The melting point is one of the most important measurements of material properties, which informs potential applications of ...

AI models like artificial neural networks and language models help scientists solve a variety of problems, from predicting the 3D structure of proteins to designing novel antibiotics from scratch.

Signals relayed to motor neurons from the brain enable muscle movement, but these signals typically pass through spinal interneurons before they reach their destination.

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Incorporating structural features into random-graph calculations should bring theoretical models describing the properties and behaviour of complex networks closer to real-world systems.

Complex networks are networks that feature patterns of connection between their elements that are neither purely regular nor purely random. Most real-world networks, such as transportation ...