Results 251 to 260 of about 277,866 (307)

Explicit minimisers for anisotropic Riesz energies. [PDF]

Calc Var Partial Differ Equ
Frank RL, Mateu J, Mora MG, Rondi L, Scardia L, Verdera J.   +5 more
europepmc   +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

A Fuzzy-Expert enhanced NSGA-II approach for sustainable agricultural systems. [PDF]

Sci Rep
Huang Z, Pu Y, Zhang Q, Wang Y, Yang J, Gu Y.   +5 more
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

Mathematical model of the ejection system working process during the rotation of the jet pump in the well

D. О. Panevnyk, Denys Panevnyk
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

Investigating the dynamics and uncertainties in portfolio optimization using the Fourier-Millen transform. [PDF]

PLoS One
Alkhudaydi MH, Alharthi AM.
europepmc   +1 more source

Multi-depot Electric Vehicle Routing Problem with Half-Open Routes and Rotations: A Mathematical Formulation

Hakan Erdeş, Saadettin Erhan Kesen
openalex   +2 more sources

Toward Capacitive In‐Memory‐Computing: A Device to Systems Level Perspective on the Future of Artificial Intelligence Hardware

Advanced Intelligent Discovery, EarlyView.
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj, Ella Paasio, Sayani Majumdar   +2 more
wiley   +1 more source

Van der Waals Magnetic Tunnel Junctions Based on Two-Dimensional 1T-VSe₂ and Rotationally Aligned h-BN Monolayer. [PDF]

Nanomaterials (Basel)
Zhang Q, Wang C, Wang W, Sun R, Zheng R, Ji Q, Yan H, Wang Z, He X, Wang H, Yang C, Yu J, Zhang L, Lei M, Wang Z.   +14 more
europepmc   +1 more source