{"id":8,"date":"2025-07-15T13:04:20","date_gmt":"2025-07-15T13:04:20","guid":{"rendered":"https:\/\/www.atledtechnology.com\/?page_id=8"},"modified":"2026-04-18T13:13:59","modified_gmt":"2026-04-18T13:13:59","slug":"about","status":"publish","type":"page","link":"https:\/\/www.atledtechnology.com\/index.php\/about\/","title":{"rendered":"About"},"content":{"rendered":"\n<!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\n     Luca Ricci \u2014 Author Page  |  atledtechnology.com (Nothing Style)\n     Paste into WordPress > Custom HTML block\n     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class=\"na-subtitle\">PhD Researcher &nbsp;&middot;&nbsp; KU Leuven &nbsp;&middot;&nbsp; Nanomaterials &amp; Neuromorphic Computing<\/div>\n    <div class=\"na-tags\">\n      <span class=\"na-tag\">MXene Nanocomposites<\/span>\n      <span class=\"na-tag\">Neuromorphic Hardware<\/span>\n      <span class=\"na-tag\">Artificial Intelligence<\/span>\n      <span class=\"na-tag\">Robotics<\/span>\n      <span class=\"na-tag\">Sustainable Technology<\/span>\n    <\/div>\n  <\/div>\n\n  <!-- Body -->\n  <div class=\"na-body\">\n\n    <!-- Contact bar -->\n    <div class=\"na-contact\">\n      <a href=\"mailto:luca.ricci@atledtechnology.com\" class=\"na-contact-chip\">\n        <span class=\"na-contact-chip-icon\">\u2709<\/span>\n        <span class=\"na-contact-label\">Email<\/span>\n        <span class=\"na-contact-value\">luca.ricci@atledtechnology.com<\/span>\n      <\/a>\n      <a href=\"https:\/\/www.atledtechnology.com\" target=\"_blank\" rel=\"noopener noreferrer\" class=\"na-contact-chip\">\n        <span class=\"na-contact-chip-icon\">\u2b21<\/span>\n        <span class=\"na-contact-label\">Web<\/span>\n        <span class=\"na-contact-value\">atledtechnology.com<\/span>\n      <\/a>\n      <a href=\"https:\/\/github.com\/lucaricciatl\/nanomorphic-research\" target=\"_blank\" rel=\"noopener noreferrer\" class=\"na-contact-chip\">\n        <span class=\"na-contact-chip-icon\">\u2325<\/span>\n        <span class=\"na-contact-label\">GitHub<\/span>\n        <span class=\"na-contact-value\">nanomorphic-research<\/span>\n      <\/a>\n    <\/div>\n\n    <!-- Biography -->\n    <div class=\"na-section\">\n      <div class=\"na-section-header\">\n        <div class=\"na-section-dot\"><\/div>\n        <h2>Biography<\/h2>\n        <div class=\"na-section-line\"><\/div>\n      <\/div>\n      <p>\n        Luca Ricci is a doctoral researcher at KU Leuven, where his work centres on the\n        development of MXene-based nanocomposite materials for neuromorphic computing\n        applications. He holds a Master&rsquo;s degree in Artificial Intelligence and brings over\n        three years of research experience in robotics systems, providing him with a\n        distinctive perspective that spans theoretical materials science, computational\n        modelling, and applied intelligent systems.\n      <\/p>\n      <p>\n        His interdisciplinary profile bridges experimental nanoscience and the formal study\n        of brain-inspired computation, with a particular focus on exploiting the intrinsic\n        memristive and conductive properties of two-dimensional transition metal carbides.\n      <\/p>\n    <\/div>\n\n    <!-- Research -->\n    <div class=\"na-section\">\n      <div class=\"na-section-header\">\n        <div class=\"na-section-dot\"><\/div>\n        <h2>Research<\/h2>\n        <div class=\"na-section-line\"><\/div>\n      <\/div>\n      <p>\n        Ricci&rsquo;s primary research investigates Ti&#8323;C&#8322;T&#8339; MXene synthesised and dispersed\n        within polyvinyl alcohol (PVA) matrices &mdash; including structures formed from\n        100 picolitre PVA nanodroplets &mdash; as functional substrates for neuromorphic device\n        architectures. A central theme of this work is the quantitative modelling of electron\n        tunnelling between MXene flakes and lamellae, connecting atomic-scale conductance\n        mechanisms to emergent memristive behaviour observable at the device level.