AI energized hydrogel design, optimization and application in biomedicine
Shanghai University · Shanghai Jiao Tong University · +1 more institution
Abstract
Traditional hydrogel design and optimization methods usually rely on repeated experiments, which is time-consuming and expensive, resulting in a slow-moving of advanced hydrogel development. With the rapid development of artificial intelligence (AI) technology and increasing material data, AI-energized design and optimization of hydrogels for biomedical applications has emerged as a revolutionary breakthrough in materials science. This review begins by outlining the history of AI and the potential advantages of using AI in the design and optimization of hydrogels, such as prediction and optimization of properties, multi-attribute optimization, high-throughput screening, automated material discovery, optimizing…
Citation impact
- FWCI
- 26.28
- Percentile
- 100%
- References
- 194
Authors
7Topics & keywords
- Self-healing hydrogels
- Biomedicine
- Computer science
- Nanotechnology
- Biochemical engineering
- Materials science
- Engineering
- Bioinformatics