Results 151 to 160 of about 54,467 (314)

Implantation‐On‐Chip: An AI‐Based Platform for Monitoring the Embryo Trophoblast–Endometrial Stroma Cross Talk With Xenobiotics Interference

Advanced Intelligent Systems, EarlyView.
We present a novel AI‐integrated implantation‐on‐chip platform that enables mimicking and monitoring the maternal–fetal interactions at the early phases of human embryo implantation with high spatiotemporal resolution. The complexity of the trophoblast invasion process was addressed by conducting the analysis at global (rate of invasion) and local ...
Joanna Filippi, Valentina Lacconi, Arianna Mencattini, Micol Massimiani, Dolores Lobresca, Gaia Posanzini, Alessia Riccardi, Paola Casti, Michele D’Orazio, Gianni Antonelli, Giorgia Curci, Luisa Campagnolo, Eugenio Martinelli   +12 more
wiley   +1 more source

Deep Learning Approaches for Classifying Crack States With Overload and Predicting Fatigue Parameters in a Titanium Alloy

Advanced Intelligent Systems, EarlyView.
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi, Suman Timilsina, Youn Woo Shin, Yong Nam Kwon, Kee‐Sun Sohn, Ji Sik Kim   +5 more
wiley   +1 more source

Neutrons and Production of Neutrons of Various Energy

, 2013
Neutrons are normally bound into an atomic nucleus, and do not exist free for long in nature. The unbound neutron has a half-life of just under 15 minutes.
Awel, Abdela Husen
core  

Predicting Crystal Structures and Ionic Conductivities in Li3YCl6−xBrx Halide Solid Electrolytes Using a Fine‐Tuned Machine Learning Interatomic Potential

Advanced Intelligent Systems, EarlyView.
This study refines the Crystal Hamiltonian Graph Network to predict energies, structures, and lithium‐ion dynamics in halide electrolytes. By generating ordered structural models and using an iterative fine‐tuning workflow, we achieve near‐ab initio accuracy for phase stability and ionic transport predictions.
Jonas Böhm, Aurélie Champagne
wiley   +1 more source

Neutron energy spectra from the thick target beryllium 9(d,n) boron 10 reaction.

, 1976
The energy spectrum of neutrons emitted when deuterons impinge on a thick beryllium target has been measured using an NE213 scintillation detector and the time-of-flight technique.
Whittlestone, S
core  

Overdamping of Neutron-Mirror-Neutron Transitions in Neutron Stars

The neutron to mirror neutron transitions in neutron stars would possibly result in significant effects. In this work we show that collisional decoherence entails exponential relaxation in lieu of oscillations. Decoherence is a great many orders of magnitude faster than the expected oscillations.
openaire   +2 more sources

High repetition-rate 0.5 Hz broadband neutron source driven by the Advanced Laser Light Source

International audienceNeutron beams are an essential tool to investigate material structure and perform nondestructive analysis, as they give unique access to element composition, thus ideally complementing density analysis allowed by standard x-rays ...
Lelievre, Ronan, Vallières, S., Fourmaux, S., Antici, P., Catrix, E., Allaoua, Amokrane, Ducasse, Quentin, Anthonippillai, V., Fuchs, J.   +8 more
core   +1 more source

Neutron Reflectivity [PDF]

Langmuir, 2009
openaire   +1 more source

Effects of spatial-temporal distribution of primary events [PDF]

, 1974
Kellerer, Albrecht M., Rossi, Harald H., Cooper, Raymond D.   +2 more
core   +1 more source

Performance Characterization of a Plastic Scintillator Sensor for Fast Neutron, Thermal Neutron, and Gamma Ray Discrimination. [PDF]

Sensors (Basel)
Liu Y, An F, Luo G, Wang W, Zhang X, Lu D, Yin X.   +6 more
europepmc   +1 more source