Synthesizable nanoparticle eigenshapes for colloidal crystals
Source abstract
Abstract
The gulf between the complexity and diversity of colloidal crystal phases predicted to form in computer simulation and that realized to date in experiment is narrowing, but is still wide. Prior work shows that many synthesized particles are far from optimal "eigenshapes" for target superlattice structures. We use digital alchemy to determine eigenshapes for possible target colloidal crystal structures for eight families of polyhedral nanoparticle shapes already synthesized in the laboratory. Within each family we predict optimal building block shapes to obtain several target superlattice structures, as a guide for future experiments. For three target crystal structures common to multiple families, we identify which of the optimal shapes is most optimal under the same thermodynamic conditions.
Source: openalex_inverted_index · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Gold and Silver Nanoparticles Synthesis and Applications · nanoparticles nucleation surface interactions · Iron oxide chemistry and applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Physics, University of Michigan, Ann Arbor, MI 48109, USA
Department of Physics, Engineering Physics, and Astronomy, Queen's University, Kingston, ON K7L 4B6, Canada
Department of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109, USA
Department of Materials Science and Engineering, University of Michigan, Ann Arbor, MI 48109, USA
Biointerfaces Institute, University of Michigan, Ann Arbor, MI 48109, USA
Funding
Simons Foundation · Natural Sciences and Engineering Research Council of Canada
References (61)
Show source-provided references
1. Wang · Nano Lett. · 2013 · 13 · 227610.1021/nl400893p ↗
2. Qi · Nanoscale · 2017 · 9 · 1563510.1039/C7NR05765B ↗
3. Xia · Nat. Commun. · 2021 · 12 · 301910.1038/s41467-021-23305-7 ↗
4. A.Haji-Akbari , M.Engel , A. S.Keys , X.Zheng , R. G.Petschek , P.Palffy-Muhoray and S. C.Glotzer
5. Agarwal · Nat. Mater. · 2011 · 10 · 23010.1038/nmat2959 ↗
6. P. F.Damasceno , M.Engel and S. C.Glotzer
7. P. F.Damasceno , M.Engel and S. C.Glotzer
8. Gantapara · Phys. Rev. Lett. · 2013 · 111 · 01550110.1103/PhysRevLett.111.015501 ↗
9. Schultz · ACS Nano · 2015 · 9 · 233610.1021/nn507490j ↗
10. Elbert · Langmuir · 2018 · 34 · 1333310.1021/acs.langmuir.8b02960 ↗
11. Quan · J. Am. Chem. Soc. · 2014 · 136 · 135210.1021/ja408250q ↗
12. Kovalenko · Science · 2009 · 324 · 141710.1126/science.1170524 ↗
13. Tao · Macromolecules · 2018 · 51 · 602110.1021/acs.macromol.8b01058 ↗
14. Patra · Nanoscale · 2019 · 11 · 1065510.1039/C8NR09699F ↗
15. Yu · Nano Lett. · 2016 · 16 · 781410.1021/acs.nanolett.6b04006 ↗
16. Yan · Nat. Commun. · 2018 · 9 · 335710.1038/s41467-018-05584-9 ↗
17. Nagaoka · Nature · 2018 · 561 · 37810.1038/s41586-018-0512-5 ↗
18. Wu · Nature · 2017 · 548 · 19710.1038/nature23308 ↗
19. Henzie · Nat. Mater. · 2012 · 11 · 13110.1038/nmat3178 ↗
