In recent years, we have witnessed a significant shift toward ever-more complex and ever-
larger-scale systems in the majority of the grand societal challenges tackled in applied …

Digitalization and decarbonization are projected to be two major trends in the coming
decades. As the already widespread process of digitalization continues to progress …

Abstract According to United Nations (UN) 2030 agenda, the transportation system needs to
be enhanced for the establishment of access to safe, affordable, accessible, and sustainable …

Graph neural networks (GNNs) have been extensively used in a wide variety of domains in
recent years. Owing to their power in analyzing graph-structured data, they have become …

Despite the simplicity and practicality of (deterministic) fundamental diagram models in
highway traffic flow theory, the wide scattering effect observed in empirical data remains …

With the development of automatic driving technology and the internet of vehicles,
platooning based on control of connected autonomous vehicles has become one of the most …

Forecasting all components in complex systems is an open and challenging task, possibly
due to high dimensionality and undesirable predictors. We bridge this gap by proposing a …

Herein, via introducing eight methacryl polyhedral oligomeric silsesquioxane (Ma-POSS),
we dramatically enhance the holographic performance of phenanthraquinone-doped poly …

Autonomous driving technologies have received notable attention in the past decades. In
autonomous driving systems, identifying a precise dynamical model for motion control is …

One of the main challenges in molecular dynamics is overcoming the 'timescale barrier': in
many realistic molecular systems, biologically important rare transitions occur on timescales …