Results 171 to 180 of about 15,714,929 (285)
CoSP: Reconfigurable Metamaterial Inverse Design via Contrastive Pretrained Large Language Model
In this work, CoSP (contrastive multi‐state pretrain), an intelligent inverse design method for reconfigurable metamaterials based on a contrastive pretrained large language model, is proposed. Numerical experiments demonstrate that CoSP can design reconfigurable metamaterial structures for multi‐state, multi‐band optical responses, showing great ...
Shujie Yang +4 more
wiley +1 more source
A self‐powered vibration sensing platform integrates a quasi‐zero‐stiffness piezoelectric harvester, synchronized electric charge extraction, energy management, and wireless ADC acquisition. Ambient vibration is simultaneously harvested as energy and digitized as information, enabling sustained real‐time waveform monitoring without external power.
Yizhou Li +10 more
wiley +1 more source
Battery‐Inspired Electrochemical Synapses for Neuromorphic Applications
Battery‐ion‐inspired synaptic devices integrate diverse electrolyte systems (solid, ion‐gel, liquid) with transition metal oxides, two‐dimensional materials, and organic channels to regulate ion‐electron coupling. By tailoring ion transport and host interactions, these platforms enable controllable plasticity and energy‐efficient implementations for ...
Won Woo Lee +6 more
wiley +1 more source
Neuromorphic Devices and Computing for Sensing, Memory, and Control
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu +2 more
wiley +1 more source
Parameter calibration of finite element model of reinforced concrete arch bridge based on ISOA-RBF neural network. [PDF]
Peng W +4 more
europepmc +1 more source
From Sensing Mechanisms to System Co‐Design: Graphene‐Based Sensors and Readout Circuits
This review establishes a unified PS–EQ–RF framework linking graphene sensing mechanisms, native electrical outputs, and output‐specific readout circuits. Voltage‐, current‐, resistance‐, and capacitance‐type sensing systems are systematically classified to guide architecture selection, low‐noise design, system co‐design, and practical integration ...
Jinduo Zhang +5 more
wiley +1 more source
DyProL: Dynamic Ensemble Representation Learning for Protein–Nucleic Acid Binding Site Prediction
Protein function is represented as a dynamic conformational ensemble rather than a single static structure. A multi‐conformation geometric attention framework aligns, clusters, and learns representative states to capture residue‐ and ensemble‐level signals. Integrating structural dynamics improves interpretable protein‐NA binding prediction and reveals
Pengpai Li +3 more
wiley +1 more source
Intrinsically stretchable OECTs enable bifunctional operations via gate engineering. Polarizable Ag/AgCl gates provide volatile sensing, while Au gates enable non‐volatile memory. The SEBS‐blended channel maintains performance under strain, supporting reliable signal transduction.
Jiyong Yoon +8 more
wiley +1 more source
Digital twin-based multi-scale framework for seismic integrity assessment of deep underground caverns. [PDF]
Sharafat A, Tanoli WA.
europepmc +1 more source
Probabilistic Computing via Gate‐Tunable Random Telegraph Noise
Intrinsic random telegraph noise in metal–oxide–semiconductor field‐effect transistors is harnessed to create gate‐tunable probabilistic bits. By modulating carrier‐trapping dynamics, the device produces stochastic binary outputs with a continuous bias‐to‐probability transfer.
Gyungwon Yun +8 more
wiley +1 more source

