Để bảo đảm tính chặt chẽ của thực tế khoa học trong nội dung chính cùng cung cấp cho độc giả có hứng thú một chút tải liệu đọc mở rộng, tại phần « Tác phẩm liên quan » tôi sẽ đồng thời bắt đầu công bố các sách và tài liệu liên quan đến nội dung khoa học trong nội dung chính để cung cấp cho mọi người tham khảo.
1. Aguirre, J. (2022). Life finds a way. Nature Ecology & Evolution, 6(11), 1599-1600.
2. Anderson, P. W. (1972). More is different: broken symmetry and the nature of the hierarchical structure of science. Science, 177(4047), 393-396.
2. Mlodinow, L. (2009). The drunkard's walk: How randomness rules our lives. Vintage.
3. Bird, R. J. (2003). Chaos and life: Complexity and order in evolution and thought. Columbia University Press.
4. Cattivelli, F. , & Sayed, A. H. (2009, December). Self-organization in bird flight formations using diffusion adaptation. In 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)(pp. 49-52). IEEE.
5. Dimock, G. , & Selig, M. (2003, December). The aerodynamic benefits of self-organization in bird flocks. In 41st Aerospace Sciences Meeting and Exhibit (p. 608).
6. Ivancevic, V. G. , & Ivancevic, T. T. (2008). Complex nonlinearity: chaos, phase transitions, topology change and path integrals. Springer Science & Business Media.
7. 郝柏林. (1983). 分岔, 混沌, 奇怪吸引子, 湍流及其它 —— 关于确定论系统中的内在随机性. 物理学进展, 3(3), 335-416.
8. Nicolis, G. , & Prigogine, I. (1989). Exploring complexity an introduction.
9. Bak, P. , Tang, C. , & Wiesenfeld, K. (1988). Self-organized criticality. Physical Review A, 38(1), 364.
10. Langacker, P. (1981). Grand unified theories and proton decay. Physics Reports, 72(4), 185-385.
11. Shearer, S. M. (2010). Beautiful: the life of Hedy Lamarr. Macmillan.
12. Kolmogorov, A. N. (1941). Dissipation of energy in the locally isotropic turbulence. In Dokl. Akad. Nauk. SSSR (Vol. 32, pp. 19-21).
13. Chaikin, P. M. , Lubensky, T. C. , & Witten, T. A. (1995). Principles of condensed matter physics (Vol. 10). Cambridge: Cambridge university press.
14. Žutić, I. , Fabian, J. , & Sarma, S. D. (2004). Spintronics: Fundamentals and applications. Reviews of modern physics, 76(2), 323.
15. Braudel, F. (1958, December). Histoire et sciences sociales: la longue durée. In Annales. Histoire, Sciences Sociales (Vol. 13, No. 4, pp. 725-753). Cambridge University Press.
16. Bell III, J. F. , McSween Jr, H. Y. , Crisp, J. A. , Morris, R. V. , Murchie, S. L. , Bridges, N. T. , . . . & Soderblom, L. (2000). Mineralogic and compositional properties of Martian soil and dust: Results from Mars Pathfinder. Journal of Geophysical Research: Planets, 105(E1), 1721-1755.
17. Owen, T. , Biemann, K. , Rushneck, D. R. , Biller, J. E. , Howarth, D. W. , & Lafleur, A. L. (1977). The composition of the atmosphere at the surface of Mars. Journal of Geophysical research, 82(28), 4635-4639.
18. Sethna, J. P. , Dahmen, K. A. , & Myers, C. R. (2001). Crackling noise. Nature, 410(6825), 242-250.
19. Azevedo, A. , & Rezende, S. M. (1991). Controlling chaos in spin-wave instabilities. Physical review letters, 66(10), 1342.
20. Durin, G. , & Zapperi, S. (2004). The barkhausen effect. arXiv preprint cond-mat/0404512.
21. Colaiori, F. (2008). Exactly solvable model of avalanches dynamics for Barkhausen crackling noise. Advances in Physics, 57(4), 287-359.
22. Mandelbrot, B. B. , Evertsz, C. J. , & Gutzwiller, M. C. (2004). Fractals and chaos: the Mandelbrot set and beyond (Vol. 3). New York: Springer.
23. Branner, B. (1989). The mandelbrot set. In Proc. symp. appl. math (Vol. 39, pp. 75-105).
24. Grigorenko, I. , & Grigorenko, E. (2003). Chaotic dynamics of the fractional Lorenz system. Physical review letters, 91(3), 034101.
