Results 171 to 180 of about 42,493 (274)

Research on energy-saving algorithm of HVAC multi-agent system consensus based on event-triggered mechanism. [PDF]

PLoS One
Wu W, Shi S, Lin M, Gong H, Li J.
europepmc   +1 more source

Interpolation solves open questions in discrete integrable system (Feasibility of Theoretical Arguments of Mathematical Analysis on Computer)

, 2004
欣司 木村
openalex   +1 more source

Graph Attention Neural Networks for Interpretable and Generalizable Prediction of Janus III–Vi Van Der Waals Heterostructures

Advanced Intelligent Discovery, EarlyView.
A crystal graph neural network based on the attention mechanism is proposed in this work. The model dynamically weights features through the attention mechanism, enabling precise prediction of properties of material from structural features. Here, taking Janus III–VI van der Waals heterostructures as a representative case, the properties have been ...
Yudong Shi, Zhao Zheng, Yinggan Zhang, Zhou Cui, Peng Lin, Cuilian Wen, Baisheng Sa, Zhimei Sun   +7 more
wiley   +1 more source

Study on design and practice of PBL teaching model based on STEM education concept. [PDF]

Sci Rep
Liu Z.
europepmc   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

Machine learning and bifurcation analysis in a discrete predator-prey model with neem-induced mortality. [PDF]

Sci Rep
Mehmood T, Rafaqat M, Saleem S, Merga FE.   +3 more
europepmc   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Modelling the dynamically consistent numerical methods for COVID-19 disease with cost effectiveness strategies. [PDF]

Sci Rep
Li S, Abbas MA, Khan IU, Akgül A, Alkhathami AG, Hassani MK.   +5 more
europepmc   +1 more source

Automating Change of Representation for Proofs in Discrete Mathematics (Extended Version) [PDF]

, 2016
Daniel Raggi, Alan Bundy, Gudmund Grov, Alison Pease   +3 more
openalex   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source