Citation: Zhang Lan, Ma Suqian, Wang Hanbing, Liang Yunhong, Zhang Zhihui. Research Progress of Shape Memory Polymer Deformation Mode[J]. Acta Chimica Sinica, ;2020, 78(9): 865-876. doi: 10.6023/A20060219 shu

Research Progress of Shape Memory Polymer Deformation Mode

a.
The Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130025, China
b.
Jilin Province Product Quality Supervision and Inspection Institute, Changchun 130000, China

Corresponding author: Liang Yunhong, liangyunhong@jlu.edu.cn
Received Date: 9 June 2020
Available Online: 30 July 2020
Fund Project: the National Natural Science Foundation of China 51675223China Postdoctoral Science Foundation 2019M661204the National Natural Science Foundation of China 91848204the National Key Research and Development Program of China 2018YFA0703300Key Scientific and Technological Project of Jilin Province 20180201051GXthe National Key Research and Development Program of China 2018YFC2001300Project supported by the National Key Research and Development Program of China (2018YFB1105100, 2018YFA0703300 and 2018YFC2001300), the National Natural Science Foundation of China (51822504, 51675223 and 91848204), Key Scientific and Technological Project of Jilin Province (20180201051GX), Program for Jilin University Science and Technology Innovative Research Team (2017TD-04), Joint Fund of Ministry of Education for Equipment Pre-research (2018G944J00084) and China Postdoctoral Science Foundation (2019M661204).the National Key Research and Development Program of China 2018YFB1105100Program for Jilin University Science and Technology Innovative Research Team 2017TD-04Joint Fund of Ministry of Education for Equipment Pre-research 2018G944J00084the National Natural Science Foundation of China 51822504

Figures(10)

Shape memory polymers are the most widely studied smart deformable materials at present. Due to their low density, large deformation, high stress resistance, various driving methods, good biocompatibility, easier modification and processing, shape memory polymers have become a cutting-edge research in the field of smart materials. Under certain external stimulus (such as temperature, light, electric field, magnetic field, pH, specific ions, enzymes, etc.), shape memory polymers can change their shapes according to pre-designed way and quickly change from temporary shape to permanent shape. Shape memory polymers have shown great application potential in aerospace, biomedicine, bionic engineering, electronic devices, intelligent robots and other fields, which effectively overcome the bottleneck problems in the corresponding fields. In order to make the shape memory polymers more suitable for various fields, not only a simple deformation process from a temporary shape to a permanent shape is needed, the deformation mode should also be improved to adapt the actual situation in practical applications. In this paper, the deformation modes of shape memory polymers are divided into four categories, including the simple dual shape memory deformation mode, the multiple shape memory deformation mode with multiple temporary shapes, the self-folding deformation mode, and the reversible two-way shape memory deformation mode. Multiple shape memory polymers generally have multiple reversible switches or a wide range of temperature switches, which have greater freedom in practical applications. The self-folding structure can spontaneously fold/unfold to the desired shape under stimulation conditions without artificially giving shape, so it has great application prospects in the fields of space systems and self-assembly systems. The reversible shape memory polymer can reversibly convert between permanent and temporary shapes under stimulation conditions, which show great application prospects in the fields of sensors and drivers. The deformation modes are more diversified which can fulfill different requirements in various applications. The deformation mode is an important functional index of shape memory materials. Therefore, from the perspective of different deformation modes of shape memory polymers, this paper reviews the different deformation modes of shape memory polymers and the progress of their related applications, as well as the challenges faced by different deformation modes and their potential research directions.
- shape memory polymer,
- smart materials,
- deformation mode,
- stimulus response
1. [1]
  Song, J. J.; Srivastava, I.; Kowalski, J.; Naguib, H. E. Conference on Behavior and Mechanics of Multifunctional Materials and Composites, San Diego, 2014.