\n      <\/p>\n      <p>\n        On the computational side, he develops molecular dynamics simulation frameworks to\n        characterise ionic intercalation dynamics, thermal transport, and electrostatic field\n        distributions in nanostructured materials. This includes applying percolation theory\n        to composite films and studying how flake morphology and interlayer spacing govern\n        collective electronic properties.\n      <\/p>\n      <p>\n        Ricci is equally invested in the development of AI agent architectures and self-hosted\n        computational infrastructure to support reproducible, automated research pipelines.\n        His open-source work on neuromorphic research is hosted publicly on GitHub.\n      <\/p>\n    <\/div>\n\n    <!-- Research Interests -->\n    <div class=\"na-section\">\n      <div class=\"na-section-header\">\n        <div class=\"na-section-dot\"><\/div>\n        <h2>Research Interests<\/h2>\n        <div class=\"na-section-line\"><\/div>\n      <\/div>\n      <p>\n        His principal research interests include MXene chemistry and surface functionalisation,\n        memristive and synaptic device engineering, molecular dynamics simulation of ionic and\n        electronic transport, percolation phenomena in nanocomposite films, and the application\n        of Maxwell&rsquo;s equations to nanoscale electrostatic modelling. He is further interested\n        in the theoretical foundations of neural network architectures and their physical\n        implementation in hardware.\n      <\/p>\n    <\/div>\n\n    <!-- Mission -->\n    <div class=\"na-section\">\n      <div class=\"na-section-header\">\n        <div class=\"na-section-dot\"><\/div>\n        <h2>Mission<\/h2>\n        <div class=\"na-section-line\"><\/div>\n      <\/div>\n      <p>\n        Beyond device-level research, Ricci is motivated by the prospect of deploying\n        neuromorphic and AI-driven technologies toward measurable sustainability outcomes\n        &mdash; integrating advances from electrical engineering, robotics, and materials science\n        to address systemic challenges in the European research and industrial landscape. He\n        approaches problems with rigorous analytical depth while maintaining an orientation\n        toward practical, translatable impact.\n      <\/p>\n    <\/div>\n\n  <\/div>\n\n  <!-- Footer -->\n  <div class=\"na-footer\">\n    &copy; 2026 Luca Ricci &nbsp;&mdash;&nbsp; Atled Technology\n  <\/div>\n\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>LR Luca Ricci PhD Researcher &nbsp;&middot;&nbsp; KU Leuven &nbsp;&middot;&nbsp; Nanomaterials &amp; Neuromorphic Computing MXene Nanocomposites Neuromorphic Hardware Artificial Intelligence Robotics Sustainable Technology \u2709 Email luca.ricci@atledtechnology.com \u2b21 Web atledtechnology.com \u2325 GitHub nanomorphic-research Biography Luca Ricci is a doctoral researcher at KU Leuven, where his work centres on the development of MXene-based nanocomposite materials for neuromorphic computing [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-8","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.atledtechnology.com\/index.php\/wp-json\/wp\/v2\/pages\/8","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.atledtechnology.com\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.atledtechnology.com\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.atledtechnology.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.atledtechnology.com\/index.php\/wp-json\/wp\/v2\/comments?post=8"}],"version-history":[{"count":12,"href":"https:\/\/www.atledtechnology.com\/index.php\/wp-json\/wp\/v2\/pages\/8\/revisions"}],"predecessor-version":[{"id":263,"href":"https:\/\/www.atledtechnology.com\/index.php\/wp-json\/wp\/v2\/pages\/8\/revisions\/263"}],"wp:attachment":[{"href":"https:\/\/www.atledtechnology.com\/index.php\/wp-json\/wp\/v2\/media?parent=8"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}