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SUMMARY:Emergent dynamics of active colloids: chirality\, non-reciprocity 
 and memory
DTSTART;VALUE=DATE:20260511
DTSTAMP:20260501T141736Z
UID:d89811d1cf682a077412a3cf3db91178875ea47d14f24c51ec45756e
CATEGORIES:Conferences - Seminars
DESCRIPTION:You can apply to participate and find all the relevant informa
 tion (speakers\, abstracts\, program\,...) on the event website: https://
 www.cecam.org/workshop-details/emergent-dynamics-of-active-colloids-chiral
 ity-non-reciprocity-and-memory-1496.\n\nRegistration is required to attend
  the full event\, take part in the social activities and present a poster 
 at the poster session (if any).  However\, the EPFL community is welcom
 e to attend specific lectures without registration if the topic is of i
 nterest to their research. Do not hesitate to contact the CECAM Event Man
 ager if you have any question.\n\nDescription\n\nBiological systems in Na
 ture are intrinsically out-of-equilibrium to maintain their structural com
 plexity and functional diversity. Similarly\, out-of-equilibrium dissipati
 ve colloidal systems subjected to an external energy injection often devel
 op nontrivial collective dynamics and self-organize into large scale struc
 tures\, which are far more complex than their equilibrium counterparts [1
 -17]. The main sources of such emergent behavior are the many-body dissip
 ative interactions between colloids (e. g. steric\, electrostatic\, magnet
 ic)\, the external energy injection\, and the coupling of particles dynami
 cs through the fluid flow around them. Collective dynamics and self-organ
 ization in out-of-equilibrium colloidal systems (often termed as active c
 olloids) is a rapidly growing area of research which led to the discovery 
 of novel dynamic architectures and functionalities that are not generally 
 available at equilibrium.\n Colloidal systems have been the subject of in
 tense research for a long time due to their ubiquitous technological appli
 cations. Colloidal particles display Brownian motion\, size in the visible
  wavelength and dynamics in experimentally accessible timeframes (millisec
 onds to seconds) making them an attractive platform for the experiments an
 d the computational modeling. The pair interactions between particles can 
 be easily adjusted in strength and range by applying relatively small exte
 rnal fields. When driven by external forces or an internal energy source\,
  colloids can mimic motile biological entities and can serve as a testbed 
 for exploring the rich and complex physics of out-of-equilibrium systems. 
 These dissipative colloidal structures utilize energy to generate and main
 tain structural complexity. Experiments and numerical simulations along th
 is line of research have often revealed nontrivial collective dynamics and
  emergent large-scale structures [1-17]. With the proposed workshop we w
 ould like to provide a platform for discussing several new and important t
 rends in this field of active colloidal materials\, that is\, chirality\, 
 non-reciprocity\, and memory.\nA recent hot trend in the field of active c
 olloids explores the emergence of coherent motion and self-organization in
  systems with chirality [5-11]. Chirality is an intrinsic fundamental pro
 perty of many natural and synthetic systems. Colloidal particles driven by
  external torques [12-18] constitute an ideal model system to investigate
  these phenomena since they avoid the inherent complexity of biological ac
 tive matter. Spinning   particles dispersed in a fluid represent a spec
 ial class of artificial active systems that inject vorticity at the micro
 scopic level [19-25]. Dense collections of interacting spinning pa
 rticles represent a chiral fluid [26]\, which breaks parity and time
 -reversal symmetries\, and displays a novel viscosity feature called the o
 dd viscosity and elasticity [27\, 28]. The odd viscosity has been identif
 ied in interacting chiral spinners [29]\, and it led to remarkable effect
 s such as production of flow perpendicular to the pressure [27]\, topologi
 cal waves [30]\, or the emergence of edge currents [29]. Magnetic rollers
  dynamically assemble into a vortex under harmonic confinement\, that spo
 ntaneously selects a sense of rotation and is capable of chirality switchi
 ng [31\,32]. Multiple motile vortices unbound from any confinement have be
 en revealed in ensembles of magnetic rollers powered by a uniaxial field 
 [33]. Oscillating chiral flows were generated when a roller liquid was cou
 pled to fixed obstacles [34]. There has been an increasing effort to inve
 stigate collective phenomena in systems composed of    chiral active u
 nits [11\, 35-40]. Synchronized self-assembled magnetic spinners at the li
 quid interface revealed structural transitions from liquid to nearly crys
 talline states and demonstrated reconfigurability coupled to a self-heali
 ng behavior [41]. Activity-induced synchronization leading to a mutual flo
 cking\, and chiral self- sorting has been observed in modeled ensembles o
 f self-propelled circle swimmers [42]. Shape anisotropic particles powere
 d by the Quincke phenomenon led to the realization of chiral rollers (simi
 lar to circle swimmers) with spontaneously selected handedness of their m
 otion and activity-dependent curvature of trajectories [43].\nAnother fas
 t-developing direction in the field of non-equilibrium active and driven c
 olloids is the realization of systems characterized by non-reciprocity of 
 interactions or memory effects and how they can lead to emerging collectiv
 e phenomena. Due to the intrinsic nonequilibrium nature of active systems\
 , the couplings between particles often deviate from the standard form der
 ivable from a Hamiltonian. One intriguing example is a time-delayed coupli
 ng involving a discrete delay time (or a distribution of such times). Such
  a situation arises\, for example\, through a delay in communication or se
 nsing\, and can be artificially created via a feedback loop [44]. Another 
 topic attracting a lot of attention in the community is based on active sy
 stems with nonreciprocal couplings that can arise\, for example\, through 
 chemotaxis or phoretic interactions between self-propelling colloids [45]\
 , or through predator-prey or vision-cone interactions [46\,47] in macrosc
 opic active systems. On the collective level\, is now well established tha
 t non-reciprocity can induce new types of phase transitions [48] and patte
 rns with broken time- and parity symmetry\, including travelling patterns 
 [49\,50] and globally chiral motion without chirality of the individual co
 nstituents [51]. While many of these studies have been pursued only at a m
 ean field-theoretical level\, there is also an increasing interest in unde
 rstanding corresponding particle-scale effects\, that can only be accessed
  by numerical simulations [52] or corresponding experiments. For example\,
  non-reciprocal interactions may generate new types of self-assembled syst
 ems able to learn and to produce transition between different shapes [53].
