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Reconfigurable Nonlinear Activation Using Low‐Loss Ge3Sb2Te15 for Photonic Neural Networks

Nanophotonics, Volume 15, Issue 14, 27 July 2026.
Composition‐engineered, low‐loss Ge3Sb2Te15 is identified from high‐throughput GST spreads and integrated with silicon microring resonators. Multistate optical programming produces tunable resonance responses and diverse fixed‐wavelength optical nonlinear activation functions, connecting phase‐change material discovery with programmable nanophotonic ...
Yida Dong +9 more
wiley +1 more source

Three-Dimensional Multi-Material Topology Optimization: Applying a New Mapping-Based Projection Function. [PDF]

Materials (Basel)
Simonetti HL +4 more
europepmc +1 more source

Deep Learning‐Based Phase‐Field Modelling of Brittle Fracture in Anisotropic Media

International Journal for Numerical Methods in Engineering, Volume 127, Issue 13, 15 July 2026.
ABSTRACT This work presents a variational physics‐informed deep learning framework for phase‐field modelling of brittle crack propagation in anisotropic media. Previous variational energy‐based neural network (NN) approaches have focused on second‐order, isotropic phase‐field fracture formulations and have relied on fully connected NNs.
Nojus Plungė +3 more
wiley +1 more source

Gain Curves, Reproductive Efficiency, and Sex Allocation. [PDF]

Ecol Evol
Burd M.
europepmc +1 more source

Unsteady MHD flow of tangent hyperbolic ternary hybrid nanofluid in a darcy-forchheimer porous medium over a permeable stretching sheet with variable thermal conductivity. [PDF]