DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Using symmetry to elucidate the importance of stoichiometry in colloidal crystal assembly

Abstract

Abstract We demonstrate a method based on symmetry to predict the structure of self-assembling, multicomponent colloidal mixtures. This method allows us to feasibly enumerate candidate structures from all symmetry groups and is many orders of magnitude more computationally efficient than combinatorial enumeration of these candidates. In turn, this permits us to compute ground-state phase diagrams for multicomponent systems. While tuning the interparticle potentials to produce potentially complex interactions represents the conventional route to designing exotic lattices, we use this scheme to demonstrate that simple potentials can also give rise to such structures which are thermodynamically stable at moderate to low temperatures. Furthermore, for a model two-dimensional colloidal system, we illustrate that lattices forming a complete set of 2-, 3-, 4-, and 6-fold rotational symmetries can be rationally designed from certain systems by tuning the mixture composition alone, demonstrating that stoichiometric control can be a tool as powerful as directly tuning the interparticle potentials themselves.

Authors:
ORCiD logo; ; ; ORCiD logo
Publication Date:
Research Org.:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22). Materials Sciences & Engineering Division; USDOE Office of Science (SC), Basic Energy Sciences (BES). Scientific User Facilities Division
OSTI Identifier:
1619511
Alternate Identifier(s):
OSTI ID: 1527358
Grant/Contract Number:  
SC0013979; AC02-05CH11231
Resource Type:
Published Article
Journal Name:
Nature Communications
Additional Journal Information:
Journal Name: Nature Communications Journal Volume: 10 Journal Issue: 1; Journal ID: ISSN 2041-1723
Publisher:
Nature Publishing Group
Country of Publication:
United Kingdom
Language:
English
Subject:
37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY

Citation Formats

Mahynski, Nathan A., Pretti, Evan, Shen, Vincent K., and Mittal, Jeetain. Using symmetry to elucidate the importance of stoichiometry in colloidal crystal assembly. United Kingdom: N. p., 2019. Web. doi:10.1038/s41467-019-10031-4.
Mahynski, Nathan A., Pretti, Evan, Shen, Vincent K., & Mittal, Jeetain. Using symmetry to elucidate the importance of stoichiometry in colloidal crystal assembly. United Kingdom. https://doi.org/10.1038/s41467-019-10031-4
Mahynski, Nathan A., Pretti, Evan, Shen, Vincent K., and Mittal, Jeetain. Thu . "Using symmetry to elucidate the importance of stoichiometry in colloidal crystal assembly". United Kingdom. https://doi.org/10.1038/s41467-019-10031-4.
@article{osti_1619511,
title = {Using symmetry to elucidate the importance of stoichiometry in colloidal crystal assembly},
author = {Mahynski, Nathan A. and Pretti, Evan and Shen, Vincent K. and Mittal, Jeetain},
abstractNote = {Abstract We demonstrate a method based on symmetry to predict the structure of self-assembling, multicomponent colloidal mixtures. This method allows us to feasibly enumerate candidate structures from all symmetry groups and is many orders of magnitude more computationally efficient than combinatorial enumeration of these candidates. In turn, this permits us to compute ground-state phase diagrams for multicomponent systems. While tuning the interparticle potentials to produce potentially complex interactions represents the conventional route to designing exotic lattices, we use this scheme to demonstrate that simple potentials can also give rise to such structures which are thermodynamically stable at moderate to low temperatures. Furthermore, for a model two-dimensional colloidal system, we illustrate that lattices forming a complete set of 2-, 3-, 4-, and 6-fold rotational symmetries can be rationally designed from certain systems by tuning the mixture composition alone, demonstrating that stoichiometric control can be a tool as powerful as directly tuning the interparticle potentials themselves.},
doi = {10.1038/s41467-019-10031-4},
journal = {Nature Communications},
number = 1,
volume = 10,
place = {United Kingdom},
year = {Thu May 02 00:00:00 EDT 2019},
month = {Thu May 02 00:00:00 EDT 2019}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1038/s41467-019-10031-4

Citation Metrics:
Cited by: 9 works
Citation information provided by
Web of Science

Save / Share:

Works referenced in this record:

Crystals from first principles
journal, September 1988


Minima hopping: An efficient search method for the global minimum of the potential energy surface of complex molecular systems
journal, June 2004

  • Goedecker, Stefan
  • The Journal of Chemical Physics, Vol. 120, Issue 21
  • DOI: 10.1063/1.1724816