  Establishing the precise connection between the different length and time
  scales is still an important challenge. Here\, computer simulations are a
 n indispensable tool.\nMany standard models of active motion implicitly as
 sume an inert (equilibrium) environment yielding instantaneous friction an
 d noise. In contrast\, several recent studies [54\,19] explore the impact 
 of retarded friction as it arises in viscoelastic environments made\, e.g.
 \, of polymers\, liquid crystals\, or biological tissues [55-57]. An extre
 me case is time-delay [44]. From a theoretical and computational perspecti
 ve\, retarded friction or\, more generally\, non-Markovian dynamics\, stil
 l provides a severe challenge. This concerns\, e.g.\, the extraction (or m
 odelling) of memory kernels\, but also the actual solution of the coupled 
 equations of motion\, each being subject to history effects. As a conseque
 nce\, only few studies on the emerging collective behavior of active parti
 cles with memory are currently available\, including collective effects in
  systems of feedback-driven colloids [58] and pattern formation in a non-N
 ewtonian active system [59]. Advancing numerical methods capable of treati
 ng memory effects will become more and more important in view of the recen
 t experimental progress in this field. Experimentally\, the memory effects
  in the system can be induced\, e.g.\, by temporal activity modulations at
  intermediate timescales of the interactions in the colloidal ensemble [60
 ]. Such modulations generate active particles with partial memory (at the 
 particle level) of their motion from the previous activity cycles (either 
 through partial depolarization or remnant hydrodynamic flows induced by th
 e particle motion). Novel dynamic patterns (such as localized multiple vor
 tices\, flocks\, pulsating lattices) has been revealed in ensembles of Qui
 nke rollers [60\,61]. When coupled to the fluid flows\, active particle wi
 th memory can produce activity shockwaves [62]. Also\, it has been recentl
 y demonstrated that active colloidal ensembles realized by Quinke rollers 
 can effectively develop “ensemble memory”\, where the information abou
 t the dynamic state of the system is distributed over the whole ensemble [
 63]. This information can be effectively exploited to command subsequent c
 ollective polar states of the active colloidal ensemble through activity c
 ycling [63] and can pave the way toward direct applications in different t
 echnological fields related to microfluidics and microrobotics.\nDevelopin
 g fundamental understanding of the complex colloidal dynamics in systems d
 riven out-of-equilibrium by external fields represents a significant theo
 retical and computational challenge as it involves multi-body interactions
 \, the overlapping of length- and timescales\, and the coupling of particl
 e interactions with the fluid flow. Some of the features may be understood
  using phenomenological using continuum descriptions [21-23] Nevertheless
 \, the microscopic mechanisms leading   to the dynamic self-assembly an
 d their relations to the emergent behavior in active colloidal fluids with
  chirality\, non-reciprocal interactions\, and memory often remain unclear
 . Computer simulations are practically the only method to theoretically i
 nvestigate such questions. However\, modeling of the nonequilibrium dyna
 mics presents a formidable computational challenge due to the complex many
 - body interactions and collective dynamics at different time and lengths
  scales. One of the main challenges is to properly account for the partic
 le-fluid coupling. On a coarse-grained level\, the fluid flow around collo
 ids is modeled by molecular dynamics methods like Lattice-Boltzmann [64] 
 and Multi Particle Collision Dynamics [65\,66]. An alternative approach i
 s to describe the colloidal dynamics by molecular dynamics simulation\, or
  an amplitude equation (Ginzburg-Landau type equation) coupled to the Nav
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