The natural visibility graph method (NVGM) illustrated by Lacasa et al. (2008) has recently been applied to shed light on various issues such as the concept of network complexity (Masoomy et al., 2023 ...
1 Department of Mathematics, Computer Science and Engineering Technology, Elizabeth City State University, Elizabeth City, NC, USA. 2 Department of Mathematics, Troy University, Troy, AL, USA. The ...
Abstract: Graph scattering networks (GSNs) are typically non-trainable graph convolutional networks that realize multi-layer representation learning via analytic graph wavelets with theoretical ...
Abstract: This study proposes a condensed matter property prediction framework based on Large Language Model (LLM), which combines material crystal structure encoding with physical prior knowledge to ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Graph Neural Networks (GNNs) have emerged as powerful tools for predicting material ...
The relations from which Young's modulus may be computed from mechanical flexural and longitudinal resonance frequencies have been established by an empirical method using two sets of steel bars. Both ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Article Views are the COUNTER-compliant sum of full text article downloads since ...
April 3 (PROTOCOL VILLAGE EXCLUSIVE): Legitimate, an on-chain project to keep physical assets in sync with their digital counterparts, has closed its $4.3 million seed round, led by Lemniscap, with ...
Mechanical structures combining rigid elements, like rods and bone, with flexible ones, like cables and membranes, are ubiquitous across a wide range of scales in natural and engineered systems. We ...
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