2. [2]
  Halary, J.; Cookson, P.; Stanford, J. L.; Lovell, P. A.; Young, R. J. Adv. Eng. Mater. 2004, 6, 729. doi: 10.1002/adem.200400061
3. [3]
  Rapoport, N. Prog. Polym. Sci. 2007, 32, 962. doi: 10.1016/j.progpolymsci.2007.05.009
4. [4]
  Schmaljohann, D. Adv. Drug. Deliver. Rev. 2006, 58, 1655. doi: 10.1016/j.addr.2006.09.020
5. [5]
  Ionov, L. J. Mater. Chem. 2010, 20, 3382. doi: 10.1039/b922718k
6. [6]
  Liu, F.; Urban, M. W. Prog. Polym. Sci. 2010, 35, 3. doi: 10.1016/j.progpolymsci.2009.10.002
7. [7]
  Stuart, M. A. C.; Huck, W. T.; Genzer, J.; Müller, M.; Ober, C.; Stamm, M.; Sukhorukov, G. B.; Szleifer, I.; Tsukruk, V. V.; Urban, M. Nat. Mater. 2010, 9, 101. doi: 10.1038/nmat2614
8. [8]
  Roy, D.; Cambre, J. N.; Sumerlin, B. S. Prog. Polym. Sci. 2010, 35, 278. doi: 10.1016/j.progpolymsci.2009.10.008
9. [9]
  Meng, H.; Hu, J. L. J. Intel. Mat. Syst. Str. 2010, 21, 859. doi: 10.1177/1045389X10369718
10. [10]
  Chen, X.; Chen, Y.; Liu, Y. Chin. J. Chem. 2018, 36, 526. doi: 10.1002/cjoc.201800063
11. [11]
  Zhang, D.; Liu, J.; Chen, B.; Wang, J.; Jiang, L. Acta Chim. Sinica 2018, 76, 425(in Chinese).
12. [12]
  Zhang, L.; Qian, M.; Wang, J. Acta Chim. Sinica 2017, 75, 770(in Chinese).
13. [13]
  Guan, X.; Wang, L.; Li, Z.; Liu, M.; Wang, K.; Lin, B.; Yang, X.; Lai, S.; Lei, Z. Acta Chim. Sinica 2019, 77, 1036(in Chinese).
14. [14]
  Bai, C.; Huang, Q.; Xiong, X. Chin. J. Chem. 2020, 38, 494. doi: 10.1002/cjoc.201900458
15. [15]
  Murphy, E. B.; Wudl, F. Prog. Polym. Sci. 2010, 35, 223. doi: 10.1016/j.progpolymsci.2009.10.006
16. [16]
  Zhang, W.; Zhang, F. H.; Lan, X.; Leng, J. S.; Wu, A. S.; Bryson, T. M.; Cotton, C.; Gu, B. H.; Sun, B. Z.; Chou, T. W. Compos. Sci. Technol. 2018, 160, 224. doi: 10.1016/j.compscitech.2018.03.037
17. [17]
  Liu, Y. J.; Du, H. Y.; Liu, L. W.; Leng, J. S. Smart Mater. Struct. 2014, 23, 023001. doi: 10.1088/0964-1726/23/2/023001
18. [18]
  Hager, M. D.; Bode, S.; Weber, C.; Schubert, U. S. Prog. Polym. Sci. 2015, 49, 3.
19. [19]
  Li, J. J.; Xie, T. Macromolecules 2011, 44, 175. doi: 10.1021/ma102279y
20. [20]
  Small, W.; Wilson, T. S.; Benett, W. J.; Loge, J. M.; Maitland, D. J. Opt. Express. 2005, 13, 8204. doi: 10.1364/OPEX.13.008204
21. [21]
  Gunes, I. S.; Jimenez, G. A.; Jana, S. C. Carbon 2009, 47, 981. doi: 10.1016/j.carbon.2008.11.053
22. [22]
  Lu, H. B.; Liu, Y. J.; Gou, J. H.; Leng, J. S.; Du, S. Y. Int. J. Smart Nano Mater. 2010, 1, 2. doi: 10.1080/19475411003612749
23. [23]
  Yakacki, C. M.; Satarkar, N. S.; Gall, K.; Likos, R.; Hilt, J. Z. J. Appl. Polym. Sci. 2009, 112, 3166. doi: 10.1002/app.29845
24. [24]
  Huang, W. M.; Yang, B.; An, L.; Li, C.; Chan, Y. S. Appl. Phys. Lett. 2005, 86, 114105. doi: 10.1063/1.1880448
25. [25]
  Chen, S. J.; Hu, J. L.; Zhuo, H. T. J. Mater. Sci. 2011, 46, 6581. doi: 10.1007/s10853-011-5606-5
26. [26]