20. Liu · Science · 2016 · 351 · 58210.1126/science.aad2080 ↗
21. Lin · Science · 2017 · 355 · 93110.1126/science.aal3919 ↗
22. Shevchenko · ACS Nano · 2020 · 14 · 1498910.1021/acsnano.0c04864 ↗
23. Doud · Nat. Rev. Mater. · 2020 · 5 · 37110.1038/s41578-019-0175-3 ↗
24. Talapin · MRS Bull. · 2020 · 45 · 79910.1557/mrs.2020.252 ↗
25. Boles · Chem. Rev. · 2016 · 116 · 1122010.1021/acs.chemrev.6b00196 ↗
26. G.van Anders , D.Klotsa , N. K.Ahmed , M.Engel and S. C.Glotzer , Proc. Natl. Acad. Sci. U. S. A. , 2014a , 111 , E4812
27. Lee · Proc. Natl. Acad. Sci. U. S. A. · 2019 · 116 · 1484310.1073/pnas.1905929116 ↗
28. Rossi · Soft Matter · 2011 · 7 · 413910.1039/C0SM01246G ↗
29. Young · Angew. Chem., Int. Ed. · 2013 · 52 · 1398010.1002/anie.201306009 ↗
30. Ye · Nat. Chem. · 2013 · 5 · 46610.1038/nchem.1651 ↗
31. G.van Anders , D.Klotsa , A. S.Karas , P. M.Dodd and S. C.Glotzer
32. Geng · Sci. Adv. · 2019 · 5 · eaaw051410.1126/sciadv.aaw0514 ↗
33. Y.Geng , G.van Anders and S. C.Glotzer , 2018
34. R.Cersonsky , G.van Anders , P. M.Dodd and S. C.Glotzer
35. Lu · Sci. Adv. · 2019 · 5 · eaaw239910.1126/sciadv.aaw2399 ↗
36. Hanfland · Nature · 2000 · 408 · 17410.1038/35041515 ↗
37. Lim · Adv. Funct. Mater. · 2009 · 19 · 18910.1002/adfm.200801439 ↗
38. Bao · Chem. Commun. · 2016 · 52 · 1259410.1039/C6CC07055H ↗
39. Zhu · Chem. – Eur. J. · 2013 · 19 · 512710.1002/chem.201203787 ↗
40. Liu · J. Am. Chem. Soc. · 2013 · 135 · 1175210.1021/ja406344j ↗
41. Tao · Angew. Chem., Int. Ed. · 2006 · 45 · 459710.1002/anie.200601277 ↗
42. Chiu · Nat. Chem. · 2011 · 3 · 39310.1038/nchem.1025 ↗
43. Ho · J. Phys. Chem. C · 2009 · 113 · 1415910.1021/jp903928p ↗
44. Liu · Langmuir · 2015 · 31 · 653810.1021/acs.langmuir.5b01337 ↗
45. Perez Cardenas · ACS Nano · 2018 · 12 · 110710.1021/acsnano.7b06104 ↗
46. Yu · J. Am. Chem. Soc. · 2010 · 132 · 1825810.1021/ja107405x ↗
47. Chen · J. Am. Chem. Soc. · 2009 · 131 · 1086010.1021/ja904225q ↗
48. Zheng · Chem. – Asian J. · 2014 · 9 · 263510.1002/asia.201402499 ↗
49. Niu · ACS Nano · 2010 · 4 · 198710.1021/nn100093y ↗
50. Anderson · Comput. Phys. Commun. · 2016 · 204 · 2110.1016/j.cpc.2016.02.024 ↗
51. Anderson · Comput. Mater. Sci. · 2020 · 173 · 10936310.1016/j.commatsci.2019.109363 ↗
52. G.van Anders , N. K.Ahmed , R.Smith , M.Engel and S. C.Glotzer
53. Frenkel · J. Chem. Phys. · 1984 · 81 · 318810.1063/1.448024 ↗
54. A.Haji-Akbari , M.Engel and S. C.Glotzer
55. Klotsa · Soft Matter · 2018 · 14 · 869210.1039/C8SM01573B ↗
56. E. R.Chen , D.Klotsa , M.Engel , P. F.Damasceno and S. C.Glotzer
57. Xia · J. Am. Chem. Soc. · 2012 · 134 · 179310.1021/ja210047e ↗
58. Newman · Mol. Phys. · 2019 · 117 · 381910.1080/00268976.2019.1668574 ↗
59. Travesset · Soft Matter · 2017 · 13 · 14710.1039/C6SM00713A ↗
60. McPherson · Acta Crystallogr., Sect. F: Struct. Biol. Commun. · 2014 · 70 · 210.1107/S2053230X13033141 ↗
61. Harper · Proc. Natl. Acad. Sci. U. S. A. · 2019 · 116 · 1670310.1073/pnas.1822092116 ↗