Gaussian primitives for deformable image registration.

Background And Purpose: Deformable image registration (DIR) plays a critical role in radiotherapy by compensating for anatomical deformations. However, existing iterative and data-driven methods are often hindered by computational inefficiency or limited generalization. In response, our objective was to develop a novel optimization-based DIR method that reduces computational overhead and preserves the robust generalization of iterative methods while enhancing interpretability.

Hierarchical Icephobic Surfaces with Enhanced Photothermal Performance for Sustainable Anti-Icing.

Icing remains a major challenge in industrial and environmental applications, leading to efficiency losses, safety hazards, and substantial economic impacts. Conventional deicing methods are energy-intensive and environmentally unsustainable, often requiring high energy inputs, extensive operational maintenance, or the use of harmful chemicals. These drawbacks underscore the need for advanced, scalable solutions that are both efficient and environmentally responsible.