Graph neural networks for crystal property prediction typically require precise atomic positions and types, limiting their applicability for novel materials with unknown structures. To address this ...

Dear Editor, This letter investigates a low-complexity data-driven adaptive proportional-integral-derivative (APID) control scheme to address the output tracking problem of a class of nonlinear ...

At the heart of the most successful organizations that use and elevate data is one thing – a strong data culture.

HBR On Strategy / Episode 100 The Right Way to Make Data-Driven Decisions Listen | Podcast loading... Your data is only as good as how you interpret it.

For startup leaders, here are the essential components of building a robust business development framework centered on data analytics.

We show how to improve on teacher forcing using a recurrent method, multiple shooting (25), that can be tuned to trade off speed of training for prediction accuracy. We also demonstrate that given an ...

In this article, we propose a data-driven iterative learning control (ILC) framework for unknown nonlinear nonaffine repetitive discrete-time single-input–single-output systems by applying the dynamic ...