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Learning the intrinsic dynamics of spatio-temporal processes through Latent Dynamics Networks
Nature
Predicting the evolution of systems with spatio-temporal dynamics in response to external stimuli is essential for scientific progress.
5 months ago
Automatically discovering ordinary differential equations from data with sparse regression | Communications Physics
Nature
Discovering nonlinear differential equations that describe system dynamics from empirical data is a fundamental challenge in contemporary science.
6 months ago
Adaptive physics-informed neural operator for coarse-grained non-equilibrium flows
Nature
This work proposes a new machine learning (ML)-based paradigm aiming to enhance the computational efficiency of non-equilibrium reacting flow simulations...
10 months ago
An explainable machine learning-based phenomapping strategy for adaptive predictive enrichment in randomized clinical trials | npj Digital Medicine
Nature
Randomized clinical trials (RCT) represent the cornerstone of evidence-based medicine but are resource-intensive. We propose and evaluate a machine learning...
8 months ago
Machine learning coarse-grained potentials of protein thermodynamics
Nature
A generalized understanding of protein dynamics is an unsolved scientific problem, the solution of which is critical to the interpretation of the...
10 months ago
Learning nonequilibrium statistical mechanics and dynamical phase transitions
Nature
Nonequilibrium statistical mechanics exhibit a variety of complex phenomena far from equilibrium. It inherits challenges of equilibrium,...
5 months ago
Phase retrieval in holographic data storage by expanded spectrum combined with dynamic sampling method
Nature
Phase retrieval in holographic data storage by expanded spectrum combined with dynamic sampling method is proposed, which serves to both reduce media...
8 months ago
Efficient parameter generation for constrained models using MCMC
Nature
Mathematical models of complex systems rely on parameter values to produce a desired behavior. As mathematical and computational models increase in...
10 months ago