  Wei, K.; Zhu, G. M.; Tang, Y. S.; Tian, G. M.; Xie, J. Q. Smart Mater. Struct. 2012, 21, 055022. doi: 10.1088/0964-1726/21/5/055022
27. [27]
  Xie, T.; Xiao, X.; Li, J.; Wang, R. Adv. Mater. 2010, 22, 4390. doi: 10.1002/adma.201002825
28. [28]
  Bodaghi, M.; Damanpack, A. R.; Liao, W. H. Mater. Des. 2017, 135, 26. doi: 10.1016/j.matdes.2017.08.069
29. [29]
  Hu, J. L.; Mondal, S. Polym. Int. 2005, 54, 764. doi: 10.1002/pi.1753
30. [30]
  Hu, J. L.; Yang, Z.; Yeung, L.; Ji, F.; Liu, Y. Polym. Int. 2005, 54, 854. doi: 10.1002/pi.1785
31. [31]
  Liu, C.; Qin, H.; Mather, P. T. J. Mater. Chem. 2007, 17, 1543. doi: 10.1039/b615954k
32. [32]
  Beloshenko, V. A.; Varyukhin, V. N.; Voznyak, Y. V. Russ. Chem. Rev. 2005, 74, 265. doi: 10.1070/RC2005v074n03ABEH000876
33. [33]
  Zhang, L.; Lin, Z; Zhou, Q.; Ma, S.; Liang, Y.; Zhang, Z. Front. Mater. Sci. 2020, 14, 177. doi: 10.1007/s11706-020-0502-z
34. [34]
  Zhang, S.; Yu, Z.; Govender, T.; Luo, H.; Li, B. Polym. 2008, 49, 3205. doi: 10.1016/j.polymer.2008.05.030
35. [35]
  Yu, Z.; Liu, Y.; Fan, M.; Meng, X.; Li, B.; Zhang, S. J. Polym. Sci. Pol. Phys. 2010, 48, 951. doi: 10.1002/polb.21982
36. [36]
  Voit, W.; Ware, T.; Dasari, R. R.; Smith, P.; Danz, L.; Simon, D.; Barlow, S.; Marder, S. R.; Gall, K. Adv. Funct. Mater. 2010, 20, 162. doi: 10.1002/adfm.200901409
37. [37]
  Nguyen, T. D.; Yakacki, C. M.; Brahmbhatt, P. D.; Chambers, M. L. Adv. Mater. 2010, 22, 3411. doi: 10.1002/adma.200904119
38. [38]
  Ahn, S. K.; Deshmukh, P.; Kasi, R. M. Macromolecules 2010, 43, 7330. doi: 10.1021/ma101145r
39. [39]
  Zhang, J.; Niu, Y.; Huang, C.; Xiao, L.; Chen, Z.; Yang, K.; Wang, Y. Polym. Chem-UK. 2012, 3, 1390. doi: 10.1039/c2py20028g
40. [40]
  Capadona, J. R.; Shanmuganathan, K.; Tyler, D. J.; Rowan, S. J.; Weder, C. Science 2008, 319, 1370. doi: 10.1126/science.1153307
41. [41]
  Bao, M.; Lou, X.; Zhou, Q.; Dong, W.; Yuan, H.; Zhang, Y. ACS Appl. Mater. Interfaces 2014, 6, 2611. doi: 10.1021/am405101k
42. [42]
  Ren, L.; Li, B.; Song, Z.; Liu, Q.; Ren, L.; Zhou, X. J. Mater. Sci. 2019, 54, 6542. doi: 10.1007/s10853-019-03344-8
43. [43]
  Behl, M.; Razzaq, M. Y.; Lendlein, A. Adv. Mater. 2010, 22, 3388. doi: 10.1002/adma.200904447
44. [44]
  Leonardi, A. B.; Fasce, L. A.; Zucchi, I. A.; Hoppe, C. E.; Soule, E. R.; Perez, C. J.; Williams, R. J. J. Eur. Polym. J. 2011, 47, 362. doi: 10.1016/j.eurpolymj.2010.12.009
45. [45]
  Yu, K.; Ritchie, A.; Mao, Y.; Dunn, M. L.; Qi, H. J. Procedia. Iutam. 2015, 12, 193. doi: 10.1016/j.piutam.2014.12.021
46. [46]
  Invernizzi, M.; Turri, S.; Levi, M.; Suriano, R. Eur. Polym. J. 2018, 101, 169. doi: 10.1016/j.eurpolymj.2018.02.023
47. [47]
  Mu, T.; Liu, L.; Lan, X.; Liu, Y.; Leng, J. Compos. Sci. Technol. 2018, 160, 169. doi: 10.1016/j.compscitech.2018.03.018
48. [48]
  Leng, J.; Liu, L.; Lv, H.; Liu, V. JEC Compos. 2012, 49, 56.
