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Field- and frequency-tunable magnon–phonon resonances in arrays of ferromagnetic nanostripes
Get PDFThe coupling of lattice and magnetization dynamics is a topic of growing interest, with significant implications for novel solid-state technologies. In this work, we investigate arrays of ferromagnetic Fe/Permalloy nanostripes. A time-resolved optical approach enables the study of magnonic and phononic excitations, as well as their coupling at mode crossings. The field-dependent frequencies were also measured using Brillouin light scattering spectroscopy and corroborated by micromagnetic simulations for different in-plane directions of an external magnetic field. We find that the acoustic and magnonic excitations can be tuned in frequency and magnetic field by adjusting the array periodicity, filling ratio, as well as the orientation of the nanostripes relative to the external field. Additionally, we discuss the presence of features in the signal intensity at the magnon–phonon crossings, introduced by dynamical phase effects due to the impulsive coherent excitation
Visualizing strongly focused 3D light fields in an atomic vapor
Get PDFStructured light, when strongly focused, generates highly confined vectorial electromagnetic field distributions, which may feature a polarization component along the optical axis. Manipulating and detecting such 3D light fields is challenging, as conventional optical elements and detectors do not interact with the axial polarization component. Vector light can, however, be mapped onto atomic polarizations, making electric dipole transitions an ideal candidate to sense such 3D light configurations. Working in the hyperfine Paschen–Back regime, where the electric dipole transitions are spectrally resolved, we demonstrate direct evidence of the axial polarization component of strongly focused radial light. We investigate the influence of various input polarization states, including radial, azimuthal, and higher-order optical vortices, on atomic absorption profiles. Our results confirm a clear mapping between the 3D vector light and the atomic transition strength. This work provides insights into vectorial light–matter interaction and opens avenues for quantum sensing applications
AI as Character: Real Patterns in Fictive Interactions
No full textThis article develops a cognitive-narratological approach to human–AI interaction, introducing a fictionality-based framework that integrates insights from cognitive narratology, philosophy of mind, media theory, and cognitive science. Rather than addressing debates on AI’s hypothetical consciousness, it examines observable patterns of engagement, focusing on how users interpret and interact with AI agents as fictional yet agentive artefacts. Through case studies - including a Laura Palmer chatbot (based on Twin Peaks) and dialogues with Claude and ChatGPT - the analysis distinguishes between designed and emergent forms of fictionality and focuses on dimensions of immersivity and emersivity in human-AI patterns of relation. The article further considers AI as a tool for extended introspection, analysing how conversational interaction can scaffold self-reflection and imaginative cognition. By conceptualising AI simultaneously as a technological artefact and a fictional character, it re-examines the epistemological and phenomenological dimensions of artificial minds. Synthesising cognitive and narrative theories of personification, agency, and the intentional stance, the study proposes a framework for analysing AI as a relational process of mind-making and world-probing
High Performance Computing. ISC High Performance 2024 International Workshops: Hamburg, Germany, May 12–16, 2024, Revised Selected Papers
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Interdisciplinary Mind Modeling: Exploratory Cycles in Cognitive Science, Narrative Theory, and Fictional Creativity
No full textThis chapter proposes interdisciplinary mind modeling as a new framework for coupling the cognitive sciences, narrative theory, and fictional creativity through shared modeling practices. It argues that both scientists and fiction writers construct purposeful, selective, and simplified representations of the mind—models that serve exploratory rather than purely descriptive functions. Drawing on philosophy of science debates between the “fiction view of models” and the “modeling view of fiction,” the chapter advances the latter, contending that fictional narratives operate as autonomous cognitive models. Through examples from Beckett, Joyce, and Woolf, it shows how literary modeling of processes such as mind wandering and inner speech can both complement and challenge scientific accounts, generating what Bernini terms “exploratory cycles.” These cycles describe iterative loops in which conceptual, empirical, and fictional models inform and refine each other. The chapter also reinterprets structuralist narratology and cognitive literary theory as modeling traditions, linking creative and analytical modeling through shared epistemic drives. The conclusion outlines an ethos of co-modeling and operational empathy, calling for collaborative ecologies that sustain long-term interdisciplinary exchanges. As the theoretical and pragmatic manifesto of the Narrative and Cognition Lab, the chapter envisions mind research as a collective modeling enterprise across disciplinary boundaries
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