Generative artificial intelligence and its applications in materials science: Current situation and future perspectives
Shanghai University of Engineering Science · Shanghai Institute of Computing Technology · +3 more institutions
Abstract
Generative Artificial Intelligence (GAI) is attracting the increasing attention of materials community for its excellent capability of generating required contents. With the introduction of Prompt paradigm and reinforcement learning from human feedback (RLHF), GAI shifts from the task-specific to general pattern gradually, enabling to tackle multiple complicated tasks involved in resolving the structure-activity relationships. Here, we review the development status of GAI comprehensively and analyze pros and cons of various generative models in the view of methodology. The applications of task-specific generative models involving materials inverse design and data augmentation are also dissected. Taking ChatGPT…
Citation impact
- FWCI
- 23.69
- Percentile
- 100%
- References
- 127
Authors
10- YLYue Liu
Shanghai University of Engineering Science, Shanghai Institute of Computing Technology
- ZYZhengwei Yang
Shanghai University of Engineering Science
- ZYZhenyao Yu
Shanghai University of Engineering Science
- ZLZitu Liu
Shanghai University of Engineering Science
- DLDahui Liu
Shanghai University of Engineering Science
Topics & keywords
- Generative grammar
- Computer science
- Task (project management)
- Generative model
- Artificial intelligence
- Data science
- Management science
- Systems engineering