Multiscale modelling is a concept that influences many fields, but its impact on material modelling over the past few decades has been particularly noteworthy. Multiscale modelling concerns the ...
Geometric deep learning has recently achieved great success in non-Euclidean domains, and learning on 3D structures of large biomolecules is emerging as a distinct research area. However, its efficacy ...
Mathematics is the foundation of countless sciences, allowing us to model things like planetary orbits, atomic motion, signal frequencies, protein folding, and more. Moreover, it’s a valuable testbed ...
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