Exploring the Logic and Landscape of the Knowledge System: Multilevel Structures, Each Multiscaled with Complexity at the Mesoscale

Jinghai Li

Engineering ›› 2016, Vol. 2 ›› Issue (3) : 276-285.

PDF(2903 KB)
PDF(2903 KB)
Engineering ›› 2016, Vol. 2 ›› Issue (3) : 276-285. DOI: 10.1016/J.ENG.2016.03.001
Views & Comments
Views & Comments

Exploring the Logic and Landscape of the Knowledge System: Multilevel Structures, Each Multiscaled with Complexity at the Mesoscale

Author information +
History +

Cite this article

Download citation ▾
Jinghai Li. Exploring the Logic and Landscape of the Knowledge System: Multilevel Structures, Each Multiscaled with Complexity at the Mesoscale. Engineering, 2016, 2(3): 276‒285 https://doi.org/10.1016/J.ENG.2016.03.001

References

[1]
Hey T, Tansley S, Tolle K, editors. The fourth paradigm: data-intensive scientific discovery. Redmond: Microsoft Research; 2009.
[2]
United Nations Educational, Scientific and Cultural Organization, Division of Philosophy and Ethics. Transdisciplinarity: stimulating synergies, integrating knowledge. Paris: United Nations Educational, Scientific and Cultural Organization; 1998.
[3]
Li J. Mesoscales: the path to transdisciplinarity. Chem Eng J 2015;277:112–5.
CrossRef Google scholar
[4]
Nicolescu B, editor. Transdisciplinarity: theory and practice. New York: Hampton Press; 2008.
[5]
Liu Z. Modern disciplinary sciences. Hangzhou: Zhejiang Education Press; 1998. Chinese.
[6]
Li J, Ge W, Wang W, Yang N, Liu X, Wang L, . From multiscale modeling to meso-science: a chemical engineering perspective. Berlin: Springer; 2013.
CrossRef Google scholar
[7]
Li J, Ge W, Kwauk M. Meso-scale phenomena from compromise—a common challenge, not only for chemical engineering. 2009. arXiv:0912.5407.
[8]
Li J. Approaching virtual process engineering with exploring mesoscience. Chem Eng J 2015;278:541–55.
CrossRef Google scholar
[9]
Social science [Internet]. San Francisco: Wikimedia Foundation, <Date>Inc. [cited 2016 Jun 21]</Date>. Available from: https://en.wikipedia.org/wiki/social_science.
[10]
Li J, Huang W. Towards mesoscience: the principle of compromise in competition. Berlin: Springer; 2014.
CrossRef Google scholar
[11]
Ge W, Wang W, Yang N, Li J, Kwauk M, Chen F, . Meso-scale oriented simulation towards virtual process engineering (VPE)--The EMMS Paradigm. Chem Eng Sci 2011;66(19):4426–58.
CrossRef Google scholar
[12]
Li J, Zhang J, Ge W, Liu X. Multi-scale methodology for complex systems. Chem Eng Sci 2004;59(8–9):1687–700.
CrossRef Google scholar
[13]
Li J, Ge W, Wang W, Yang N, Wang J, Huang W. Focusing on mesoscales: from the energy-minimization multiscale model to mesoscience. Curr Opin Chem Eng 2016;13:10–23.
CrossRef Google scholar
[14]
Guo L, Li Z, Li J, Liu X, Lu B, Meng F, . Harnessing the power of virtual reality. Chem Eng Prog 2012;108(7):28–33.
[15]
Floudas CA, Niziolek AM, Onel O, Matthews LR. Multi-scale systems engineering for energy and the environment: challenges and opportunities. AIChE J 2016;62(3):602–23.
CrossRef Google scholar
[16]
Gage DH, Schiffer M, Kline SJ, Reynolds WC. The non-existence of a general thermokinetic variational principle. In: Donnelly RJ, Herman R, Prigogine I, editors Non-equilibrium thermodynamics variational techniques and stability. Chicago: University of Chicago press; 1966. p. 283–6.
[17]
Nicolis G, Prigogine I. Self-organization in nonequilibrium systems: from dissipative structures to order through fluctuations. New York: Wiley; 1977.
[18]
Martyushev LM. Entropy and entropy production: old misconceptions and new breakthroughs. Entropy (Basel) 2013;15(4):1152–70.
CrossRef Google scholar
[19]
Prigogine I. Introduction to thermodynamics of irreversible processes. 3rd ed. New York: John Wiley & Sons Ltd.; 1968.
[20]
Ziegler H. An introduction to thermomechanics. Amsterdam: North-Holland Publishing Company; 1983.
[21]
Li J, Zhang Z, Ge W, Sun Q, Yuan J. A simple variational criterion for turbulent flow in pipe. Chem Eng Sci 1999;54(8):1151–54.
CrossRef Google scholar
[22]
Wang L, Qiu X, Zhang L, Li J. Turbulence originating from the compromise-in-competition between viscosity and inertia. Chem Eng J 2016;300:83–97.
CrossRef Google scholar
[23]
Huang W, Li J. Compromise between minimization and maximization of entropy production in reversible Gray-Scott model. Chem Eng Sci 2016. In press. http://dx.doi.org/10.1016/j.ces.2016.08.022.
CrossRef Google scholar
[24]
NSFC initiates the major research plan on meso-science [Internet]. Beijing: Bureau of International Cooperation, NSFC; c2007<Date>[updated 2012 Sep 13; cited 2016 Jun 21]</Date>. Available from: http://www.nsfc.gov.cn/publish/portal1/tab158/info39251.htm.
[25]
Li J, Hu Y, Yuan Q. Mesoscience: exploring old problems from a new angle. Scientia Sinica (Chimica) 2014;44(3):277–81. Chinese.

Acknowledgements

The author would like to thank the colleagues at the EMMS Group for their long term cooperation and contribution previously on the EMMS model and now on mesoscience. Sincere thanks should be extended to Profs. Ying Hu, Xiaoye Cao, and Jiaofeng Pan for their reading the first draft in Chinese and giving suggestions, to Profs. Zhongxian Zhao, Zhizhen Wang, Jianzhong Xu, Yuntai Chen, and Wei Li for their time and discussion at a group discussion on the draft. Specially, I would like to thank Mr. Zhengyu Wang, Mr. Yan Zhuang, Ms. Kai Feng, and Drs. Wenlai Huang, Xiaowei Wang, and Jian Wang for their help in English and figures. Particularly, the author would thank Dr. Angela Welch for polishing English. The financial support of Natural Science Foundation of China (NSFC) (91334000) on the mesoscience program, entitled “Mechanism and Manipulation at Mesoscales of Multiphase Reaction Systems,” is highly appreciated.
Funding
 
AI Summary AI Mindmap
PDF(2903 KB)

Accesses

Citations

Detail

Sections
Recommended

/