First Step Towards Planning of Syntheses in Solid-State Chemistry: Determination of Promising Structure Candidates by Global Optimization
journal, July 1996

  • Schön, J. Christian; Jansen, Martin
  • Angewandte Chemie International Edition in English, Vol. 35, Issue 12
  • DOI: 10.1002/anie.199612861

Crystal structure prediction from first principles
journal, December 2008

  • Woodley, Scott M.; Catlow, Richard
  • Nature Materials, Vol. 7, Issue 12
  • DOI: 10.1038/nmat2321

Discovering crystals using shape matching and machine learning
journal, January 2013

  • Phillips, Carolyn L.; Voth, Gregory A.
  • Soft Matter, Vol. 9, Issue 35
  • DOI: 10.1039/c3sm51449h

Least squares quantization in PCM
journal, March 1982


Machine learning for crystal identification and discovery
journal, March 2018

  • Spellings, Matthew; Glotzer, Sharon C.
  • AIChE Journal, Vol. 64, Issue 6
  • DOI: 10.1002/aic.16157

Efficient Method for Predicting Crystal Structures at Finite Temperature: Variable Box Shape Simulations
journal, October 2009


Ab initio random structure searching
journal, January 2011


The Plane Symmetry Groups: Their Recognition and Notation
journal, June 1978


A mechanistic view of binary colloidal superlattice formation using DNA-directed interactions
journal, January 2011

  • Scarlett, Raynaldo T.; Ung, Marie T.; Crocker, John C.
  • Soft Matter, Vol. 7, Issue 5
  • DOI: 10.1039/c0sm00370k

Rational design of self-assembly pathways for complex multicomponent structures
journal, May 2015

  • Jacobs, William M.; Reinhardt, Aleks; Frenkel, Daan
  • Proceedings of the National Academy of Sciences, Vol. 112, Issue 20
  • DOI: 10.1073/pnas.1502210112

Fast Parallel Algorithms for Short-Range Molecular Dynamics
journal, March 1995


Crystal structure prediction via particle-swarm optimization
journal, September 2010


Stoichiometric control of DNA-grafted colloid self-assembly
journal, April 2015

  • Vo, Thi; Venkatasubramanian, Venkat; Kumar, Sanat
  • Proceedings of the National Academy of Sciences, Vol. 112, Issue 16
  • DOI: 10.1073/pnas.1420907112

A fingerprint based metric for measuring similarities of crystalline structures
journal, January 2016

  • Zhu, Li; Amsler, Maximilian; Fuhrer, Tobias
  • The Journal of Chemical Physics, Vol. 144, Issue 3
  • DOI: 10.1063/1.4940026

Ordering in Two-Dimensional Dipolar Mixtures
journal, July 2009

  • Fornleitner, Julia; Lo Verso, Federica; Kahl, Gerhard
  • Langmuir, Vol. 25, Issue 14
  • DOI: 10.1021/la900421v

Anisotropy of building blocks and their assembly into complex structures
journal, August 2007

  • Glotzer, Sharon C.; Solomon, Michael J.
  • Nature Materials, Vol. 6, Issue 8, p. 557-562
  • DOI: 10.1038/nmat1949

How Evolutionary Crystal Structure Prediction Works—and Why
journal, March 2011

  • Oganov, Artem R.; Lyakhov, Andriy O.; Valle, Mario
  • Accounts of Chemical Research, Vol. 44, Issue 3
  • DOI: 10.1021/ar1001318

Prediction of crystal structures from crystal chemistry rules by simulated annealing
journal, July 1990

  • Pannetier, J.; Bassas-Alsina, J.; Rodriguez-Carvajal, J.
  • Nature, Vol. 346, Issue 6282
  • DOI: 10.1038/346343a0

Evolutionary Crystal Structure Prediction as a Method for the Discovery of Minerals and Materials
journal, January 2010

  • Oganov, A. R.; Ma, Y.; Lyakhov, A. O.
  • Reviews in Mineralogy and Geochemistry, Vol. 71, Issue 1
  • DOI: 10.2138/rmg.2010.71.13

USPEX—Evolutionary crystal structure prediction
journal, December 2006

  • Glass, Colin W.; Oganov, Artem R.; Hansen, Nikolaus
  • Computer Physics Communications, Vol. 175, Issue 11-12
  • DOI: 10.1016/j.cpc.2006.07.020

