Results 101 to 110 of about 4,633 (262)
Q‐LEAP: Millisecond Hyperdimensional Optimization for Full‐Spectrum Optical Metamaterials
Q‐LEAP integrates physics‐informed residual machine learning with factorization‐machine‐encoded quantum annealing to design full‐spectrum optical metamaterials. It explores a 2108 design space and, in a single 2.56 ms annealing step, reaches 85.83% of the theoretical FoM limit, enabling selective 5‐8 µm emission with 3–5 and 8–14 µm suppression and ∼40×
Zikang Guo +3 more
wiley +1 more source
Reservoir Regulation has Brought a Classic River‐Dominated Delta Under Human Control
Damming of wild rivers has trapped vast quantities of sediment that would otherwise nourish deltas, causing severe sediment deficits and accelerating delta erosion worldwide.
Xiao Wu +5 more
doaj +1 more source
An MTJ‐based probabilistic processing‐in‐memory architecture unites nonvolatile storage, local entropy generation, and stochastic computation within each memory cell. Stored multi‐bit weights are converted directly into programmable stochastic bitstreams, enabling neural‐network inference, adaptive Ising optimization, and uncertainty‐aware Bayesian ...
Qiuyuan Wang +6 more
wiley +1 more source
Front‐electrode co‐optimization combining tungsten‐doped indium oxide (IWO) transparent electrode and simulation‐guided metal grid geometry boosts perovskite/silicon tandem solar cell performance. The low work function IWO improves interfacial carrier extraction, while tailored grid parameters balance optical shading and electrical resistive losses ...
Yuhui Ji +15 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
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
Composite‐based flexible electronics integrate biodegradable polymers, conductive networks, and multilayer device architectures to balance electrical performance, mechanical durability, and controlled degradation. Interfacial engineering and encapsulation regulate transport stability and operational lifetime, while programmed disassembly enables ...
Sayam, Sangho Cho
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
Performance and Environmental Impact of Flexible Temperature Sensors on Cellulose‐Based Substrate
Toward low‐environmental‐impact approach to thin‐film sensors fabrication using natural ingredient‐based triacetyl cellulose (TAC) substrate. Temperature sensors are fabricated and characterized based on thermal and mechanical performance. Substrate recovery is demonstrated by facile dissolution of a Mo‐based sensor in deionized water.
Dianne C. Corsino +14 more
wiley +1 more source
Atomic‐Scale Mechanisms of Anisotropic Thermal Decomposition in GeSn Alloys With Stepwise Pinning
Combining in situ TEM with DFT calculations, this work elucidates atomic‐scale anisotropic thermal decomposition in GeSn films, identifying laminar receding in defect‐free regions and stepwise pinning at stacking faults. Driven by crystallographic anisotropy and defect‐mediated energetic penalties, these findings establish a physical framework for ...
YiXin Wang +6 more
wiley +1 more source

