Results 111 to 120 of about 215,679 (256)

Multiband Switchable Microwave Absorbing Metamaterials Based on Reconfigurable Kirigami–Origami

Advanced Functional Materials, EarlyView.
A reconfigurable metamaterial featuring tunable microwave‐absorbing and load‐bearing performance is proposed. Stretchable kirigami and bistable origami configurations are integrated as actuating components, and the synergistic deformation mechanisms are systematically analyzed.
Weimin Ding, Zhong Zhang, Zeang Zhao, Shengyu Duan, Panding Wang, Xiaogang Guo, Hongshuai Lei, Daining Fang   +7 more
wiley   +1 more source

A Smart Bio‐Battery Facilitates Diabetic Bone Defect Repair Via Inducing Macrophage Reprogramming and Synergistically Modulating Bone Remodeling Coupling

Advanced Functional Materials, EarlyView.
This research presents a novel implantable bio‐battery, GF‐OsG, tailored for diabetic bone repair. GF‐OsG generates microcurrents in high‐glucose conditions to enhance vascularization, shift macrophages to the M2 phenotype, and regulate immune responses.
Nanning Lv, Haifu Sun, Wenxiang Tang, Yonggang Li, Zhonglai Qian, Lihui Hong, Chong Chen, Hongye Li, Jiaxiang Bai, Yusen Qiao, Mingming Liu   +10 more
wiley   +1 more source

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

Evaluation of Sparse Proximal Multi-Task Learning for Genome-Wide Prediction

IEEE Access
Multi-task learning (MTL) is a learning paradigm whose aim is to leverage information shared across related tasks to improve the generalization of models.
Yuhua Fan, Ilkka Launonen, Mikko J. Sillanpaa, Patrik Waldmann   +3 more
doaj   +1 more source

Synergistic Compatibilization of CsPbBr3 Perovskites and HfO2 Nanocrystals for Hybrid Sensitized Nanoscintillators

Advanced Functional Materials, EarlyView.
Lead halide perovskite nanocrystals are promising scintillators but suffer from reabsorption losses and limited compatibility with high‐Z additives. Hybridization of CsPbBr3 nanocrystals with PbBr2‐passivated HfO2 nanoparticle sensitizers, achieved during or after synthesis, produces stable composites with maintained optical quality, improved ...
Francesco Bruni, Saptarshi Chakraborty, Andrea Fratelli, Abdessamad El Adel, Jordi Llusar, Francesco Carulli, Matteo L. Zaffalon, Chenger Wang, Vojtech Zabloudil, Etiennette Auffray, Francesco Meinardi, Leonardo Poletti, Laura Lazzarini, Daniela Manno, Anna Galli, Francesca Rossi, Ivan Infante, Sergio Brovelli   +17 more
wiley   +1 more source

Multitask feature selection within structural datasets

Data-Centric Engineering
Population-based structural health monitoring (PBSHM) systems use data from multiple structures to make inferences of health states. An area of PBSHM that has recently been recognized for potential development is the use of multitask learning (MTL ...
Sarah Bee, Jack Poole, Keith Worden, Nikolaos Dervilis, Lawrence Bull   +4 more
doaj   +1 more source

Slowly Varying Regression Under Sparsity

Operations Research
Building Sparse and Temporally or Spatially Linked Regression Models The framework of slowly varying regression under sparsity addresses many problems in machine learning where the underlying model is sparse and varies slowly and sparsely. This includes problems with temporally or spatially varying structures.
Dimitris Bertsimas, Vassilis Digalakis, Michael Lingzhi Li, Omar Skali Lami   +3 more
openaire   +2 more sources

Interconnected Porous Hydrogels with Tunable Anisotropy Through Aqueous Emulsion Bioprinting

Advanced Functional Materials, EarlyView.
A 3D bioprintable microporous bioink is developed using an aqueous two‐phase system (ATPS) composed of extracellular matrix (ECM) mimetic biopolymers. The ATPS bioink enables the fabrication of interconnected porous architectures with up to 70% porosity, supporting long‐term cell viability and 3D cell alignment, enabling a simultaneous generation of ...
Hugo Edgar‐Vilar, Francisca P. Correia, Inês M. Freitas, Vítor M. Gaspar, João F. Mano   +4 more
wiley   +1 more source

Sparsity

, 2019
info:eu-repo/semantics ...
openaire   +1 more source

Exploring sparsity in graph transformers

Neural Networks
9 pages, 8 ...
Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu, Bo Du   +7 more
openaire   +3 more sources