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SUMMARY:IMX Colloquium - Towards life-inspired soft matter dynamics and fu
 nctionalities
DTSTART:20261012T131500
DTEND:20261012T141500
DTSTAMP:20260928T165626Z
UID:12de80ab10dc2324cceba30d18ebe4086b622edf7dd9ecc0ca80c116
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Olli Ikkala\, Aalto University\, Department of Applied
  Physics\, Espoo\, Finland\nBiological systems have already paved several 
 routes for bioinspired materials\, e.g.\, for structural colours\, wetting
 \, adhesion\, and mechanical properties. They have largely involved equili
 brium or kinetically trapped properties. By contrast\, biological systems 
 allowing multifunctional properties are characteristically dissipatively a
 nd dynamically adaptive and incorporate homeostatic feedback mechanisms to
  regulate the dynamic states. They also typically use signal transduction 
 to mediate the signal from the sensory elements to the responsive sites\, 
 unlike the classic man-made stimuli responsive materials. These concept su
 ggest avenues towards more complex life-like functions in soft matter. Her
 ein\, optically driven hydrogel systems are presented to drive homeostatic
 ally controlled thermal oscillations and to mediate signal transduction vi
 a thermal intermediate signalling (1). On the other hand\, biological magn
 etoreception in elasmobranch organisms involves electromagnetic induction 
 (EMI) and suggests avenues for bioinspired electrical signal transductions
 .  We show magnetic profile recognition of translocated magnetically enco
 ded soft matter objects using electrical intermediate signaling by EMI and
  decoding the magnetic information with machine learning (2). Combination 
 of high stiffness and promoted dynamics for self-healing has turned challe
 nging to combine. Self-healing hydrogels\, still combining high tensile st
 iffness close to that of skin were shown by using polymers upon nanoconfin
 ement in 2D-nanosheet layered confinements (3). Finally\, we show trainabl
 e actuations in bilayer gel actuators (4). Ever more complex responses can
  be created\, such as mimicking the Pavlovian classical conditioning (5)\,
  all paving ways for growingly life-like functions for soft robotics and i
 nterfacing with biology.\n\n1.  H. Zhang\, H. Zeng\, A. Eklund\, H. Guo\,
  A. Priimagi\, O. Ikkala\, Feedback-controlled hydrogels with homeostatic 
 oscillations and dissipative signal transduction\, Nat. Nano\, 17\, 1303 (
 2022).\n2.  Z. Miao\, X. Hu\, K. Liu\, S. Hu\, G. Yan\, H. Tan\, O. Ikkal
 a\, Z. P. Lv\, B. Peng\, Bioinspired sensory transduction for magnetic pro
 file recognition and encryption\, Adv. Mat. 38 e15994 (2026).\n3.   C. Li
 ang\, V. Dudko\, O. Khoruzhenko\, X. Hong\, Z.-P. Lv\, J. Breu\, O. Ikkala
 \, H. Zhang\, Stiff and self-healing hydrogels by polymer entanglements in
  co-planar nanoconfinement\, Nat. Mater. 24\, 599 (2025).\n4.  S. Hu\, Y.
  Fang\, C. Liang\, M. Turunen\, O. Ikkala\, H. Zhang\, Thermally trainable
  dual network hydrogels\, Nat. Commun.\, 14\, 3717 (2023).\n5. H. Zhang\, 
 H. Zeng\, A. Priimagi\, O. Ikkala\, Programmable responsive hydrogels with
  classical conditioning algorithm\, Nat. Commun.\, 10\, 3267 (2019).
LOCATION:MXF 312 https://plan.epfl.ch/?room==MXF%20312
STATUS:CONFIRMED
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