49. [49]
  Lendlein, A.; Behl, M.; Hiebl, B.; Wischke, C. Expet Rev. Med. Dev. 2010, 7, 357. doi: 10.1586/erd.10.8
50. [50]
  Wache, H. M.; Tartakowska, D. J.; Hentrich, A.; Wagner, M. H. J. Mater. Sci. Mater. Med. 2003, 14, 109.
51. [51]
  Miao, S.; Castro, N.; Nowicki, M.; Xia, L.; Cui, H. T.; Zhou, X.; Zhu, W.; Lee, S. J.; Sarkar, K.; Vozzi, G.; Tabata, Y.; Fisher, J.; Zhang, L. G. Mater. Today 2017, 20, 577. doi: 10.1016/j.mattod.2017.06.005
52. [52]
  Lee, J. H.; Hinchet, R.; Kim, S. K.; Kim, S.; Kim, S. W. Energy Environ. Sci. 2015, 8, 3605. doi: 10.1039/C5EE02711J
53. [53]
  Ge, Q.; Qi, H. J.; Dunn, M. L. Appl. Phys. Lett. 2013, 103, 1.
54. [54]
  Felton, S.; Tolley, M.; Demaine, E.; Rus, D.; Wood, R. Science 2014, 345, 644. doi: 10.1126/science.1252610
55. [55]
  Zarek, M.; Layani, M.; Cooperstein, I.; Sachyani, E.; Cohn, D.; Magdassi, S. Adv. Mater. 2015, 28, 4449.
56. [56]
  Meng, H.; Li, G. Polymer 2013, 54, 2199. doi: 10.1016/j.polymer.2013.02.023
57. [57]
  Liu, T.; Zhou, T.; Yao, Y.; Zhang, F.; Liu, L.; Liu, Y.; Leng, J. Compos. Part A-Appl. Sci. Manufac. 2017, 100, 20. doi: 10.1016/j.compositesa.2017.04.022
58. [58]
  Hardy, J. G.; Palma, M.; Wind, S. J.; Biggs, M. J. Adv. Mater. 2016, 28, 5717. doi: 10.1002/adma.201505417
59. [59]
  Yang, Y.; Chen, Y.; Wei, Y.; Li, Y. Int. J. Adv. Manuf. Technol. 2016, 84, 2079. doi: 10.1007/s00170-015-7843-2
60. [60]
  Ge, Q.; Sakhaei, A. H.; Lee, H.; Dunn, C. K.; Fang, N. X.; Dunn, M. L. Sci. Rep. 2016, 6, 31110. doi: 10.1038/srep31110
61. [61]
  Zarek, M.; Layani, M.; Cooperstein, I.; Sachyani, E.; Cohn, D.; Magdassi, S. Adv. Mater. 2016, 28, 4166. doi: 10.1002/adma.201670148
62. [62]
  Senatov, F. S.; Niaza, K. V.; Zadorozhnyy, M. Y.; Maksimkin, A. V.; Kaloshkin, S. D.; Estrin, Y. Z. J. Mech. Behav. Biomed. Mater. 2016, 57, 139. doi: 10.1016/j.jmbbm.2015.11.036
63. [63]
  Miao, S.; Zhu, W.; Castro, N. J.; Leng, J.; Zhang, L. G. Tissue Eng. Part C-Methods 2016, 22, 952. doi: 10.1089/ten.tec.2015.0542
64. [64]
  Wei, H.; Zhang, Q.; Yao, Y.; Liu, L.; Liu, Y.; Leng, J. ACS Appl. Mater. Interfaces 2017, 9, 876. doi: 10.1021/acsami.6b12824
65. [65]
  Zarek, M.; Mansour, N.; Shapira, S.; Cohn, D. Macromol. Rapid Commun. 2017, 38, 1600628. doi: 10.1002/marc.201600628
66. [66]
