Physical Interpretation of Diffractive Optical Networks for High-Dimensional Vortex Mode Sorting. [PDF]
Wu R +7 more
europepmc +1 more source
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky +5 more
wiley +1 more source
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
Zein‐Based Adhesives: Sustainable Extraction and Application in Bioadhesive Technologies
Zein is extracted from corn gluten meal using a simple and scalable process with high yield (~90%). The resulting protein is applied in bioadhesives modified with Ca2+ and Fe3+ ions, exhibiting substrate‐dependent adhesion. The findings demonstrate competitive bonding performance and highlight the role of ionic interactions in tuning adhesion ...
Paula Bertolino Sanvezzo +3 more
wiley +1 more source
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
A hierarchical porous copper current collector is fabricated via three‐dimensional printing combined with pressureless sintering to stabilize lithium metal anodes. The interconnected architecture lowers local current density, guides uniform Li deposition within pores, and suppresses dendrite growth.
Alok Kumar Mishra, Mukul Shukla
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
Low‐Angle Grain Boundaries and Re‐Segregation in Single‐Crystalline Ni‐Base Superalloys
This work demonstrates that Re‐segregation at low‐angle grain boundaries (LAGBs) in Ni‐base superalloys is influenced by misorientation angle. Advanced microscopy and atom probe tomography reveal that higher misorientation angles increases Re‐segregation.
Alireza B. Parsa +9 more
wiley +1 more source

