The Blockchain Integrated Automatic Experiment Platform (BiaeP)
Yanheng Xu, Rulin Liu, Jiagen Li, Yao Xu, Xi Zhu
- 发表年份
- 2020
- 引用次数
- 8
摘要
Given that robots are being utilized extensively in chemical synthesis research, the potential applications of robots remain to be explored. Along with the remarkable progress of experimental science, circumstances have occurred in which publications were castigated because of irreproducibility, either because of rigorous experimental conditions or because of initial data forgery. Some credit-assignment issues and plagiarism cases also attracted intense attention throughout the community. As a possible solution to authenticity and originality problems, we herein propose a blockchain integrated automatic experiment platform, BiaeP, which attempts to provide solutions for those kinds of problems. As a result of the integration with blockchain, its data irreversibility secures the authenticity and the timestamp helps prove the originality. Two trial experiments are included as examples. We believe the architecture of BiaeP could be widely applicable for future development of scientific research in experimental subjects, such as chemistry, materials science, biology, and so forth.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991