提出了合成生物学、超材料与人工智能互相融合的思想,研究领域从合成生物学、超材料、人工智能拓展为生物超材料/超生物材料、智能超材料、智能合成生物学/生物人工智能,再到智能生物超材料,这种三向、三位一体的交叉融合为科学技术创新发展提供了新思路。
Synthetic biology is a burgeoning field that involves synthesis of novel biological systems not generally found in nature through re-designing and engineering biological parts. Metamaterials are a class of non-living materials that achieve exotic material properties from artificial unit cells by periodic/nonperiodic arrangement. Artificial intelligence and big data are known as the fourth paradigm of science after empirical, theoretical, and computational-driven approaches, meanwhile, the fourth industrial revolution after steam power, electrical energy, and information technology. Some new concepts are proposed by merging synthetic biology, metamaterials and artificial intelligence together in this paper. We will see the expansion of research areas from synthetic biology, metamaterials and artificial intelligence into bio-metamaterials/meta-biomaterials, intelligent metamaterials, intelligent synthetic biology/bio-AI, and even to intelligent bio-metamaterials. We believe that such interdisciplinary studies will provide new ideas for science and technology innovations and are expected to develop disruptive technologies in the fields of biomedicine, materials science and information technology.
[1] Rawls R L. ‘Synthetic biology’ makes its debut[C]. The Chemical Engineer News, 2000, 78(17):49.
[2] Benner S A, Sismour A M. Synthetic biology[J]. Nature Reviews Genetics, 2005(6):533-543.
[3] Walser R M. Metamaterials:What are they? What are the good for?[C]. Bulletin of the American Physical Society, 2000, 882.
[4] McEvoy M A, Correll N. Materials that couple sensing, actuation, computation, and communication[J]. Science, 2015(347):1261689.
[5] 赵国屏. 合成生物学——革命性的新兴交叉学科, "会聚"研究范式的典型[J]. 中国科学:生命科学, 2015, 45(10):905-908.
[6] 周济. 广义超材料:超材料与常规材料的融合[J]. 中国材料进展, 2018, 37(7):484-490.
[7] Turing A M. Computing machinery and intelligence[J]. Mind, New Series, 1950, 59(236):433-460.
[8] 蔡自兴, 徐光佑. 人工智能及其应用[M]. 北京:清华大学出版社, 2010.
[9] Hey T, Tansley S, Tolle K. The fourth paradigm:Data-intensive scientific discovery[M]. Washington:Microsoft Research, 2009.
[10] Agrawal A, Choudhary A. Perspective:Materials informatics and big data:Realization of the ‘fourth paradigm’ of science in materials science[J]. APL Material, 2016(4):53208.
[11] Lu H, Li Y, Chen M, et al. Brain intelligence:Go beyond artificial intelligence[J]. Mobile Networks & Applications, 2017, 23(2):368-375.
[12] Knight T F. Engineering novel life[J]. Molecular Systems Biology, 2005, 1(1):20050020.
[13] Bessa M A, Glowacki P, Houlder M. Bayesian machine learning in metamaterial design:Fragile becomes supercompressible[J]. Advanced Materials, 2019, 31(48):1904845.
[14] Jeewandara T. Smart metamaterials that sense andreprogram themselves[EB/OL]. (2019-11-11)[2020-01-05]. https://phys.org/news/2019-11-smart-metamaterials-reprogram.html.
[15] Way J C, Collins J J, Keasling J D, et al. Integrating biological redesign:Where synthetic biology came from and where it needs to go[J]. Cell, 2014, 157(1):151-161.