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Learning molecular dynamics with simple language model built upon long short-term memory neural network
Recurrent neural networks have led to breakthroughs in natural language processing and speech recognition. Here we show that recurrent networks, specifically long short-term memory networks can also capture the temporal evolution of chemical/biophysical trajectories. Our character-level language mod...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7547727/ https://www.ncbi.nlm.nih.gov/pubmed/33037228 http://dx.doi.org/10.1038/s41467-020-18959-8 |