Crystal-structure prediction via the Floppy-Box Monte Carlo algorithm: Method and application to hard (non)convex particles
journal, December 2012

  • de Graaf, Joost; Filion, Laura; Marechal, Matthieu
  • The Journal of Chemical Physics, Vol. 137, Issue 21
  • DOI: 10.1063/1.4767529

Atom-centered symmetry functions for constructing high-dimensional neural network potentials
journal, February 2011

  • Behler, Jörg
  • The Journal of Chemical Physics, Vol. 134, Issue 7
  • DOI: 10.1063/1.3553717

Entropically Patchy Particles: Engineering Valence through Shape Entropy
journal, December 2013

  • van Anders, Greg; Ahmed, N. Khalid; Smith, Ross
  • ACS Nano, Vol. 8, Issue 1
  • DOI: 10.1021/nn4057353

DNA-mediated nanoparticle crystallization into Wulff polyhedra
journal, November 2013

  • Auyeung, Evelyn; Li, Ting I. N. G.; Senesi, Andrew J.
  • Nature, Vol. 505, Issue 7481
  • DOI: 10.1038/nature12739

How to quantify energy landscapes of solids
journal, March 2009

  • Oganov, Artem R.; Valle, Mario
  • The Journal of Chemical Physics, Vol. 130, Issue 10
  • DOI: 10.1063/1.3079326

Ionic colloidal crystals of oppositely charged particles
journal, September 2005

  • Leunissen, Mirjam E.; Christova, Christina G.; Hynninen, Antti-Pekka
  • Nature, Vol. 437, Issue 7056
  • DOI: 10.1038/nature03946

Nanoparticle Superlattice Engineering with DNA
journal, October 2011


A Limited Memory Algorithm for Bound Constrained Optimization
journal, September 1995

  • Byrd, Richard H.; Lu, Peihuang; Nocedal, Jorge
  • SIAM Journal on Scientific Computing, Vol. 16, Issue 5
  • DOI: 10.1137/0916069

Driving diffusionless transformations in colloidal crystals using DNA handshaking
journal, January 2012

  • Casey, Marie T.; Scarlett, Raynaldo T.; Benjamin Rogers, W.
  • Nature Communications, Vol. 3, Issue 1
  • DOI: 10.1038/ncomms2206

Advances in Colloidal Assembly: The Design of Structure and Hierarchy in Two and Three Dimensions
journal, June 2015

  • Vogel, Nicolas; Retsch, Markus; Fustin, Charles-André
  • Chemical Reviews, Vol. 115, Issue 13
  • DOI: 10.1021/cr400081d

Graphoepitaxy for Pattern Multiplication of Nanoparticle Monolayers
journal, August 2014


Programmable materials and the nature of the DNA bond
journal, February 2015


Inverse design of multicomponent assemblies
journal, March 2018

  • Piñeros, William D.; Lindquist, Beth A.; Jadrich, Ryan B.
  • The Journal of Chemical Physics, Vol. 148, Issue 10
  • DOI: 10.1063/1.5021648

Lattice engineering through nanoparticle–DNA frameworks
journal, February 2016

  • Tian, Ye; Zhang, Yugang; Wang, Tong
  • Nature Materials, Vol. 15, Issue 6, p. 654-661
  • DOI: 10.1038/nmat4571

Designing DNA-grafted particles that self-assemble into desired crystalline structures using the genetic algorithm
journal, October 2013

  • Srinivasan, B.; Vo, T.; Zhang, Y.
  • Proceedings of the National Academy of Sciences, Vol. 110, Issue 46
  • DOI: 10.1073/pnas.1316533110

The quickhull algorithm for convex hulls
journal, December 1996

  • Barber, C. Bradford; Dobkin, David P.; Huhdanpaa, Hannu
  • ACM Transactions on Mathematical Software, Vol. 22, Issue 4
  • DOI: 10.1145/235815.235821

Order through entropy
journal, December 2014


Probabilistic inverse design for self-assembling materials
journal, May 2017

  • Jadrich, R. B.; Lindquist, B. A.; Truskett, T. M.
  • The Journal of Chemical Physics, Vol. 146, Issue 18
  • DOI: 10.1063/1.4981796

Generic phase diagram of binary superlattices
journal, August 2016

  • Tkachenko, Alexei V.
  • Proceedings of the National Academy of Sciences, Vol. 113, Issue 37
  • DOI: 10.1073/pnas.1525358113

Genetic algorithms predict formation of exotic ordered configurations for two-component dipolar monolayers
journal, January 2008

