Understanding the optimization landscape in deep neural networks is essential for evaluating model performance, especially in distributed environments like federated learning (FL). Recent studies ...

We investigate the cognitive impact of various layout features-symmetry, alignment, collinearity, axis alignment and orthogonality - on the recall of network diagrams (graphs). This provides insight ...

Chinachem Group has formed a strategic partnership with GMC Grand-Bay Intelligent Manufacturing and Technology Co., Ltd. for the development and application of the Modular Integrated Construction ...

Single-molecule spectroscopy of well-chosen dendritic multichromophoric systems allows investigation of fundamental photophysical processes such as energy or electron transfer in much greater detail ...

One essential ingredient in many machine learning (ML) based methods for atomistic modeling of materials and molecules is the use of locality. While allowing better system-size scaling, this ...