Results 201 to 210 of about 33,388 (259)

Recomposable Layered Metasurfaces for Wavelength‐Multiplexed Optical Encryption via Modular Diffractive Deep Neural Networks

Advanced Functional Materials, EarlyView.
Modular diffractive deep neural network metasurfaces encode and reconstruct holograms across layer combinations and wavelengths, enabling secure, multifunctional operation. Each layer acts independently yet composes jointly, yielding up to m(2N −1) channels for m wavelengths and N layers.
Cherry Park, Youngsun Jeon, Seokho Lee, Yeseul Kim, Junsuk Rho   +4 more
wiley   +1 more source

PriorSAM-DBNet: A SAM-Prior-Enhanced Dual-Branch Network for Efficient Semantic Segmentation of High-Resolution Remote Sensing Images. [PDF]

Sensors (Basel)
Zhang Q, Wang Y, Li N, Jiang Q, He Y.
europepmc   +1 more source

Multistackable, Domino‐Overlapped CNT Scaffolds Homogeneously Hybridized with BTO‐P(VDF‐TrFE) for High‐Performance Piezoelectric Nanogenerators

Advanced Functional Materials, EarlyView.
A multilayer‐stackable carbon nanotuber (CNT) scaffold‐based piezoelectric nanogenerator (CPENG) with domino‐patterned CNT pillars presents high, stable output (12.3 V, size of 1 cm × 1 cm) over 2000 cycles, operates across a wide temperature range, and efficiently converts energy from real‐life stimuli through optimized CNT length, layer stacking, and
Kwangjun Kim, Jongwon Park, Jeong Min Park, Jong G. Ok   +3 more
wiley   +1 more source

Neurosense: Bridging Neural Dynamics and Mental Health Through Deep Learning for Brain Health Assessment via Reaction Time and p-Factor Prediction. [PDF]

Diagnostics (Basel)
Wang H, Xu S, Guo R, Han J, Huang MC.
europepmc   +1 more source

Block Copolymers: Emerging Building Blocks for Additive Manufacturing

Advanced Functional Materials, EarlyView.
This review addresses how block copolymer (BCP) physics and rheology have led to the widespread use of BCPs in advanced additive manufacturing techniques, with particular emphasis on the untapped potential of these nanostructured materials toward achieving multi‐scale architected materials with unique, programmable material properties.
Alice S. Fergerson, Hemish B. Thakkar, Jiaen Wu, Emily C. Davidson   +3 more
wiley   +1 more source

Resource-efficient fine-tuning of large vision-language models for multimodal perception in autonomous excavators. [PDF]

Front Artif Intell
Nguyen HV, Park H, Yoo N, Yang J.
europepmc   +1 more source

Membrane Wrapping for High Capacity and Rapidly Switchable Adhesives

Advanced Functional Materials, EarlyView.
A membrane‐wrapping mechanism enables high‐capacity, rapidly switchable adhesion by coupling suction, friction, and adhesion. Broadband performance is achieved in dry and underwater conditions, allowing fast, reversible manipulation of objects of diverse sizes and shapes, from delicate eggs and berries to flat, complex, or heavy objects. These outcomes
Yeunhee Kim, Camryn A. Mills, Michael D. Bartlett   +2 more
wiley   +1 more source

A lightweight dual branch masking network for environmental sound classification. [PDF]

Sci Rep
Chen G, Zhang B, Ding Z, Xiao K, Guan P, Xiao X, Wang X, Yi H, Hu H, Zhang W.   +9 more
europepmc   +1 more source

Predicting Atomic Charges in MOFs by Topological Charge Equilibration

Advanced Functional Materials, EarlyView.
An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi, Sumukh Shankar Sharadaprasad, Rochus Schmid   +2 more
wiley   +1 more source

Chat to chip: large language model based design of arbitrarily shaped metasurfaces. [PDF]

Nanophotonics
Zhang H, Kang L, Campbell SD, Werner DH.
europepmc   +1 more source