Laser-written reconfigurable energy landscapes and programmable Moiré spin textures
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , |
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| Format: | Preprint |
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2026
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| _version_ | 1866908974147698688 |
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| author | Panzeri, Matteo Florio, Piero Girardi, Davide Urrestarazu, Joseba Sala, Giacomo Pellizzi, Nicola Vitali, Matteo Madami, Marco Mavilla, Luca Ciaccarini Tacchi, Silvia Riedo, Elisa Meo, Andrea Puliafito, Vito Carpentieri, Mario Tomasello, Riccardo Ersoy, Efe Wagner, Kai Maletinsky, Patrick Boulle, Olivier Albisetti, Edoardo Petti, Daniela |
| author_facet | Panzeri, Matteo Florio, Piero Girardi, Davide Urrestarazu, Joseba Sala, Giacomo Pellizzi, Nicola Vitali, Matteo Madami, Marco Mavilla, Luca Ciaccarini Tacchi, Silvia Riedo, Elisa Meo, Andrea Puliafito, Vito Carpentieri, Mario Tomasello, Riccardo Ersoy, Efe Wagner, Kai Maletinsky, Patrick Boulle, Olivier Albisetti, Edoardo Petti, Daniela |
| contents | Magnetic textures are central to emerging spintronic and unconventional computing technologies due to their rich dynamics, topological properties and nanoscale dimensions. A major challenge remains achieving tunable, reversible, and spatially resolved control over these textures and their evolution as a function of external stimuli, by spatially reprogramming the magnetic energy landscape that governs their nucleation and stability. Here, we exploit a focused laser-assisted local field cooling technique that establishes a fast, non-contact and scalable platform for grayscale spin texture engineering. By non-destructively controlling the exchange-bias anisotropy with nanoscale resolution in thin-film heterostructures, this approach enables grayscale, reprogrammable control of the local energy profile, which we use to create magnetic patterns with highly controlled hysteresis, field-dependent readability and tunable switching thresholds. Leveraging this capability, we demonstrate information encoding with magnetic field-gated readability, and artificial spin metamaterials, stabilizing spin lattices with field-reconfigurable symmetries and creating artificial Moiré spin textures via the geometric superposition of twisted magnetic potentials. These results establish a versatile, reprogrammable platform that bridges the gap between application-oriented magnetic memory and fundamental studies of emergent order in artificial lattices. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_16120 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Laser-written reconfigurable energy landscapes and programmable Moiré spin textures Panzeri, Matteo Florio, Piero Girardi, Davide Urrestarazu, Joseba Sala, Giacomo Pellizzi, Nicola Vitali, Matteo Madami, Marco Mavilla, Luca Ciaccarini Tacchi, Silvia Riedo, Elisa Meo, Andrea Puliafito, Vito Carpentieri, Mario Tomasello, Riccardo Ersoy, Efe Wagner, Kai Maletinsky, Patrick Boulle, Olivier Albisetti, Edoardo Petti, Daniela Materials Science Magnetic textures are central to emerging spintronic and unconventional computing technologies due to their rich dynamics, topological properties and nanoscale dimensions. A major challenge remains achieving tunable, reversible, and spatially resolved control over these textures and their evolution as a function of external stimuli, by spatially reprogramming the magnetic energy landscape that governs their nucleation and stability. Here, we exploit a focused laser-assisted local field cooling technique that establishes a fast, non-contact and scalable platform for grayscale spin texture engineering. By non-destructively controlling the exchange-bias anisotropy with nanoscale resolution in thin-film heterostructures, this approach enables grayscale, reprogrammable control of the local energy profile, which we use to create magnetic patterns with highly controlled hysteresis, field-dependent readability and tunable switching thresholds. Leveraging this capability, we demonstrate information encoding with magnetic field-gated readability, and artificial spin metamaterials, stabilizing spin lattices with field-reconfigurable symmetries and creating artificial Moiré spin textures via the geometric superposition of twisted magnetic potentials. These results establish a versatile, reprogrammable platform that bridges the gap between application-oriented magnetic memory and fundamental studies of emergent order in artificial lattices. |
| title | Laser-written reconfigurable energy landscapes and programmable Moiré spin textures |
| topic | Materials Science |
| url | https://arxiv.org/abs/2604.16120 |