Secure Virtual Network Provisioning over Key Programmable Optical Networks. [PDF]
Wang X, Jiang H, Li J, Liang Z.
europepmc +1 more source
Machine Learning Algorithms for Prediction of the Quality of Transmission in Optical Networks. [PDF]
Kozdrowski S +3 more
europepmc +1 more source
Supporting AI Readiness Through Digital Workflows in Materials Science
Digitalization drives innovation in materials science by connecting data silos and turning heterogeneous processes into reusable research pipelines. Across 13 MaterialDigital projects, digital workflows reveal complementary pathways toward AI‐ready materials research, founded on structured data, persistent artifacts, executable orchestration, and ...
Marian Bruns +67 more
wiley +1 more source
Economics of in-building optical fiber networks
Fiber in-building networks are cost-competitive with Cat-5E networks, when plastic optical fiber and duct sharing with electrical power cabling is applied.
Boom, van den, H.P.A. +3 more
core
Gaussian mixture model for enhancing the quality of transmission estimation in optical networks: a machine learning approach. [PDF]
Sahu S, Clement JC.
europepmc +1 more source
Quality of Service (QoS) improving schemes in optical networks. [PDF]
Hailu DH +3 more
europepmc +1 more source
To enhance through‐thickness conductivity without sacrificing impregnation, large spherical graphite particles are intentionally employed in a low‐viscosity resin. Unlike finer conductive fillers, these particles remain outside the fiber bundles and accumulate in resin‐rich interlaminar regions during molding.
Keito Hosoe +6 more
wiley +1 more source
Modeling and analysis of the coupling effect for large-scale multi-band optical networks. [PDF]
Jin S, Gu R, Gao X, Ji Y.
europepmc +1 more source
A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin +14 more
wiley +1 more source
Soft actor-critic algorithm and improved GNN model in secure access control of disaggregated optical networks. [PDF]
Zhao Z, Wang Y.
europepmc +1 more source

