Results 211 to 220 of about 37,675 (341)

A Quasi-Resonant System for High-Frequency Trans-Spinal Magnetic Stimulation (HF-TSMS). [PDF]

IEEE Trans Biomed Eng
Marturano F, Straney D, Colella M, Chen YI, Ay I, Bonmassar G.   +5 more
europepmc   +1 more source

Optical Packet and Burst Switched Networks Performance for Time-Dependent Video Traffic

, 2017
E. Santos, R. Coelho
openalex   +2 more sources

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

Propellants, 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, Jack V. Davis, Virginia W. Manner, Marc J. Cawkwell, Frank W. Marrs   +4 more
wiley   +1 more source

Light-induced negative differential resistance and neural oscillations in neuromorphic photonic semiconductor micropillar sensory neurons. [PDF]

Sci Rep
Jacob B, Silva J, Figueiredo JML, Nieder JB, Romeira B.   +4 more
europepmc   +1 more source

Crosstalk minimization in Microring-Based Wavelength Routing Matrices [PDF]

, 2011
Bianco, Andrea, Cuda, Davide, Garrich, M., Gavilanes Castillo, Guido Alejandro, Martina, Valentina, Neri, Fabio   +5 more
core   +1 more source

A novel optical burst switching architecture for high speed networks

, 2008
Amit Garg, R.S. Kaler
openalex   +1 more source

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

Rare 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, Weifang Ma, Yuhang Song, Wenqi Hou, Zongke Li, Jiayi Liu, Wen Wang, Yang Jin, Ronghan Wei, Qiyan Wang   +9 more
wiley   +1 more source

Phase-Change Materials for Volatile Threshold Resistive Switching and Neuronal Device Applications. [PDF]

Adv Sci (Weinh)
Chen H, Ravichandran J.
europepmc   +1 more source

Methods of analyses, providing and differentiation schemes Quality of Service in Optical Packet/Burst Switched Networks

, 2008
Anna Kaczmarek
openalex   +1 more source

Discovery of Sustainable Energy Materials Via the Machine‐Learned Material Space

Small, EarlyView.
State‐of‐the‐art machine learning models used in materials science are shown to construct meaningful internal representations, which can be interpreted as a map of the material space from the viewpoint of the network. It shows how this map can be used to find alternative, e.g., more sustainable materials for important optical materials, such as ...
Malte Grunert, Max Großmann, Erich Runge   +2 more
wiley   +1 more source