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Found 5 papers, 3 papers with code
Classification of complex local environments in systems of particle shapes through shape-symmetry encoded data augmentation
Detecting and analyzing the local environment is crucial for investigating the dynamical processes of crystal nucleation and shape colloidal particle self-assembly.
Path sampling of recurrent neural networks by incorporating known physics
Often one wishes to supplement the experimentally observed dynamics with prior knowledge or intuition about the system.
General Mechanism of Evolution Shared by Proteins and Words
Complex systems, such as life and languages, are governed by principles of evolution.
Self-organizing Pattern in Multilayer Network for Words and Syllables
One of the ultimate goals for linguists is to find universal properties in human languages.
Learning Molecular Dynamics with Simple Language Model built upon Long Short-Term Memory Neural Network
We anticipate that our work represents a stepping stone in the understanding and use of RNNs for modeling and predicting dynamics of complex stochastic molecular systems.
Disordered Systems and Neural Networks Statistical Mechanics Chemical Physics Data Analysis, Statistics and Probability
