Tootfinder

Measuring Implicit Spatial Coordination in Teams: Effects on Collective Intelligence and Performance
Thuy Ngoc Nguyen, Anita Williams Woolley, Cleotilde Gonzalez
https://arxiv.org/abs/2509.09314

Measuring Implicit Spatial Coordination in Teams: Effects on Collective Intelligence and Performance
Coordinated teamwork is essential in fast-paced decision-making environments that require dynamic adaptation, often without an opportunity for explicit communication. Although implicit coordination has been extensively considered in the existing literature, the majority of work has focused on co-located, synchronous teamwork (such as sports teams) or, in distributed teams, primarily on coordination of knowledge work. However, many teams (firefighters, military, law enforcement, emergency respon…

Evaluating the Clinical Safety of LLMs in Response to High-Risk Mental Health Disclosures
Siddharth Shah, Amit Gupta, Aarav Mann, Alexandre Vaz, Benjamin E. Caldwell, Robert Scholz, Peter Awad, Rocky Allemandi, Doug Faust, Harshita Banka, Tony Rousmaniere
https://arxiv.org/abs/2509.08839

Evaluating the Clinical Safety of LLMs in Response to High-Risk Mental Health Disclosures
As large language models (LLMs) increasingly mediate emotionally sensitive conversations, especially in mental health contexts, their ability to recognize and respond to high-risk situations becomes a matter of public safety. This study evaluates the responses of six popular LLMs (Claude, Gemini, Deepseek, ChatGPT, Grok 3, and LLAMA) to user prompts simulating crisis-level mental health disclosures. Drawing on a coding framework developed by licensed clinicians, five safety-oriented behaviors w…

Shape-specific fluctuations of an active colloidal interface
Arvin Subramaniam, Tirthankar Banerjee, Rajesh Singh
https://arxiv.org/abs/2509.08567 https://…

Shape-specific fluctuations of an active colloidal interface
Motivated by a recently synthesized class of active interfaces formed by linked self-propelled colloids, we investigate the dynamics and fluctuations of a phoretically (chemically) interacting active interface with roto-translational coupling. We enumerate all steady-state shapes of the interface across parameter space and identify a regime where the interface acquires a finite curvature, leading to a characteristic C-shaped topology, along with persistent self-propulsion. In this phase, the in…

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Glass transition in colloidal monolayers controlled by light-induced caging
Abolfazl Ahmadirahmat, Michele Caraglio, Vincent Krakoviack, Thomas Franosch
https://arxiv.org/abs/2509.07726

Glass transition in colloidal monolayers controlled by light-induced caging
We theoretically investigate the glass-transition problem for a quasi-two-dimensional colloidal dense suspension modulated by a one-dimensional periodic external potential as imposed by interfering laser beams. Relying on a mode-coupling approach, we examine the nonequilibrium state diagram for hard disks as a function of the density and the period of the modulation for various potential strengths. The competition between the local packing and the distortion of the cages induced by the potentia…

Active Rosensweig Patterns
Carlo Rigoni, Max Philipp Holl, Alberto Scacchi, Emil Str{\aa}ka, Fereshteh Sohrabi, Mikko P. Haataja, Maria Sammalkorpi, Jaakko V. I. Timonen
https://arxiv.org/abs/2510.09099

Active Rosensweig Patterns
Ferrofluids, colloidal dispersions of magnetic nanoparticles, are renowned for pattern formation like few other materials. The Rosensweig instability of a horizontal ferrofluid-air interface in perpendicular magnetic field is especially well known classically, this instability sets the air-ferrofluid interface into an array of spikes that correspond to a new free energy minimum of the system. However, once the pattern is formed, it does not exhibit any notable thermal or non-equilibrium fluctua…

Patchy Particles Design: From Floppy Modes to Sloppy Dimensions
Gregory Snyder, Chrisy Xiyu Du
https://arxiv.org/abs/2510.08881 https://arxiv.org/pdf/2510.…

Patchy Particles Design: From Floppy Modes to Sloppy Dimensions
Patchy particles have proven to be a prominent model for studying the self-assembly behavior of various systems, ranging from finite clusters to bulk crystal assemblies, and from synthetic colloidal particles to viruses. The patchy particle model is flexible, but it also comes with its own pitfalls -- the potential design space is infinite. Many efforts have been put into building inverse-design frameworks that efficiently design patchy particles for targeted assembly behaviors. In contrast, li…

LAOStrain response of carbon black-polymer hydrogels: insights from rheo-TRUSAXS and rheo-electric experiment
Gauthier Legrand, Guilhem P. Baeza, William Ch\`evremont, S\'ebastien Manneville, Thibaut Divoux
https://arxiv.org/abs/2509.08966

LAOStrain response of carbon black-polymer hydrogels: insights from rheo-TRUSAXS and rheo-electric experiment
Colloid-polymer hydrogels are encountered in various applications, from flow batteries to drug delivery. Here, we investigate hydrogels composed of hydrophobic colloidal soot particles -carbon black (CB)- and carboxymethylcellulose (CMC), a food-grade polymer functionalized with hydrophobic groups binding physically to CB. As described in [Legrand et al., Macromolecules 56, 2298-2308 (2023)], CB-CMC hydrogels exist in two flavors: either electrically conductive when featuring a percolated netwo…

Tuning pair interactions in colloidal systems using random light fields
Augustin Muster, Diego Romero Abujetas, Frank Scheffold, Luis S. Froufe-P\'erez
https://arxiv.org/abs/2510.06793

Tuning pair interactions in colloidal systems using random light fields
We propose a method to tune interactions between absorptionless colloidal particle pairs. This is achieved via optimization of the spectral energy density of a homogeneous random optical field. Several standard and more exotic interaction potentials, as well as their negative counterparts, are shown to be successfully tuned. We show that the effective dimensionality of the space of potential functions that can be created by this means can reach up to several tens.

Comparing unsupervised learning methods for local structural identification in colloidal systems
Alptu\u{g} Ulug\"ol, Jessi B\"uckmann, Ruizhi Yang, Roy Hoitink, Alfons van Blaaderen, Frank Smallenburg, Laura Filion
https://arxiv.org/abs/2509.07186

Comparing unsupervised learning methods for local structural identification in colloidal systems
Quantifying local structures in self-assembled systems is a central challenge in soft matter and materials science. When no a priori knowledge of the relevant structures is available, traditional order parameters often fall short. Unsupervised machine learning provides a convenient route to autonomously uncover structural motifs directly from particle configurations. In this work, we systematically compare three popular dimensionality reduction techniques; Principal Component Analysis (PCA), Au…