Smart, C. L. et al. Magnetically programmed diffractive robotics. Science 386, 1031 (2024).<\/p>\n
Article<\/a>\u00a0 Liu, Q. et al. Electronically configurable microscopic metasheet robots. Nat. Mater. 24, 109 (2025).<\/p>\n Article<\/a>\u00a0 Coulais, C., Teomy, E., de Reus, K., Shokef, Y. & van Hecke, M. Combinatorial design of textured mechanical metamaterials. Nature 535, 529 (2016).<\/p>\n Article<\/a>\u00a0 Overvelde, J. T. B., Weaver, J. C., Hoberman, C. & Bertoldi, K. Rational design of reconfigurable prismatic architected materials. Nature 541, 347 (2017).<\/p>\n Article<\/a>\u00a0 Kim, Y., Yuk, H., Zhao, R., Chester, S. A. & Zhao, X. Printing ferromagnetic domains for untethered fast-transforming soft materials. Nature 558, 274 (2018).<\/p>\n Article<\/a>\u00a0 Si\u00e9fert, E., Reyssat, E., Bico, J. & Roman, B. Bio-inspired pneumatic shape-morphing elastomers. Nat. Mater. 18, 24 (2019).<\/p>\n Article<\/a>\u00a0 Choi, G. P. T., Dudte, L. H. & Mahadevan, L. Programming shape using kirigami tessellations. Nat. Mater. 18, 999 (2019).<\/p>\n Article<\/a>\u00a0 Zareei, A., Deng, B. & Bertoldi, K. Harnessing transition waves to realize deployable structures. Proc. Natl Acad. Sci. USA 117, 4015 (2020).<\/p>\n Article<\/a>\u00a0 Jin, L., Forte, A. E., Deng, B., Rafsanjani, A. & Bertoldi, K. Kirigami-inspired inflatables with programmable shapes. Adv. Mater. 32, 2001863 (2020).<\/p>\n Article<\/a>\u00a0 Van Manen, T., Janbaz, S., Jansen, K. M. B. & Zadpoor, A. A. 4D printing of reconfigurable metamaterials and devices. Commun. Mater. 2, 56 (2021).<\/p>\n Article<\/a>\u00a0 Hwang, D., Barron, E. J., Haque, A. B. M. T. & Bartlett, M. D. Shape morphing mechanical metamaterials through reversible plasticity. Sci. Robot. 7, eabg2171 (2022).<\/p>\n Article<\/a>\u00a0 Gao, T., Bico, J. & Roman, B. Pneumatic cells toward absolute Gaussian morphing. Science 381, 862 (2023).<\/p>\n Article<\/a>\u00a0 Meeussen, A. S. & Van Hecke, M. Multistable sheets with rewritable patterns for switchable shape-morphing. Nature 621, 516 (2023).<\/p>\n Article<\/a>\u00a0 Melancon, D., Gorissen, B., Garc\u00eda-Mora, C. J., Hoberman, C. & Bertoldi, K. Multistable inflatable origami structures at the metre scale. Nature 592, 545 (2021).<\/p>\n Article<\/a>\u00a0 Stein-Montalvo, L., Ding, L., Hultmark, M., Adriaenssens, S. & Bou-Zeid, E. Kirigami-inspired wind steering for natural ventilation. J. Wind Eng. Ind. Aerodyn. 246, 105667 (2024).<\/p>\n Article<\/a>\u00a0 Li, Y. et al. Adaptive hierarchical origami-based metastructures. Nat. Commun. 15, 6247 (2024).<\/p>\n Article<\/a>\u00a0 Baines, R., Fish, F., Bongard, J. & Kramer-Bottiglio, R. Robots that evolve on demand. Nat. Rev. Mater. 9, 822 (2024).<\/p>\n Article<\/a>\u00a0 Adrover, E. R. Deployable Structures (Hachette, 2015).<\/p>\n Bastien, R., Bohr, T., Moulia, B. & Douady, S. Unifying model of shoot gravitropism reveals proprioception as a central feature of posture control in plants. Proc. Natl Acad. Sci. USA 110, 755 (2013).<\/p>\n Article<\/a>\u00a0 Tal\u00e0, L., Fineberg, A., Kukura, P. & Persat, A. Pseudomonas aeruginosa orchestrates twitching motility by sequential control of type IV pili movements. Nat. Microbiol. 4, 774 (2019).<\/p>\n Article<\/a>\u00a0 Noselli, G., Beran, A., Arroyo, M. & DeSimone, A. Swimming Euglena respond to confinement with a behavioural change enabling effective crawling. Nat. Phys. 15, 496 (2019).<\/p>\n Article<\/a>\u00a0 Kramar, M. & Alim, K. Encoding memory in tube diameter hierarchy of living flow network. Proc. Natl Acad. Sci. USA 118, e2007815118 (2021).<\/p>\n Article<\/a>\u00a0 Poole, W. et al. Chemical Boltzmann machines. In DNA Computing and Molecular Programming Vol. 10467 (eds Brijder, R. & Qian, L.) 210\u2013231 (2017).