Representation learning lies at the core of modern artificial intelligence, enabling neural networks to uncover meaningful, ...
A new topology-based method predicts atomic charges in metal-organic frameworks from bond connectivity alone, making large-scale computational screening practical.
So, I’ve been thinking a lot about how we show off artificial intelligence these days, especially on magazine covers. It feels like every other magazine wants to slap some robot or glowing brain on ...
Cristani, C. and Tessera, D. (2026) A Foundational Protocol for Reproducible Visualization in Multivariate Quantum Data. Open Access Library Journal, 13, 1-13. doi: 10.4236/oalib.1114704 .
Traditional computational electromagnetics (CEM) methods—such as MoM, FEM, or FDTD—offer high fidelity, but struggle to scale ...
Abstract: Point cloud registration aims to provide estimated transformations to align point clouds, which plays a crucial role in pose estimation of various navigation systems, such as surgical ...
Abstract: Traditional approaches for bearing vibration analysis predominantly emphasize temporal feature extraction, often neglecting critical spatial correlations. This study proposes a novel fault ...
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