  Li, G.; King, A.; Xu, T.; Huang, X. J. Mater. Civil. Eng. 2013, 25, 393. doi: 10.1061/(ASCE)MT.1943-5533.0000572
67. [67]
  Ahn, S. K.; Kasi, R. M. Adv. Funct. Mater. 2011, 21, 4543. doi: 10.1002/adfm.201101369
68. [68]
  Luo, X.; Mather, P. T. Adv. Funct. Mater. 2010, 20, 2649. doi: 10.1002/adfm.201000052
69. [69]
  Wu, J.; Yuan, C.; Ding, Z.; Isakov, M.; Mao, Y.; Wang, T.; Dunn, M. L.; Qi, H. J. Sci. Rep-UK. 2016, 6, 24224. doi: 10.1038/srep24224
70. [70]
  Xie, T.; Xiao, X.; Cheng, Y. Macromol. Rapid Commun. 2009, 30, 1823. doi: 10.1002/marc.200900409
71. [71]
  Cuevas, J. M.; Rubio, R.; German, L.; Laza, J. M.; Vilas, J. L.; Rodriguez, M.; Leon, L. M. Soft Matter 2012, 8, 4928. doi: 10.1039/c2sm07481h
72. [72]
  Bellin, I.; Kelch, S.; Lendlein, A. J. Mater. Chem. 2007, 17, 2885. doi: 10.1039/b702524f
73. [73]
  Kolesov, I. S.; Radusch, H. J. Express. Polym. Lett. 2008, 2, 461. doi: 10.3144/expresspolymlett.2008.56
74. [74]
  Li, J.; Liu, T.; Xia, S.; Pan, Y.; Zheng, Z.; Ding, X.; Peng, Y. J. Mater. Chem. 2011, 21, 12213. doi: 10.1039/c1jm12496j
75. [75]
  Kumar, U. N.; Kratz, K.; Wagermaier, W.; Behl, M.; Lendlein, A. J. Mater. Chem. 2010, 20, 3404. doi: 10.1039/b923000a
76. [76]
  Peraza-Hernandez, E. A.; Hartl, D. J.; Malak, R. J.; Lagoudas, D. C. Smart Mater. Struct. 2014, 23, 094001. doi: 10.1088/0964-1726/23/9/094001
77. [77]
  Zhang, Y.; Zhang, F.; Yan, Z.; Ma, Q.; Li, X.; Huang, Y. Nat. Rev. Mater. 2017, 2, 17029. doi: 10.1038/natrevmats.2017.29
78. [78]
  van Manen, T.; Janbaz, S.; Zadpoor, A. A. Mater. Horiz. 2017, 4, 1064. doi: 10.1039/C7MH00269F
79. [79]
  Zhang, Q.; Yan, D.; Zhang, K.; Hu, G. Sci. Rep. 2015, 5, 8936. doi: 10.1038/srep08936
80. [80]
  Liu, Y.; Boyles, J. K.; Genzer, J.; Dickey, M. D. Soft Matter 2012, 8, 1764. doi: 10.1039/C1SM06564E
81. [81]
  Felton, S. M.; Becker, K. P.; Aukes, D. M.; Wood, R. J. J. Micromech. Microeng. 2015, 25, 085004. doi: 10.1088/0960-1317/25/8/085004
82. [82]
  Mao, Y.; Yu, K.; Isakov, M. S.; Wu, J.; Qi, H. J. Sci. Rep. 2015, 5, 13616. doi: 10.1038/srep13616
83. [83]
  Tolley, M. T.; Felton, S. M.; Miyashita, S.; Aukes, D.; Rus, D.; Wood, R. J. Smart Mater. Struct. 2014, 23, 094006. doi: 10.1088/0964-1726/23/9/094006
84. [84]
  Felton, S. M.; Tolley, M. T.; Shin, B.; Onal, C. D.; Demaine, E. D.; Rus, D.; Wood, R. J. Soft Matter 2013, 9, 7699.
