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Bioinspired nonequilibrium search for novel materials

Published online by Cambridge University Press:  12 February 2019

Arvind Murugan  and
Heinrich M. Jaeger
Arvind Murugan
Affiliation:
The University of Chicago, USA; [email protected]
Heinrich M. Jaeger
Affiliation:
The University of Chicago, USA; [email protected]
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Abstract

Searching for materials with improved or perhaps completely novel properties involves an iterative process intended to successively narrow the gap between some initial starting point and the desired design target. This can be viewed as an optimization problem in a high-dimensional search space, often with many dozens of material parameters that need to be tuned. To tackle this, the evolutionary process in biology has been a source of inspiration in developing effective search algorithms. However, reaping the full benefits of bioinspired searches for materials design requires some thought. Here, we go beyond traditional black box algorithms and take a broader view of computational evolution strategies. We discuss recent strategies that exploit knowledge about the material configuration statistics and we highlight the advantages when time-varying environments are considered. Throughout, we emphasize that the search strategies themselves can be viewed as a nonequilibrium dynamical process in design space.

Keywords

biomimetic(assembly)elastic propertiesself-assembly
Type
Bioinspired Far-From-Equilibrium Materials
Information
MRS Bulletin , Volume 44 , Issue 2: Bioinspired Far-From-Equilibrium Materials , February 2019 , pp. 96 - 105
Copyright
Copyright © Materials Research Society 2019 