25. Guckenheimer, J. , & Williams, R. F. (1979). Structural stability of Lorenz attractors. Publications Mathématiques de l'IHÉS, 50, 59-72.
26. Beggs, J. M. , & Plenz, D. (2003). Neuronal avalanches in neocortical circuits. Journal of neuroscience, 23(35), 11167-11177.
27. Friedman, N. , Ito, S. , Brinkman, B. A. , Shimono, M. , DeVille, R. L. , Dahmen, K. A. , . . . & Butler, T. C. (2012). Universal critical dynamics in high resolution neuronal avalanche data. Physical review letters, 108(20), 208102.
28. Hobbs, J. P. , Smith, J. L. , & Beggs, J. M. (2010). Aberrant neuronal avalanches in cortical tissue removed from juvenile epilepsy patients. Journal of Clinical Neurophysiology, 27(6), 380-386.
29. Strogatz, S. H. (2018). Nonlinear dynamics and chaos with student solutions manual: With applications to physics, biology, chemistry, and engineering. CRC press.
30. Sornette, A. , & Sornette, D. (1989). Self-organized criticality and earthquakes. Europhysics Letters, 9(3), 197.
31. Romanczuk, P. , & Daniels, B. C. (2023). Phase Transitions and Criticality in the Collective Behavior of Animals—Self-Organization and Biological Function. In Order, Disorder and Criticality: Advanced Problems of Phase Transition Theory (pp. 179-208).
32. Steyer, A. , & Zimmermann, J. B. (2001). Self organised criticality in economic and social networks: The case of innovation diffusion. In Economics with Heterogeneous Interacting Agents (pp. 27-41). Springer Berlin Heidelberg.
33. Mardling, R. A. (2008). Resonance, chaos and stability: The three-body problem in astrophysics. The Cambridge N-Body Lectures, 59-96.
34. Zeng, X. , Pielke, R. A. , & Eykholt, R. (1993). Chaos theory and its applications to the atmosphere. Bulletin of the American Meteorological Society, 74(4), 631-644.
35. Manneville, P. (2010). Instabilities, chaos and turbulence (Vol. 1). World Scientific.
36. Uhlenbeck, G. E. , & Ornstein, L. S. (1930). On the theory of the Brownian motion. Physical review, 36(5), 823.
37. Fujisaka, H. , & Grossmann, S. (1982). Chaos-induced diffusion in nonlinear discrete dynamics. Zeitschrift für Physik B Condensed Matter, 48, 261-275.
38. 杜石然. (2012). 中国科学技术史稿. BEIJING BOOK CO. INC. .
39. Jahn, R. G. (1964). Electric propulsion. American Scientist, 52(2), 207-217.
40. Lev, D. , Myers, R. M. , Lemmer, K. M. , Kolbeck, J. , Koizumi, H. , & Polzin, K. (2019). The technological and commercial expansion of electric propulsion. Acta Astronautica, 159, 213-227.
41. Qiu, Z. Q. , & Bader, S. D. (2000). Surface magneto-optic Kerr effect. Review of Scientific Instruments, 71(3), 1243-1255.
42. Kelly, P. J. , & Arnell, R. D. (2000). Magnetron sputtering: a review of recent developments and applications. Vacuum, 56(3), 159-172.
43. Tsoi, M. , Fontana, R. E. , & Parkin, S. S. P. (2003). Magnetic domain wall motion triggered by an electric current. Applied physics letters, 83(13), 2617-2619.
44. Mandelbrot, B. B. , & Mandelbrot, B. B. (1982). The fractal geometry of nature (Vol. 1). New York: WH freeman.
45. Niven, J. E. (2016). Neuronal energy consumption: biophysics, efficiency and evolution. Current opinion in neurobiology, 41, 129-135.
46. Murphy, R. , & Woods, D. D. (2009). Beyond Asimov: The three laws of responsible robotics. IEEE intelligent systems, 24(4), 14-20.
47. Milgram, S. (1967). The small world problem. Psychology today, 2(1), 60-67.
48. Watts, D. J. , & Strogatz, S. H. (1998). Collective dynamics of'small-world' networks. nature, 393(6684), 440-442.
49. Newman, M. E. (2000). Models of the small world. Journal of Statistical Physics, 101, 819-841.
50. Place, U. T. (1956). Is consciousness a brain process? . British journal of psychology, 47(1), 44-50.
51. Dehaene, S. (2014). Consciousness and the brain: Deciphering how the brain codes our thoughts. Penguin.