Results 151 to 160 of about 8,394,012 (247)
Two‐photon calcium imaging in behaving 5xFAD mice reveals early CA1 coding deficits before behavioral decline. Task‐related place cell activity and splitter cell trajectory coding are impaired, with reduced retrospective dominance and greater prospective weighting.
Yimei Li +8 more
wiley +1 more source
Ion‐Exchange‐Driven Ternary Organic Neuromorphic Devices with High Efficiency and Stability
Spontaneous ion exchange in a ternary polymer–ionic liquid blend disrupts the phase‐separated ionic domains of the binary film and creates a more homogeneous polymer–ion environment. This ionically reorganized matrix enables stable and efficient electrochemical doping, leading to ion‐gel‐gated organic electrochemical transistors with enhanced ...
Sungmin Lee +14 more
wiley +1 more source
Phase separation of SF3B1 acts as a key regulatory mechanism for dynamic alternative splicing throughout early mouse embryogenesis. Its absence triggers extensive splicing errors, which induce persistent DNA damage, defective cell cycle progression, and failed cell lineage commitment, and ultimately hinder the normal growth and development of ...
Kang Zhao +15 more
wiley +1 more source
This study investigates the effects of thermal deposition rate on next‐generation p‐type amorphous oxide semiconductor SeTe–TeOx films. Deposition rate governs the chemical states, microstructure, and electrical characteristics of the films, resulting in tunable device properties.
Seongmo Kang +8 more
wiley +1 more source
Robust and Compatible Ferroelectric Memories with Polycrystalline TiO2 Channel for 3D Integration
Robust and monolithic 3D compatible ferroelectric memories are realized using the polycrystalline TiO2 channel‐based FeFET. The review covers physical mechanisms of the TiO2 channel FeFET, quantitative benchmarking, and advanced planar/vertical architectures for monolithic 3D integration based on HfO2‐TiO2 gate stack, offering a roadmap for reliable ...
Xujin Song +10 more
wiley +1 more source
Physical reservoir computing (PRC) based on spin wave interference has demonstrated high computational performance, yet room for improvement remains. In this study, we fabricated this concept PRC with eight detectors and evaluated the impact of the number of detectors using a chaotic time series prediction task.
Sota Hikasa +6 more
wiley +1 more source
Ferroionic Electrostatic Landscapes Enabling Wireless Energy Harvesting, Storage, and Sensing
By integrating experiments and electrostatic field simulations, we show that long‐range wireless coupling in Li‐based ferroionics devices emerges from the cooperative interaction between ionic migration and electronic polarization. This coupling sustains self‐polarized electrostatic fields across centimeter‐scale air gaps without external bias or ...
M. Helena Braga +7 more
wiley +1 more source
Engineering a Correlated Narrow‐Gap Semiconductor: Effects of Ga Substitution in EuZn2P2
ABSTRACT The effect of Ga substitution on the electronic, magnetic, and low‐energy responses of the Zintl phase EuZn2P2${\rm EuZn}_2 {\rm P}_2$ is investigated by electrical transport, electron spin resonance (ESR), and terahertz time‐domain spectroscopy (THz‐TDS). Incorporating Ga into EuZn2P2${\rm EuZn}_2 {\rm P}_2$ (EuZn1.8Ga0.2P2${\rm EuZn}_{1.8} {\
Mateus Dutra +13 more
wiley +1 more source
Environmental Effects on RRAM Cells Based on 2D Halide Perovskite Materials
RRAM offers high speed, scalability, and low power, positioning it as a next‐generation non‐volatile memory. Two‐dimensional halide perovskites show promise due to tunable optoelectronic properties and flexible processing but suffer from environmental sensitivity. This review examines degradation from humidity, temperature, light, and strain, discusses
Mojtaba Joodaki +3 more
wiley +1 more source
Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali +3 more
wiley +1 more source

