Cross-scale modeling is essential for bridging molecular-scale innovations with industrial-scale applications, while AI-driven optimization enhances efficiency and sustainability.

multi-scale differentiable brain modeling workflow utilizing BrainPy, a unique differentiable brain simulator that combines accurate brain simulation with powerful gradient-based optimization.

Ant tracking can not only predict relatively small-scale fractures, but also quantitatively analyze the development density and orientation of fractures, providing a solid data basement for fracture ...

To address these challenges, this paper introduces LetsGo, a LiDAR-assisted Gaussian splatting framework for large-scale garage modeling and rendering. We develop a handheld scanner, Polar, equipped ...

To address this challenge, this paper proposes a multi-scale feature learning and fusion method for predicting key quality indicators. Specifically, we first generate multi-scale temporal ...

Modeling the watershed-scale effects of beaver activity will inform the potential for beaver to serve as a nature-based solution to reservoir sediment management. Our results will also further our ...