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Machine learning in the search for new fundamental physics
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Differentiable modelling to unify machine learning and physical models for geosciences
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Neural operators for accelerating scientific simulations and design
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Distilling data into code
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Automated discovery of algorithms from data
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Promising directions of machine learning for partial differential equations
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Rho exchange factors in the cardiovascular system
Identifying the impact of Human-AI co-creation on students' creativity development: a conceptual framework
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