Results 51 to 60 of about 3,871 (202)
A Reconfigurable Memristive Spiking Neuron Enabling Advanced Neuromorphic Computing
Pek Jun Tiw and co‐workers develop a reconfigurable memristive neuron that can exhibit four spiking behaviors with freely tunable spike train parameters. The neuron supports multiplexed spike encoding of multiple pieces of information. It also supports advanced neural network strategies, such as neural heterogeneity and dynamic mode switching ...
Pek Jun Tiw +6 more
wiley +1 more source
Twin‐Lever Multifunctional Meta‐Optics With High Longitudinal Tolerance
We introduce a single‐layer, CMOS‐compatible metasurface that allows for polarization‐programmable, achromatic broadband dual‐mode imaging with high longitudinal tolerance. The twin‐lever design combines bright‐field focusing and vortex‐based edge‐enhanced imaging while managing axial intensity distribution from 488 to 633 nm.
Isma Javed +10 more
wiley +1 more source
A graphene‐metal hybrid transmissive metasurface enables electrically tunable mid‐infrared transmission modulation through ionic gel top gating. By combining graphene with a metallic slit metasurface, high modulation efficiency and broadband operation are achieved simultaneously, demonstrating efficient electrical control of mid‐infrared transmission ...
Heonhak Ha +4 more
wiley +1 more source
High‐Temperature Magnetic Field Mapping Using a Single‐Crystal Diamond MEMS Resonator Array
A single‐crystal diamond MEMS resonator array enables magnetic‐field reconstruction with millisecond response, nanotesla level magnetic noise, and stable operation up to 573 K. Two‐ and three‐dimensional magnetic field mapping are demonstrated using ΔEeffect sensing, highlighting the potential of diamond MEMS technology for hightemperature magnetic ...
Zilong Zhang +4 more
wiley +1 more source
Smart Bioinks for 4D Bioprinting: Requirements, Design, and Applications
Smart bioinks empower 4D‐bioprinted constructs to dynamically adapt and remodel in response to stimuli, effectively biomimicking native tissues. Artificial Intelligence (AI) and Machine Learning (ML) play a guiding role in their rational design by optimizing relevant properties.
Shangsi Chen +11 more
wiley +1 more source
Real‐Time Monitoring of Mass and Mechanical Properties in Single Cells and Multicellular Spheroids
This study introduces photothermally actuated microcantilevers combined with optical microscopy to simultaneously measure morphology, mass, and mechanical properties of cellular systems in real‐time. The findings link cytoplasm‐dominated mechanical energy dissipation to the Q‐factor as a novel biophysical parameter.
Ilaria Incaviglia +8 more
wiley +1 more source
Researchers developed and applied a generative artificial intelligence (AI) model to optimize epsilon‐near‐zero thin film stacks for ultra‐broadband perfect absorption of light. The fabricated AI‐designed absorber, with a total thickness of only 160 nm, experimentally demonstrated an absorption bandwidth exceeding 1000 nm while maintaining greater than
David Dang +10 more
wiley +1 more source
This study presents a single‐pulse femtosecond laser strategy for three‐dimensional multi‐foci light‐field shaping and high‐throughput micro/nano manufacturing. The multi‐layer noise threshold filtering algorithm improves focal quality, while the multi‐layer over‐sampling algorithm increases focal density.
Shouyu Wu +9 more
wiley +1 more source
Inspired by the twin grain boundary discovered in natural gyroidal networks, a series of gyroid‐derived photonic crystals are constructed based on defect‐symmetry engineering. The new series of structures enables monotonic tuning of the width of the photonic bandgap (PBG) while the central frequency of the PBG maintains stable.
Shuo Huang +5 more
wiley +1 more source
Bandwidth-aware fast inverse lithography technology using Nesterov accelerated gradient
Inverse lithography technology (ILT) is a leading-edge method for improving the resolution and image fidelity of optical lithography systems in semiconductor manufacturing. However, the massive computational complexity of ILT presents the inherent runtime bottleneck, which hinders its application to the large-scale lithography layouts.
Wensheng Chen, Xu Ma, Shengen Zhang
openaire +1 more source

