Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh +8 more
wiley +1 more source
Nonlinear Measures Applied to Spontaneous Infant Movement Analysis: A Scoping Review. [PDF]
Ferreira J +5 more
europepmc +1 more source
A new data‐efficient framework combining DFT calculations, a neural network model, and automated graph analysis of catalytic reaction networks is proposed and applied to CO2 hydrogenation on transition metal nanoparticles. The analysis shows how efficient C2 oxygenate production requires a balance between CHx formation, C–C coupling, protonation, and ...
Mikhail V. Polynski, Sergey M. Kozlov
wiley +1 more source
Discrete Dynamics of Nonlinear Systems in Nature and Society
Jorge E. Macías-Díaz +3 more
doaj +1 more source
Quantum Cournot Triopoly Game with Heterogeneous Expectations: Dynamics and Chaos Control with Isoelastic Demand. [PDF]
Wei L, Wang S, Wang J.
europepmc +1 more source
Rod Origami (RodOri) springs harness snap‐through instabilities of pre‐stressed curved rods with geometrically programmable buckling behavior. Integrating RodOri springs with distinct geometries yields multistable metamaterials that undergo stepwise reconfiguration via sequential snapping, achieving wide‐range tunability of stiffness and resonance ...
Jeseung Lee +2 more
wiley +1 more source
Darboux transformation and quasideterminant solutions of a noncommutative semi-discrete coupled dispersionless integrable system. [PDF]
Riaz HWA, Yildirim Y, Aljaaidi T.
europepmc +1 more source
Physics‐Informed Neural Network‐Enabled Forward Prediction and Inverse Design of Ring Origami
This work presents a KRT‐PINN framework that integrates Kirchhoff rod theory with physics‐informed neural networks for the forward prediction and inverse design of ring origami consisting of closed‐loop rods. The framework predicts stable states of segmented rings with prescribed natural‐curvature profiles and determines the natural‐curvature profiles ...
Luyuan Ning +3 more
wiley +1 more source
Towards Fault-Tolerant AGV Task Scheduling in Flexible Manufacturing Systems Using a Tree-Based Max-Plus Predictive Approach. [PDF]
Zaborniak D +3 more
europepmc +1 more source
Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai +3 more
wiley +1 more source

