance of such videos on YouTube, most provide no ecological and botanical insights.
Tae Kyung Yoon
wiley   +1 more source

Predicting Drop‐Weight Impact Sensitivity From Molecular Graphs Using Physics‐Informed Artificial Intelligence

open access: yesPropellants, Explosives, Pyrotechnics, EarlyView.
This work presents an approach for predicting the drop‐weight impact sensitivity of pure molecular explosives directly from 2D molecular graphs using physics‐informed artificial intelligence (AI) models. A dataset comprising experimentally measured sensitivities for 625 unique high‐explosive molecules is augmented with physics‐informed synthetic ...
Grant Hutchings   +4 more
wiley   +1 more source

Numerical Simulations of Very Low Velocity Impacts and Ignition of an Explosive Confined by a Thin Case

open access: yesPropellants, Explosives, Pyrotechnics, EarlyView.
A low‐speed impact (around one meter per second) of a metallic tip on an explosive confined by a thin plate is simulated. The heat due to friction between the tip and the plate and the one due to the deformation of the plate are not transfered to the ignited zone.
Lucas Bonneau, Didier Picart
wiley   +1 more source

Ru‐Ag Dual Atom Sites for Methane Detection Enabling Intelligent Thermal Runaway Warning in Lithium‐Ion Batteries

open access: yesRare Metals, EarlyView.
ABSTRACT Early detection of thermal runaway (TR) is essential for lithium‐ion battery (LIB) safety, as unchecked TR risks catastrophic failures in energy storage systems. Gas‐based sensing offers a faster and more direct approach by detecting decomposition products at the molecular level.
Tianshui Liang   +9 more
wiley   +1 more source

Deep Reinforcement Learning‐Based Control for Real‐Time Hybrid Simulation of Civil Structures

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Real‐time Hybrid Simulation (RTHS) is a cyber‐physical technique that studies the dynamic behavior of a system by combining physical and numerical components that are coupled through a boundary condition enforcer. In structural engineering, the numerical components are subjected to environmental loads that become dynamic displacements of the ...
Andrés Felipe Niño   +6 more
wiley   +1 more source

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