华人学者发表Nature封面论文：AI从头设计水凝胶，在水中也能保持超强粘性

Core Viewpoint - The article discusses the development of super-adhesive hydrogels that can maintain adhesion in wet environments, inspired by natural adhesive proteins, and designed using AI models to enhance material properties and applications [4][15]. Group 1: Research Background - The research was published in the prestigious journal Nature, highlighting the innovative approach to designing hydrogels that can be used in various applications, including biomedical and industrial fields [3][4]. - The study focuses on the challenges of creating hydrogels that are both soft and adhesive, which traditionally required extensive trial and error, making the process costly and time-consuming [2][4]. Group 2: Methodology - The research team analyzed 24,707 natural adhesive protein sequences to identify characteristics that could be replicated in synthetic hydrogels [10]. - They designed 180 different hydrogels based on the identified features from natural proteins, utilizing machine learning to optimize the design process [10][13]. Group 3: Key Findings - One of the developed hydrogels, named R1-max, successfully adhered a rubber duck to a rock underwater, demonstrating its ability to withstand waves and tides [13]. - Another hydrogel, R2-max, was able to seal a 20 mm diameter hole in a water-filled pipe, maintaining its leak-proof capability for over five months [13][15]. Group 4: Implications - The super-adhesive hydrogels have the potential to revolutionize biomedical applications, such as prosthetic coatings and wearable biosensors, as well as industrial applications where stable adhesion in wet conditions is critical [15]. - The research signifies a shift in how AI is utilized in material science, moving from exploratory use to actively improving and assisting in material design and generation [15].