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References

Back, T., Schwefel, H.P., Evol. Comp. 1, 1 (1993).CrossRefGoogle Scholar
Eiben, A.E., Smith, J.E., Introduction to Evolutionary Computing (Springer, New York, 2003).CrossRefGoogle Scholar
Holland, J.H., Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence (University of Michigan, Ann Arbor, 1975).Google Scholar
Hansen, N., Müller, S.D., Koumoutsakos, P., Evol. Comp. 11, 1 (2003).CrossRefGoogle Scholar
Lipson, H., Pollack, J.B., Nature 406, 974 (2000).CrossRefGoogle Scholar
Bianchi, E., Doppelbauer, G., Filion, L., Dijkstra, M., Kahl, G., J. Chem. Phys. 136, 214102 (2012).CrossRefGoogle Scholar
Lyakhov, A.O., Oganov, A.R., Phys. Rev. B 84, 092103 (2011).CrossRefGoogle Scholar
Qin, J., Khaira, G.S., Su, Y.R., Garner, G.P., Miskin, M., Jaeger, H.M., de Pablo, J.J., Soft Matter 9, 11467 (2013).CrossRefGoogle Scholar
Khaira, G.S., Qin, J., Garner, G.P., Xiong, S., Wan, L., Ruiz, R., Jaeger, H.M., Nealey, P.F., de Pablo, J.J., ACS Macro Lett . 3, 747 (2014).CrossRefGoogle Scholar
Miskin, M.Z., Jaeger, H.M., Nat. Mater. 12, 326 (2013).CrossRefGoogle Scholar
Miskin, M.Z., Khaira, G.S., de Pablo, J.J., Jaeger, H.M., Proc. Natl. Acad. Sci. U.S.A. 113, 34 (2016).CrossRefGoogle Scholar
Frank, S.A., Slatkin, M., Trends Ecol. Evol. 7, 92 (1992).CrossRefGoogle Scholar
Miskin, M.Z., The Automated Design of Materials Far from Equilibrium, Springer Thesis (Springer, Switzerland, 2016).CrossRefGoogle Scholar
Sloane, N.J.A., Hardin, R.H., Duff, T.D.S., Conway, J.H., Discrete Comput. Geom. 14, 237 (1995).CrossRefGoogle Scholar
Miskin, M.Z., Jaeger, H.M., Soft Matter 10, 3708 (2014).CrossRefGoogle Scholar
Roth, L.K., Jaeger, H.M., Soft Matter 12, 1107 (2016).CrossRefGoogle Scholar
Bates, F.S., Hillmyer, M.A., Lodge, T.P., Bates, C.M., Delaney, K.T., Fredrickson, G.H., Science 336, 434 (2012).CrossRefGoogle Scholar
Jaeger, H.M., de Pablo, J.J., APL Mater . 4, 053209 (2016).CrossRefGoogle Scholar
Norberg, J., Swaney, D.P., Dushoff, J., Lin, J., Casagrandi, R., Levin, S.A., Proc. Natl. Acad. Sci. U.S.A. 98, 11376 (2001).CrossRefGoogle Scholar
Kashtan, N., Alon, U., Proc. Natl. Acad. Sci. U.S.A. 102, 13773 (2005).CrossRefGoogle Scholar
Lewontin, R.C., Cohen, D., Proc. Natl. Acad. Sci. U.S.A. 62, 1056 (1969).CrossRefGoogle Scholar
Kussell, E., Kishony, R., Balaban, N.Q., Leibler, S., Genetics 169, 1807 (2005).CrossRefGoogle Scholar
Bhattacharyya, R.P., Remenyi, A., Yeh, B.J., Lim, W.A., Annu. Rev. Biochem. 75, 655 (2006).CrossRefGoogle Scholar
Lipson, H., Pollack, J.B., Suh, N.P., Evolution 56, 1549 (2002).CrossRefGoogle Scholar
Parter, M., Kashtan, N., Alon, U., PLoS Comput. Biol. 4, e1000206 (2008).CrossRefGoogle Scholar
Kussell, E., Leibler, S., Grosberg, A., Phys. Rev. Lett. 97, 068101 (2006).CrossRefGoogle Scholar
Kussell, E., Leibler, S., Science 309, 2075 (2005).CrossRefGoogle Scholar
Wang, S., Mata-Fink, J., Kriegsman, B., Hanson, M., Irvine, D.J., Eisen, H.N., Burton, D.R., Wittrup, K.D., Kardar, M., Chakraborty, A.K., Cell 160, 785 (2015).CrossRefGoogle ScholarPubMed
Karplus, M., Fold. Des. 2, S69 (1997).CrossRefGoogle Scholar
Rothemund, P.W., ICCAD-2005, IEEE/ACM Int. Conf. Comp. Aid. Des. (2005) pp. 471–478.Google Scholar
England, J.L., Shakhnovich, E.I., Condens. Matter Soft (2002), https://arXiv:cond-mat/0208447.Google Scholar
Schuster, P., Fontana, W., Stadler, P.F., Hofacker, I.L., Proc. R. Soc. Lond. B 255, 279 (1994).Google Scholar
Fontana, W., Stadler, P.F., Bornberg-Bauer, E.G., Griesmacher, T., Hofacker, I.L., Tacker, M., Tarazona, P., Weinberger, E.D., Schuster, P., Phys. Rev. E Stat. Phys. Plasmas Fluids Relat. Interdiscip. Topics 47, 2083 (1993).Google Scholar
Dunn, K.E., Dannenberg, F., Ouldridge, T.E., Kwiatkowska, M., Turberfield, A.J., Bath, J., Nature 525, 82 (2015).CrossRefGoogle Scholar
Abkevich, V.I., Gutin, A.M., Shakhnovich, E.I., J. Chem. Phys. 101, 6052 (1994).CrossRefGoogle Scholar
Abkevich, V.I., Gutin, A.M., Shakhnovich, E.I., Proteins Struct. Funct. Bioinform. 31, 335 (1998).3.0.CO;2-H>CrossRefGoogle Scholar
Fink, T., Ball, R., Phys. Rev. Lett. 87, 198103 (2001).CrossRefGoogle Scholar
Schultes, E.A., Bartel, D.P., Science 289, 448 (2000).CrossRefGoogle Scholar
Murugan, A., Zeravcic, Z., Brenner, M.P., Leibler, S., Proc. Natl. Acad. Sci. U.S.A. 112, 54 (2015).CrossRefGoogle Scholar
Zhong, W., Schwab, D.J., Murugan, A., J. Stat. Phys. 167, 806 (2017).CrossRefGoogle Scholar
Ke, Y., Ong, L.L., Shih, W.M., Yin, P., Science 338, 1177 (2012).CrossRefGoogle Scholar
Bertoldi, K., Vitelli, V., Christensen, J., van Hecke, M., Nat. Rev. Mater. 2, 17066 (2017).CrossRefGoogle Scholar
Santangelo, C.D., Annu. Rev. Condens. Matter Phys. 8, 165 (2017).CrossRefGoogle Scholar
Stern, M., Pinson, M.B., Murugan, A., Phys. Rev. X 7, 041070 (2017).Google Scholar
Pinson, M.B., Stern, M., Carruthers Ferrero, A., Witten, T.A., Chen, E., Murugan, A., Nat. Commun. 8, 15477 (2017).CrossRefGoogle Scholar
Rocks, J.W., Pashine, N., Bischofberger, I., Goodrich, C.P., Liu, A.J., Nagel, S.R., Proc. Natl. Acad. Sci. U.S.A. 114, 2520 (2017).CrossRefGoogle Scholar
Tlusty, T., Libchaber, A., Eckmann, J.-P., Phys. Rev. X 7, 021037 (2017).Google Scholar
Yan, L., Ravasio, R., Brito, C., Wyart, M., Proc. Natl. Acad. Sci. U.S.A. 114, 2526 (2017).CrossRefGoogle Scholar
Hawkes, E., An, B., Benbernou, N.M., Tanaka, H., Kim, S., Demaine, E.D., Rus, D., Wood, R.J., Proc. Natl. Acad. Sci. U.S.A. 107, 12441 (2010).CrossRefGoogle Scholar
Raman, A.S., White, K.I., Ranganathan, R., Cell 166, 468 (2016).CrossRefGoogle Scholar
Pumir, A., Graves, J., Ranganathan, R., Shraiman, B.I., Proc. Natl. Acad. Sci. U.S.A. 105, 10354 (2008).CrossRefGoogle Scholar
Hemery, M., Rivoire, O., Phys. Rev. E Stat. Nonlin. Soft Matter Phys. 91, 042704 (2015).CrossRefGoogle Scholar
Athanassiadis, A.G., Miskin, M.Z., Kaplan, P., Rodenberg, N., Lee, S.H., Merritt, J., Brown, E., Amend, J., Lipson, H., Jaeger, H.M., Soft Matter 10, 4859 (2014).CrossRefGoogle Scholar
Baule, A., Makse, H.A., Soft Matter 10, 4423 (2014).CrossRefGoogle Scholar
Nguyen, D.-H., Azma, E., Sornay, P., Radjai, F., Phys. Rev. E Stat. Nonlin. Soft Matter Phys. 91, 022203 (2015).CrossRefGoogle Scholar
Dumont, D., Houze, M., Rambach, P., Salez, T., Patinet, S., Damman, P., Phys. Rev. Lett. 120, 088001 (2018).CrossRefGoogle Scholar
Huntley, M.H., Murugan, A., Brenner, M.P., Proc. Natl. Acad. Sci. U.S.A. 113, 5841 (2016).CrossRefGoogle Scholar
Zhao, K., Mason, T., Phys. Rev. Lett. 99, 268301 (2007).CrossRefGoogle Scholar
Young, K.L., Personick, M.L., Engel, M., Damasceno, P.F., Barnaby, S.N., Bleher, R., Li, T., Glotzer, S.C., Lee, B., Mirkin, C.A., Angew. Chem. Int. Ed. Engl. 52, 13980 (2013).CrossRefGoogle Scholar