  • Fornleitner, Julia; Lo Verso, Federica; Kahl, Gerhard
  • Soft Matter, Vol. 4, Issue 3
  • DOI: 10.1039/b717205b

Natively Unfolded Protein Stability as a Coil-to-Globule Transition in Charge/Hydropathy Space
journal, July 2008

  • Ashbaugh, Henry S.; Hatch, Harold W.
  • Journal of the American Chemical Society, Vol. 130, Issue 29
  • DOI: 10.1021/ja802124e

Global Optimization by Basin-Hopping and the Lowest Energy Structures of Lennard-Jones Clusters Containing up to 110 Atoms
journal, July 1997

  • Wales, David J.; Doye, Jonathan P. K.
  • The Journal of Physical Chemistry A, Vol. 101, Issue 28
  • DOI: 10.1021/jp970984n

Origin of similarity of phase diagrams in amphiphilic and colloidal systems with competing interactions
journal, January 2013

  • Ciach, A.; Pękalski, J.; Góźdź, W. T.
  • Soft Matter, Vol. 9, Issue 27
  • DOI: 10.1039/c3sm50668a

Generating derivative superstructures for systems with high configurational freedom
journal, August 2017


Predicting equilibrium structures in freezing processes
journal, May 2005

  • Gottwald, Dieter; Kahl, Gerhard; Likos, Christos N.
  • The Journal of Chemical Physics, Vol. 122, Issue 20
  • DOI: 10.1063/1.1901585

Large-scale screening of hypothetical metal–organic frameworks
journal, November 2011

  • Wilmer, Christopher E.; Leaf, Michael; Lee, Chang Yeon
  • Nature Chemistry, Vol. 4, Issue 2, p. 83-89
  • DOI: 10.1038/nchem.1192

A Simplex Method for Function Minimization
journal, January 1965


Metrics for measuring distances in configuration spaces
journal, November 2013

  • Sadeghi, Ali; Ghasemi, S. Alireza; Schaefer, Bastian
  • The Journal of Chemical Physics, Vol. 139, Issue 18
  • DOI: 10.1063/1.4828704

Intrinsically patterned two-dimensional materials for selective adsorption of molecules and nanoclusters
journal, June 2017

  • Lin, X.; Lu, J. C.; Shao, Y.
  • Nature Materials, Vol. 16, Issue 7
  • DOI: 10.1038/nmat4915

Binary Superlattice Design by Controlling DNA-Mediated Interactions
journal, October 2017


The geometrical basis of crystal chemistry. Part 1
journal, September 1954


Chemically feasible hypothetical crystalline networks
journal, March 2004

  • Foster, Martin D.; Simperler, Alexandra; Bell, Robert G.
  • Nature Materials, Vol. 3, Issue 4
  • DOI: 10.1038/nmat1090

Inverse design of simple pairwise interactions with low-coordinated 3D lattice ground states
journal, January 2013

  • Jain, Avni; Errington, Jeffrey R.; Truskett, Thomas M.
  • Soft Matter, Vol. 9, Issue 14
  • DOI: 10.1039/c3sm27785b

The Densest Packing of AB Binary Hard-Sphere Homogeneous Compounds across all Size Ratios
journal, September 2008

  • Kummerfeld, Jonathan K.; Hudson, Toby S.; Harrowell, Peter
  • The Journal of Physical Chemistry B, Vol. 112, Issue 35
  • DOI: 10.1021/jp804953r

Crystal structure prediction using ab initio evolutionary techniques: Principles and applications
journal, June 2006

  • Oganov, Artem R.; Glass, Colin W.
  • The Journal of Chemical Physics, Vol. 124, Issue 24
  • DOI: 10.1063/1.2210932

Global Optimization of Clusters, Crystals, and Biomolecules
journal, August 1999


Predicting crystal structure by merging data mining with quantum mechanics
journal, July 2006

  • Fischer, Christopher C.; Tibbetts, Kevin J.; Morgan, Dane
  • Nature Materials, Vol. 5, Issue 8
  • DOI: 10.1038/nmat1691

Mesoscale Graphene-like Honeycomb Mono- and Multilayers Constructed via Self-Assembly of Coclusters
journal, December 2017

  • Hou, Xue-Sen; Zhu, Guo-Long; Ren, Li-Jun
  • Journal of the American Chemical Society, Vol. 140, Issue 5
  • DOI: 10.1021/jacs.7b11324