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Scientific machine learning, Structure preservation, scientific machine learning, Computational methods for problems pertaining to astronomy and astrophysics, Symplectic algorithms, Hamiltonian systems, structure preservation, symplectic algorithms, Numerical methods for Hamiltonian systems including symplectic integrators, neural networks, Neural networks, Artificial neural networks and deep learning
Scientific machine learning, Structure preservation, scientific machine learning, Computational methods for problems pertaining to astronomy and astrophysics, Symplectic algorithms, Hamiltonian systems, structure preservation, symplectic algorithms, Numerical methods for Hamiltonian systems including symplectic integrators, neural networks, Neural networks, Artificial neural networks and deep learning
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 3 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
