A research team from the Ningbo Institute of Materials Technology and Engineering (NIMTE) of the Chinese Academy of Sciences ...

Development of an Automated High-Throughput Screening Platform for the Dynamic Phase Separation Analysis of Microemulsion Systems with AI Image Recognition ...

The development of transient dissipative nucleic-acid–based reaction circuits and constitutional dynamic networks attracts growing interest as a means of emulating native dynamic reaction circuits.

This operator is typically unknown, or the data are too noisy to derive its faithful representation. Here, we propose a data-driven approach to analyze the local predictability of dynamical systems.

Hi, Thanks for your great work with MAISI. The mask_generation_autoencoder has 8 input channels. What is the kind of data that is required as input? Would you have an example on how to use the mask ...

This article presents a novel data-driven approach to nonlinear system control using a behavioral systems framework. A dynamic latent variable autoencoder (DLVAE) is proposed to project the nonlinear ...

Identifying the state space representation of a dynamical system during usage enables a controller to adapt quickly in a changing environment. We propose a new method for identifying linear ...

Generic Deep Autoencoder for Time-Series This toolbox enables the simple implementation of different deep autoencoder. The primary focus is on multi-channel time-series analysis. Each autoencoder ...