Results 91 to 100 of about 561,026 (203)
Magnetoelectric nanoparticles (MENPs) enable fully wireless, minutely invasive neuromodulation, and potentially neural recording, by converting magnetic into electric and, conversely, electric into magnetic fields, respectively, at high spatiotemporal resolution.
Elric Zhang +14 more
wiley +1 more source
Harvesting energy from ambient vibrations in order to power autonomous sensors is a challenging issue. The aim of this work is to compare the power output from an innovative wideband fractal-inspired piezoelectric converter to that from a traditional ...
CASTAGNETTI, Davide
core +1 more source
Ferroelectric Devices for In‐Memory and In‐Sensor Computing
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang +5 more
wiley +1 more source
Multidimensional laser‐induced graphene (LIG) spanning from 0D to 3D architectures is comprehensively reviewed for multifunctional biomedical platforms, including biosensing, theranostics, and bioactive interface applications, which highlights its potentials for point‐of‐care diagnostics, wearable health monitoring, smart drug delivery, and tissue ...
Li Zhang +3 more
wiley +1 more source
Analog compressed sensing for multiband signals with non-modulated Slepian basis
Recently, the recovery performance of analog Compressed Sensing (CS) has been significantly improved by representing multiband signals with the modulated and merged Slepian basis (MM-Slepian dictionary), which avoids the frequency leakage effect of the ...
Xiaofeng Tao +11 more
core +1 more source
Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung +7 more
wiley +1 more source
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
Parabolic-Modulated Sliding Mode Voltage Control of Buck Converter
Conventional hysteresis-modulated sliding mode (SM) controller exhibits a varying switching frequency. Existing SM controllers for achieving constant-switching-frequency operation often have complicated structures and/or are less straightforward to ...
Tan, SC, Hui, SYR, QI, W, Li, S
core +1 more source
Real‐Time Ferroelectric Domain Wall Dynamics During Electric Poling and Depoling
Real‐time visualization of domain wall dynamics during alternating‐current poling, direct‐current poling, and electrical depoling in relaxor‐PT ferroelectric single crystals reveals distinct field‐dependent pathways and strong path dependence. Instant polarized light microscopy uncovers reversible domain wall nucleation, motion, and reconfiguration ...
Ziqi Wang +12 more
wiley +1 more source
How can humanity achieve lunar self‐sufficiency? We utilize Au topology networks to modify the abundant lunar ilmenite. This catalyst, under sunlight, can convert waste carbon dioxide into space fuel. This design leverages the moon's natural vacuum for green manufacturing, avoiding the waste of gold and serving as “artificial chloroplasts” to sustain ...
Yahang Wang +9 more
wiley +1 more source