<\/p>\n Stern, M., Arinze, C., Perez, L., Palmer, S. E. & Murugan, A. Supervised learning through physical changes in a mechanical system. Proc. Natl Acad. Sci. USA 117, 14843 (2020).<\/p>\n Article<\/a>\u00a0 Stern, M., Hexner, D., Rocks, J. W. & Liu, A. J. Supervised learning in physical networks: from machine learning to learning machines. Phys. Rev. X 11, 021045 (2021).<\/p>\n Dillavou, S., Stern, M., Liu, A. J. & Durian, D. J. Demonstration of decentralized physics-driven learning. Phys. Rev. Appl. 18, 014040 (2022).<\/p>\n Article<\/a>\u00a0 Stern, M. & Murugan, A. Learning without neurons in physical systems. Annu. Rev. Condens. Matter Phys. 14, 417 (2023).<\/p>\n Article<\/a>\u00a0 Falk, M. J. et al. Learning to learn by using nonequilibrium training protocols for adaptable materials. Proc. Natl Acad. Sci. USA 120, e2219558120 (2023).<\/p>\n Article<\/a>\u00a0 Patil, V. P., Ho, I. & Prakash, M. Self-learning mechanical circuits. Preprint at http:\/\/arxiv.org\/abs\/2304.08711<\/a> (2023).<\/p>\n Arinze, C., Stern, M., Nagel, S. R. & Murugan, A. Learning to self-fold at a bifurcation. Phys. Rev. E 107, 025001 (2023).<\/p>\n Article<\/a>\u00a0 Altman, L. E., Stern, M., Liu, A. J. & Durian, D. J. Experimental demonstration of coupled learning in elastic networks. Phys. Rev. Appl. 22, 024053 (2024).<\/p>\n Article<\/a>\u00a0 Dillavou, S. et al. Machine learning without a processor: emergent learning in a nonlinear analog network. Proc. Natl Acad. Sci. USA 121, e2319718121 (2024).<\/p>\n Article<\/a>\u00a0 Mandal, R. et al. Learning dynamical behaviors in physical systems. Preprint at http:\/\/arxiv.org\/abs\/2406.07856<\/a> (2024).<\/p>\n Falk, M. J., Strupp, A. T., Scellier, B. & Murugan, A. Temporal contrastive learning through implicit non-equilibrium memory. Nat. Commun. 16, 2163 (2025).<\/p>\n Article<\/a>\u00a0 Jani, J. M., Leary, M., Subic, A. & Gibson, M. A. A review of shape memory alloy research, applications and opportunities. Mater. Des. (1980\u20132015) 56, 1078 (2014).<\/p>\n Article<\/a>\u00a0 Fruchart, M., Scheibner, C. & Vitelli, V. Odd viscosity and odd elasticity. Annu. Rev. Condens. Matter Phys. 14, 471 (2023).<\/p>\n Article<\/a>\u00a0 Veenstra, J. et al. Non-reciprocal topological solitons in active metamaterials. Nature 627, 528 (2024).<\/p>\n Article<\/a>\u00a0 Veenstra, J. et al. Adaptive locomotion of active solids. Nature 639, 935 (2025).<\/p>\n Article<\/a>\u00a0 Movellan, J. R. Contrastive Hebbian learning in the continuous Hopfield model. In Connectionist Models (eds Touretzky, D. S. et al.) 10\u201317 (Morgan Kaufmann, 11991).<\/p>\n Scellier, B., Ernoult, M., Kendall, J. & Kumar, S. Energy-based learning algorithms for analog computing: a comparative study. In Proc. 37th International Conference on Neural Information Processing Systems 52705\u201352731 (2023).<\/p>\n Rocks, J. W., Ronellenfitsch, H., Liu, A. J., Nagel, S. R. & Katifori, E. Limits of multifunctionality in tunable networks. Proc. Natl Acad. Sci. USA 116, 2506 (2019).<\/p>\n Article<\/a>\u00a0 Stern, M., Pinson, M. B. & Murugan, A. Continual learning of multiple memories in mechanical networks. Phys. Rev. X 10, 031044 (2020).<\/p>\n Semyon Aronovich, G. \u00dcber die Abgrenzung der Eigenwerte einer Matrix. Bull. Acad. Sci. USSR 6, 749\u2013754 (1931).<\/p>\n Ijspeert, A. J., Crespi, A., Ryczko, D. & Cabelguen, J.-M. From swimming to walking with a salamander robot driven by a spinal cord model. Science 315, 1416 (2007).<\/p>\n Article<\/a>\u00a0 Savoie, W. et al. A robot made of robots: emergent transport and control of a smarticle ensemble. Sci. Robot. 4, eaax4316 (2019).<\/p>\n Article<\/a>\u00a0 Oliveri, G., van Laake, L. C., Carissimo, C., Miette, C. & Overvelde, J. T. B. Continuous learning of emergent behavior in robotic matter. Proc. Natl Acad. Sci. USA 118, e2017015118 (2021).