2D ferroelectrics materials enabling non‐volatile polarization memory, optical excitability, and neuromorphic processing within a unified material and provides a mechanistic analysis of polarization‐induced band modulation, including photon‐assisted domain reorientation, switching kinetics, and interfacial dipole coupling that governs resistive ...
Parthasarathi Pal +3 more
wiley +1 more source
Empowering an Acute Kidney Injury 3D Graphene-Based Sensor Using Extreme Learning Machine. [PDF]
Sittihakote N +4 more
europepmc +1 more source
A reconfigurable physical unclonable function is developed using CMOS‐integrated SOT‐MRAM chips, leveraging a dual‐pulse strategy and offering enhanced environmental robustness. A temperature‐compensation effect arising from the CMOS transistor and SOT‐MTJ is revealed and established as a key prerequisite for thermal resilience.
Min Wang +7 more
wiley +1 more source
Ensemble and Pre-Training Approach for Echo State Network and Extreme Learning Machine Models. [PDF]
Tang L, Wang J, Wang M, Zhao C.
europepmc +1 more source
This review offers a comprehensive comparison between perovskites and perovskite‐inspired materials (PIMs), focusing on their crystal structures, electronic properties, and chemical compositions. It evaluates the applicability of machine learning (ML) descriptors and models across both material classes.
Yangfan Zhang +6 more
wiley +1 more source
The Elephant Trunk Skin Inspires a Highly Sensitive and Deformable, Yet Robust, Armor Skin
The study presents the elephant trunk‐inspired armor skin with tactile sensing (ETATS). The ETATS architecture stretches and compresses while resisting puncture and tear, and it enables optical detection of pressure and lateral strain. Morphology‐based decoupling of strain and pressure paves the way to sensitive and deformable, yet robust, soft‐robotic
Jun Chang Yang +3 more
wiley +1 more source
Rapid estimation of soil water content based on hyperspectral reflectance combined with continuous wavelet transform, feature extraction, and extreme learning machine. [PDF]
Chen S +9 more
europepmc +1 more source
Load Recognition in Home Energy Management Systems Based on Neighborhood Components Analysis and Regularized Extreme Learning Machine. [PDF]
Cabral TW +4 more
europepmc +1 more source
Landslide risk assessment combining kernel extreme learning machine and information value modeling-A case study of Jiaxian Country of loess plateau, China. [PDF]
Wang Y, Kang L, Wang J.
europepmc +1 more source
Investigating a hybrid extreme learning machine coupled with Dingo Optimization Algorithm for modeling liquefaction triggering in sand-silt mixtures. [PDF]
Hameed MM +6 more
europepmc +1 more source

