Changing Functional Material Properties Without Changing Chemistry

What if material behavior could be changed without changing chemistry? This project presents reproducible, quantitative measurements of distinct functional dynamical properties in chemically identical material specimens. The experimental results underlying this project are archived on Zenodo (DOI: https://doi.org/10.5281/zenodo.17956872 ). The scientific objective of this project is to establish whether functional material dynamics can be reproducibly prepared, measured, and tuned at the level of soft matter. At the same time, the project is motivated by the broader question of how such material-level properties may be relevant for non-chemical, low-burden human-centered application contexts. BACKGROUND In materials science, material properties are often discussed primarily in terms of chemical composition and molecular structure. However, many practically relevant properties—such as damping, filtering, memory, or synchronization—are determined by the organization of dynamics within the material rather than by chemistry alone. At the human level, many difficulties do not arise from lack of motivation or knowledge, but from instability at the moment of action: intentions formed earlier fail to remain accessible when automatic or habitual responses take over. This gap between intention and action represents a structural problem rather than a motivational one. This project is motivated by the hypothesis that engineered material dynamics may provide a new class of physical substrates relevant to such problems, provided these dynamics can be reliably prepared, measured, and reproduced. WHAT WE MEAN BY “FUNCTIONAL PROPERTIES” In this project, “functional properties” refer to reproducible, task-relevant dynamical behaviors of a material that can be measured, compared to chemically identical controls, and falsified under a fixed protocol. These properties are defined at the level of spatiotemporal dynamics rather than chemical composition. Examples of functional properties defined by dynamics include: damping, determined by relaxation dynamics; noise filtering, determined by spectral response; material memory, determined by temporal correlations; synchronization, determined by phase relationships. Such properties are commonly treated as functional in physics and engineering without requiring changes in chemical formulation. The present work applies this definition to correlation-structured dynamics in soft matter. WHAT IS QUFIT IN THIS PROJECT In the context of this project, Qufit refers to a wax-based sensory material used as a reproducible soft-matter platform for studying functional dynamical properties. The material is formulated as a solid stick to support consistent preparation, handling, and surface contact. This format enables reproducible material thickness, stable boundary conditions, and repeatable interaction during measurement. Within this project, Qufit is used as a material interface intended to provide a continuous, passive sensory reference. One application context motivating this design is the support of intention persistence, understood here as the availability of a previously formed intention during everyday activity. Importantly, intention is considered at the level of interaction structure rather than outcome. The project does not evaluate behavioral change or effectiveness; instead, it investigates whether material systems with stable and reproducible dynamical properties can serve as platforms for applications in which maintaining intention continuity is relevant. Qufit does not contain pharmacologically active ingredients and is not intended to alter chemical, biological, or physiological pathways. Within this work, it is treated strictly as a material system whose physical state and dynamical behavior can be prepared, compared, and measured under standardized conditions. WHAT IS STUDIED IN THIS PROJECT We study chemically identical material specimens produced from the same batch and handled under identical conditions. The only difference between structured and control samples lies in their physical preparation state. Material behavior is analyzed using time-resolved optical speckle measurements. Quantified observables include power spectral density, spatial and temporal autocorrelation, phase-locking value, anisotropy, effective correlation length, and temporal stability metrics. Measurements are performed using fixed acquisition settings and predefined exclusion and falsification criteria. DESIGN BOUNDARIES This project is limited to establishing physical and functional material properties. No biological, physiological, pharmacological, or therapeutic effects are claimed or investigated. CONTEXT: EVENT-BASED SIGNALING APPROACHES Many existing support systems rely on event-based signaling, in which cues are delivered in response to detected conditions or inferred states. Such approaches are widely used in interactive and wearable technologies. While effective in certain contexts, event-based systems depend on detection accuracy and timing. In situations where the critical moment precedes any clear external signal, such approaches may be limited in engaging at the point where support would be most relevant. ADVANTAGES OF A MODEL-INDEPENDENT SENSORY SIGNAL A key advantage of a material-based sensory interface is its relative independence from event-detection models. Because the signal is continuously present, it does not rely on classification, thresholds, or predictive models to determine when it should act. Instead of intervening at inferred moments, it operates by shaping baseline interaction conditions. As a result: reliance on moment-specific detection is reduced; the signal is less likely to be perceived as mistimed or irrelevant; habituation associated with repeated false triggers is less likely to develop. In this sense, Qufit does not aim to correct behavior at specific moments. It addresses a complementary layer of the problem: supporting the persistence of intention without requiring correct inference of a critical event. ADDITIONAL FUNCTIONAL ADVANTAGES Beyond independence from prediction and detection models, material-based sensory interfaces may provide additional functional advantages at the level of interaction dynamics. By providing a stable, continuous sensory reference, such systems may reduce non-specific background drive and attenuate impulsive or habitual impulses that are not aligned with a previously formed intention. Rather than suppressing any particular signal, the effect arises from improved differentiation between deliberate intent and automatic impulses. In this framework, support does not occur through inhibition or control, but through stabilization of the decision context. This may reduce the likelihood that transient impulses dominate behavior, while preserving the ability to respond to genuine needs when they arise. Importantly, this work does not assess appetite, hunger, or physiological satiety. The described advantages refer to interaction-level and cognitive-context effects rather than biological regulation. SCOPE OF THE UPLOADED MANUSCRIPT The archived manuscript reports material-level measurements and quantitative analysis only. ARCHIVAL RECORD The primary archival record of the associated manuscript is available on Zenodo: https://doi.org/10.5281/zenodo.17956872