85. [85]
  Zakharchenko, S.; Puretskiy, N.; Stoychev, G.; Stamm, M.; Ionov, L. Soft Matter 2010, 6, 2633. doi: 10.1039/c0sm00088d
86. [86]
  Stoychev, G.; Puretskiy, N.; Ionov, L. Soft Matter 2011, 7, 3277. doi: 10.1039/c1sm05109a
87. [87]
  Zhou, J.; Sheiko, S. S. J. Polym. Sci. Phys. 2016, 54, 1365. doi: 10.1002/polb.24014
88. [88]
  Behl, M.; Kratz, K.; Noechel, U.; Sauter, T.; Lendlein, A. Proc. Natl. Acad. Sci. U. S. A. 2013, 110, 12555. doi: 10.1073/pnas.1301895110
89. [89]
  Westbrook, K. K.; Mather, P. T.; Parakh, V.; Dunn, M. L.; Ge, Q.; Lee, B. M.; Qi, H. J. Smart Mater. Struct. 2011, 20, 065010. doi: 10.1088/0964-1726/20/6/065010
90. [90]
  Pyo, Y.; Kang, M.; Jang, J. Y.; Park, Y.; Son, Y. H.; Choi, M.; Ha, J. W.; Chang, Y. W.; Lee, C. S. Sensor. Actuat. A-Phys. 2018, 283, 187. doi: 10.1016/j.sna.2018.08.049
91. [91]
  Mao, Y.; Ding, Z.; Yuan, C.; Ai, S.; Isakov, M.; Wu, J.; Wang, T.; Dunn, M. L.; Qi, H. J. Sci. Rep-UK. 2016, 6, 24761. doi: 10.1038/srep24761
92. [92]
  Ze, Q.; Kuang, X.; Wu, S.; Wong, J.; Montgomery, S. M.; Zhang, R.; Kovitz, J. M.; Yang, F.; Qi, H. J.; Zhao, R. Adv. Mater. 2019, 32, 1906657.
93. [93]
  Wang, L.; Razzaq, M. Y.; Rudolph, T.; Heuchel, M.; Nochel, U.; Mansfeld, U.; Jiang, Y.; Gould, O. E. C.; Behl, M.; Kratz, K.; Lendlein, A. Mater. Horiz. 2018, 5, 861. doi: 10.1039/C8MH00266E
94. [94]
  Behl, M.; Kratz, K.; Zotzmann, J.; Noechel, U.; Lendlein, A. Adv. Mater. 2013, 25, 4466. doi: 10.1002/adma.201300880
95. [95]
  Gao, Y.; Liu, W.; Zhu, S. ACS Appl. Mater. Interfaces 2017, 9, 4882. doi: 10.1021/acsami.6b14728
1. [1]
  Xiyuan Su , Zhenlin Hu , Ye Fan , Xianyuan Liu , Xianyong Lu . Change as You Want: Multi-Responsive Superhydrophobic Intelligent Actuation Material. University Chemistry, 2024, 39(5): 228-237. doi: 10.3866/PKU.DXHX202311059
2. [2]
  Tianlong Zhang , Rongling Zhang , Hongsheng Tang , Yan Li , Hua Li . Exploration on the Integration Mode of Instrumental Analysis with Science and Education under the Background of Artificial Intelligence Era. University Chemistry, 2024, 39(8): 365-374. doi: 10.12461/PKU.DXHX202403014
3. [3]
  Baohua LÜ , Yuzhen LI . Anisotropic photoresponse of two-dimensional layered α-In₂Se₃(2H) ferroelectric materials. Chinese Journal of Inorganic Chemistry, 2024, 40(10): 1911-1918. doi: 10.11862/CJIC.20240105
4. [4]
  Bao Jia , Yunzhe Ke , Shiyue Sun , Dongxue Yu , Ying Liu , Shuaishuai Ding . Innovative Experimental Teaching for the Preparation and Modification of Conductive Organic Polymer Thin Films in Undergraduate Courses. University Chemistry, 2024, 39(10): 271-282. doi: 10.12461/PKU.DXHX202404121
5. [5]
  Junjie Zhang , Yue Wang , Qiuhan Wu , Ruquan Shen , Han Liu , Xinhua Duan . Preparation and Selective Separation of Lightweight Magnetic Molecularly Imprinted Polymers for Trace Tetracycline Detection in Milk. University Chemistry, 2024, 39(5): 251-257. doi: 10.3866/PKU.DXHX202311084
6. [6]
  Dongmei Xu . The Twists and Turns of Hair Metamorphosis. University Chemistry, 2024, 39(9): 81-84. doi: 10.12461/PKU.DXHX202403062
7. [7]
  You Wu , Chang Cheng , Kezhen Qi , Bei Cheng , Jianjun Zhang , Jiaguo Yu , Liuyang Zhang . ZnO/D-A共轭聚合物S型异质结高效光催化产H₂O₂及其电荷转移动力学研究. Acta Physico-Chimica Sinica, 2024, 40(11): 2406027-. doi: 10.3866/PKU.WHXB202406027
8. [8]
