Results 51 to 60 of about 48,284 (242)
A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys
Advanced Engineering Materials, EarlyView.High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin +14 more
wiley +1 more source
ISPRS International Journal of Geo-InformationAn Earth system spatial grid (ESSG) is an extension of a discrete global grid system (DGGS) in the radial direction. It is an important tool for organizing, representing, simulating, analyzing, sharing, and visualizing spatial data.
Yilin Ren, Mengyun Zhou, Aijun Zhong
doaj +1 more source
A Universal Generating Algorithm of the Polyhedral Discrete Grid Based on Unit Duplication
ISPRS International Journal of Geo-Information, 2019 Based on the analysis of the problems in the generation algorithm of discrete grid systems domestically and abroad, a new universal algorithm for the unit duplication of a polyhedral discrete grid is proposed, and its core is “simple unit ...
Li Meng +6 more
doaj +1 more source
Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning
Advanced Engineering Materials, EarlyView.Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose +7 more
wiley +1 more source
Accuracy Evaluation Method for Vector Data Based on Hexagonal Discrete Global Grid
ISPRS International Journal of Geo-InformationWith the continuous advancement of technology for obtaining geographic spatial data, the accumulated volume of such data has been increasing, thus imposing higher demands on the storage, organization, and management of such data.
Yue Ma +3 more
doaj +1 more source
Advances in Sustainable and Wearable Textile Based Soft Robotics
Advanced Functional Materials, EarlyView.This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas +6 more
wiley +1 more source
Interlevel information loss in hexagonal discrete global grid systems
Abstracts of the ICA, 2023 Anastasia Shurygina, Timofey Samsonov
openaire +2 more sources
Grid graph convolutional network with neighborhood learning for spatio-temporal prediction [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesThis paper addresses the dual challenges of low accuracy and slow speed in spatio-temporal prediction by proposing a Grid Graph Convolutional Network with Neighborhood Learning (GN-GCN).
B. Han, B. Han, T. Qu
doaj +1 more source
Coordinated Architectural and Chemical Reinforcement in the Crushing Mandible of a Soldier Termite
Advanced Functional Materials, EarlyView.The crushing mandible of a soldier termite withstands substantial biting loads despite lacking mineral. Its cuticle is partitioned: convex teeth pair hardness and zinc enrichment with aligned chitin fibers for contact durability, while stiffer concave regions between teeth carry bending loads.
Andrew Tran Nguyen +16 more
wiley +1 more source
Pressure‐Assisted Dimensional Transformation of 2D Hydrogenated Borophene into 0D Boron Quantum Dots
Advanced Functional Materials, EarlyView.Hydrogenated borophene (HB) is transformed into distinct boron nanostructures through a solvent‐free thermal process. Under flowing nitrogen, hydrogen escape promotes reconstruction into B2O3 nanoplatelets, whereas hydrogen‐induced pressure under sealed conditions facilitates fragmentation into boron quantum dots.
Ozden Gunes Yildiz +11 more
wiley +1 more source