Results 171 to 180 of about 211,994 (273)

An Adaptive Compression Method for Lightweight AI Models of Edge Nodes in Customized Production. [PDF]

Sensors (Basel)
Jiang C, Hou M, Wang H.
europepmc   +1 more source

Topological Photonic Devices and Circuits at Terahertz Frequencies

Laser &Photonics Reviews, EarlyView.
This review examines how 3D topological insulators and emerging topological photonic phases enable robust, low‐loss and defect‐immune terahertz devices. Fundamental properties, device implementations and topological transport mechanisms are surveyed, revealing new opportunities for reconfigurable, high‐performance THz components and scalable ...
Samane Kalhor, Srabani Kar, Ranjan Singh, Kaveh Delfanazari   +3 more
wiley   +1 more source

Real-time object detection for unmanned aerial vehicles based on vision transformer and edge computing. [PDF]

Sci Rep
Zhu W, Chen K.
europepmc   +1 more source

Bio‐Based Microfluidics With Snail Slime: A By‐Product of Agriculture Plays an Exciting Role in the Chemistry of Microfluidic Reaction Chambers

Macromolecular Rapid Communications, EarlyView.
Due to a broad spectrum of active ingredients, snail slime presents a variety of exciting physical properties and chemical reactivities. Especially in the role of the reduction‐ and stabilizing agent for the manufacturing of gold nanoparticles, its great potential is revealed. Utilising the proteins found in slime, Nanoparticle‐comprising hydrogels are
Andrea Koball, Jens Gaitzsch
wiley   +1 more source

Non-Uniform Entropy-Constrained <i>L</i>_∞ Quantization for Sparse and Irregular Sources. [PDF]

Entropy (Basel)
Alecu AA, Tahouri MA, Munteanu A, Păvăloiu B.   +3 more
europepmc   +1 more source

New Opportunities For the Integration of Artificial Intelligence With Materials Science: From Large Language Models to Embodied Large Models

Materials Genome Engineering Advances, EarlyView.
This review first introduces the diversified applications of large language models in materials discovery. Subsequently, the evolution of autonomous experimentation platforms empowered by large language models is analyzed. Finally, four key future research interests are proposed to develop embodied large models for driving autonomous experimentation ...
Zhen Song, Yishuai Cai, Yadong Yu, Pan Xiang, Minglong Li, Zhe Liu, Mengyan Dai   +6 more
wiley   +1 more source

Modeling macroscopic brain dynamics with brain-inspired computing architecture. [PDF]

Nat Commun
Zheng Z, Wei J, Xu Y, Li C, Lu T, Guo Q, Ji X, Guo H, Wang G, Deng L.   +9 more
europepmc   +1 more source

TopoMAS: Large Language Model Driven Topological Materials Multi‐Agent System

Materials Genome Engineering Advances, EarlyView.
TopoMAS is an interactive multi‐agent framework that revolutionizes topological materials discovery through human–AI collaborative intelligence. The system integrates natural language processing, knowledge retrieval from literature and databases, crystal structure generation, and automated first‐principles calculations within a unified workflow.
Baohua Zhang, Xin Li, Huangchao Xu, Zhong Jin, Quansheng Wu, Ce Li   +5 more
wiley   +1 more source

Balancing accuracy and efficiency: co-design of hybrid quantization and unified computing architecture for spiking neural networks. [PDF]

Front Neurosci
Li J, Xu M, Dong H, Lan B, Liu Y, Chen H, Zhuang Y, Xie Y, Chen L.   +8 more
europepmc   +1 more source

Electronic Correlation Effects in the Response of Graphene and MoS2 Monolayers to the Impact of Highly‐Charged Ions

physica status solidi (b), EarlyView.
The response of graphene and MoS2 monolayers to highly‐charged impinging ions is investigated using nonequilibrium Green functions theory. Electronic correlations are found to have a significantly stronger influence on the ultrafast ion‐induced electron dynamics in MoS2 than in graphene.
Giorgio Lovato, Michael Bonitz, Karsten Balzer, Fabio Caruso, Jan‐Philip Joost   +4 more
wiley   +1 more source