A new topology-based method predicts atomic charges in metal-organic frameworks from bond connectivity alone, making large-scale computational screening practical.
From sourdough to the far-right: How the tradwife trend is quietly radicalising women - IN FOCUS : Tradwife content on social ...
From high-tech gear to PFAS-free waxes and precision ice making, materials and chemistry advances define the Milan Cortina ...
Abstract: Spatiotemporal spectrum sensing of multiple primary users (PUs) sharing the same channels with unknown and irregular coverage presents significant challenges. The receive signal strength ...
Abstract: Reconstructing high-precision gene regulatory networks (GRNs) from single-cell RNA sequencing (scRNA-seq) data presents significant challenges, including high noise levels, data sparsity, ...
Like many of us, [Tim]’s seen online videos of circuit sculptures containing illuminated LED filaments. Unlike most of us, however, he went a step further by using graph theory to design glowing ...
International inflation linked securities are re-emerging as a compelling portfolio building block for US investors. Read ...
GDF-MIL (Graph-Driven Fusion Multiple Instance Learning) is a novel graph-driven multi-instance learning framework that adaptively balances topology modeling and semantic feature preservation through ...
This system combines the power of Graph Neural Networks with modern MLOps practices to create an end-to-end solution for knowledge graph reasoning. It supports multiple GNN architectures, ...