Results 161 to 170 of about 823,383 (284)
A New Family of Ternary Intermetallic Compounds with Dualistic Atomic Ordering – The ZIP Phases
The ZIP phases are ternary intermetallic compounds with dualistic atomic ordering, i.e., they exhibit one face‐centered cubic (fcc; space group Fd3¯$\bar 3$m) variant and one hexagonal (space group P63/mmc) variant. The ZIP phases in the Nb‐Si‐Ni system are the Nb3SiNi2 (fcc) and Ni3SiNb2 (hexagonal) ternary IMCs, crystal structure schematics of which ...
Matheus A. Tunes +24 more
wiley +1 more source
A fast iterative nearest point algorithm for support vector machine classifier design
S. Sathiya Keerthi +3 more
openalex +2 more sources
Groundwater quality evaluation based on optimized model of decision-tree-based support vector machine [PDF]
Haiyang Chen +2 more
openalex +1 more source
Néel Tensor Torque in Polycrystalline Antiferromagnets
This work introduces a Néel tensor torque based on a rank‐two symmetric tensor capturing spin correlations in a polycrystalline antiferromagnet. It shows the Néel tensor can be shaped and reshaped through the spin‐orbit torque (SOT) technique, enabling field‐free SOT switching with a specific polarity of the adjacent ferromagnet. This discovery opens a
Chao‐Yao Yang +4 more
wiley +1 more source
A sparse least squares support vector machine used for SOC estimation of Li-ion Batteries
Li Zhang +4 more
openalex +1 more source
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source
In this report we present an introductory overview of Support Vector Machines (SVMs). SVMs are supervised learning machines that can be analysed theoretically using concepts from computational learning theory while being able to achieve good performance when applied to real-world problems.
Schölkopf, B., Smola, A.
openaire +3 more sources
Herein, a systematic digital twin workflow tailored for generating high‐fidelity virtual representations of anisotropic composite microstructures and giga‐voxel meso‐structural models is presented, leveraging a harmonious integration of top–down image‐based modeling and bottom–up data‐driven voxel generation.
Siwon Yu +7 more
wiley +1 more source
Sculpting the Future of Bone: The Evolution of Absorbable Materials in Orthopedics
This review summarizes the current status of polymeric, ceramic, and metallic absorbable materials in orthopedic applications, and highlights several innovative strategies designed to enhance mechanical performance, control degradation, and promote bioactivity. We also discuss the progress and translational potential of absorbable materials in treating
Zhao Wang +13 more
wiley +1 more source