  Xinyue Zhang , Yifeng Ding , Ning Ma . Research on the “Project-based” Master’s Degree Model for Graduate Students in Materials and Chemical Engineering. University Chemistry, 2024, 39(6): 98-102. doi: 10.3866/PKU.DXHX202312093
9. [9]
  Yuena Yang , Xufang Hu , Yushan Liu , Yaya Kuang , Jian Ling , Qiue Cao , Chuanhua Zhou . The Realm of Smart Hydrogels. University Chemistry, 2024, 39(5): 172-183. doi: 10.3866/PKU.DXHX202310125
10. [10]
  Hongling Yuan , Jialin Xie , Jiawei Wang , Jixiang Zhao , Jiayan Liu , Qing Feng , Wei Qi , Min Liu . Cyclic Olefin Copolymer (COC): The Agile Vanguard in the Realm of Materials. University Chemistry, 2024, 39(7): 294-298. doi: 10.12461/PKU.DXHX202311041
11. [11]
  Jing Du , Xi Yu , Xiaofei Ma , Wentao Zhao . Artificial Intelligence & Chemistry Course Construction. University Chemistry, 2024, 39(11): 65-71. doi: 10.12461/PKU.DXHX202403072
12. [12]
  Di WU , Ruimeng SHI , Zhaoyang WANG , Yuehua SHI , Fan YANG , Leyong ZENG . Construction of pH/photothermal dual-responsive delivery nanosystem for combination therapy of drug-resistant bladder cancer cell. Chinese Journal of Inorganic Chemistry, 2024, 40(9): 1679-1688. doi: 10.11862/CJIC.20240135
13. [13]
  Tongqi Ye , Qi Wang , Yuewen Ye , Yanqing Wang , Hongyang Zhou , Xianghua Kong . Reflection on the Reform of Physical Chemistry Teaching under the Background of “Intelligent Chemical Engineering”. University Chemistry, 2024, 39(3): 167-173. doi: 10.3866/PKU.DXHX202308116
14. [14]
  Junli Liu . Practice and Exploration of Research-Oriented Classroom Teaching in the Integration of Science and Education: a Case Study on the Synthesis of Sub-Nanometer Metal Oxide Materials and Their Application in Battery Energy Storage. University Chemistry, 2024, 39(10): 249-254. doi: 10.12461/PKU.DXHX202404023
15. [15]
  Ping Li , Chao Yin . Teaching Exploration and Practical Innovation of General Education Courses in the Context of Artificial Intelligence. University Chemistry, 2024, 39(10): 402-407. doi: 10.12461/PKU.DXHX202403075
16. [16]
  Yunxin Xu , Wenbo Zhang , Jing Yan , Wangchang Geng , Yi Yan . A Fascinating Saga of “Energetic Materials”. University Chemistry, 2024, 39(9): 266-272. doi: 10.3866/PKU.DXHX202307008
17. [17]
  Hongyun Liu , Jiarun Li , Xinyi Li , Zhe Liu , Jiaxuan Li , Cong Xiao . Course Ideological and Political Design of a Comprehensive Chemistry Experiment: Constructing a Visual Molecular Logic System Based on Intelligent Hydrogel Film Electrodes. University Chemistry, 2024, 39(2): 227-233. doi: 10.3866/PKU.DXHX202309070
18. [18]
  Liwei Wang , Guangran Ma , Li Wang , Fugang Xu . A Comprehensive Analytical Chemistry Experiment: Colorimetric Detection of Vitamin C Using Nanozyme and Smartphone. University Chemistry, 2024, 39(8): 255-262. doi: 10.3866/PKU.DXHX202312094
19. [19]
  Chengxia Tong , Yajie Li , Jin Yan , Xuejian Qu , Shigang Wei , Yong Fan , Zhiguang Song , Yupeng Guo . The Construction and Practice of a Comprehensive and Three-Dimensional Practical Education Model. University Chemistry, 2024, 39(7): 49-55. doi: 10.12461/PKU.DXHX202404155
20. [20]
  Junlin Yan , Changhao Wang , Quanguo Zhai , Chenghui Liu , Dong Xue . A New Construction Model and Practice of Demonstration Center for Experimental Chemistry Education. University Chemistry, 2024, 39(7): 64-68. doi: 10.12461/PKU.DXHX202405005

Get Citation

PDF

XML

Metrics

PDF Downloads(81)
Abstract views(4835)
HTML views(1308)

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142