<\/p>\n Article<\/a>\u00a0 Li, S. et al. Robotic swimming in curved space via geometric phase. Proc. Natl Acad. Sci. USA 119, e2200924119 (2022).<\/p>\n Article<\/a>\u00a0 Van Hecke, M. Profusion of transition pathways for interacting hysterons. Phys. Rev. E 104, 054608 (2021).<\/p>\n Article<\/a>\u00a0 Purcell, E. M. Life at low Reynolds number. Am. J. Phys. 45, 3 (1977).<\/p>\n Article<\/a>\u00a0 Lee, R. H., Mulder, E. A. B. & Hopkins, J. B. Mechanical neural networks: architected materials that learn behaviors. Sci. Robot. 7, eabq7278 (2022).<\/p>\n Bordiga, G. et al. Automated discovery of reprogrammable nonlinear dynamic metamaterials. Nat. Mater. 23, 1486 (2024).<\/p>\n Article<\/a>\u00a0 Li, S. et al. Particle robotics based on statistical mechanics of loosely coupled components. Nature 567, 361 (2019).<\/p>\n Article<\/a>\u00a0 Saintyves, B., Spenko, M. & Jaeger, H. M. A self-organizing robotic aggregate using solid and liquid-like collective states. Sci. Robot. 9, eadh4130 (2024).<\/p>\n Article<\/a>\u00a0 Zou, S. et al. A retrofit sensing strategy for soft fluidic robots. Nat. Commun. 15, 539 (2024).<\/p>\n Article<\/a>\u00a0 Dudek, K. K., Kadic, M., Coulais, C. & Bertoldi, K. Shape-morphing metamaterials. Nat. Rev. Mater. 10, 783 (2025).<\/p>\n Article<\/a>\u00a0 Veenstra, J. et al. Wave coarsening drives time crystallization in active solids. Preprint at https:\/\/arxiv.org\/abs\/2508.20052<\/a> (2025).<\/p>\n Klos, C., Kalle Kossio, Y. F., Goedeke, S., Gilra, A. & Memmesheimer, R.-M. Dynamical learning of dynamics. Phys. Rev. Lett. 125, 088103 (2020).<\/p>\n Article<\/a>\u00a0 Yao, D., van Mastrigt, R., Veenstra, J. & Coulais, C. Metamaterials that learn to change shape. Zenodo https:\/\/doi.org\/10.5281\/ZENODO.18544299<\/a> (2026).<\/p>\n Al-Izzi, S. C. et al. Nonreciprocal buckling makes active filaments polyfunctional. Proc. Natl Acad. Sci. USA 123, e2531723123 (2025).<\/p>\n Article<\/a>\u00a0
\n ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n MathSciNet<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n MathSciNet<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n MathSciNet<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n ADS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n","protected":false},"excerpt":{"rendered":"Smart, C. L. et al. Magnetically programmed diffractive robotics. Science 386, 1031 (2024). Article\u00a0 ADS\u00a0 Google Scholar\u00a0 Liu,…\n","protected":false},"author":2,"featured_media":591696,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[24],"tags":[7265,64,63,7264,7269,7268,1325,7263,7266,7267,292,128,34729,3970,7262,3971],"class_list":{"0":"post-591695","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-physics","8":"tag-atomic","9":"tag-au","10":"tag-australia","11":"tag-classical-and-continuum-physics","12":"tag-complex-systems","13":"tag-condensed-matter-physics","14":"tag-general","15":"tag-mathematical-and-computational-physics","16":"tag-molecular","17":"tag-optical-and-plasma-physics","18":"tag-physics","19":"tag-science","20":"tag-soft-materials","21":"tag-statistical-physics","22":"tag-theoretical","23":"tag-thermodynamics-and-nonlinear-dynamics"},"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts\/591695","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/comments?post=591695"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts\/591695\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/media\/591696"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/media?parent=591695"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/categories?post=591695"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/tags?post=591695"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}