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DTSTART;TZID=Europe/Paris:20260922T140000
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DTSTAMP:20260910T151656Z
CREATED:20260910T151623Z
LAST-MODIFIED:20260910T151656Z
UID:10000246-1790085600-1790089200@sfp-alpes.fr
SUMMARY:Joseph KIOSEOGLOU (Department of Physics\, Aristotle University of Thessaloniki\, Greece)
DESCRIPTION:Atomistic & AI Discovery of Functional Nanomaterials & Thin Films\nRésumé : \nFunctional nanomaterials and thin films play a central role in emerging technologies for microelectronics\, optoelectronics\, energy conversion\, sensing\, and health-related applications. Their properties are often governed by atomic-scale mechanisms\, including defects\, dopant incorporation\, surface and interface stability\, strain fields\, morphology evolution\, growth pathways\, and phase transformations. In this seminar\, predictive atomistic modelling strategies will be presented as a way to connect these mechanisms with experimentally measurable properties and data-driven materials design. Selected examples will include semiconductors\, oxide materials\, nanowires\, nanoparticles\, low-dimensional systems\, and bio-related/pharmaceutical materials\, with emphasis on first-principles calculations\, molecular dynamics\, interatomic potentials\, machine-learning interatomic potentials\, and microscopy-informed simulations. Recent opportunities opened by artificial intelligence and generative modelling\, including sustainable-by-design materials discovery\, will also be discussed. These approaches enable the exploration of large chemical and structural spaces\, the simultaneous optimization of multiple properties\, and the proposal of experimentally relevant candidate materials. The broader perspective is to show how computation can move beyond interpretation and become part of a predictive\, collaborative workflow integrating modelling\, synthesis\, characterization\, and materials optimization for next-generation functional materials. \nShort Bio/CV\nPr. Joseph Kioseoglou research focuses on atomistic modelling\, first-principles calculations\, molecular dynamics\, machine-learning interatomic potentials\, and AI-assisted materials design\, with applications to semiconductors\, oxide materials\, nanostructures\, thin films\, surfaces\, interfaces\, defects\, nanoparticles\, and bio-related/pharmaceutical materials. He has coordinated and participated in numerous European and national research projects and has extensive experience in doctoral supervision\, international scientific collaborations and conference organization. He has held visiting professor/research positions in France\, Germany\, Japan\, including Grenoble INP/LMGP. \n_ \nContact : deborah.verger@grenoble-inp.fr
URL:https://sfp-alpes.fr/event/joseph-kioseiglou-department-of-physics-aristotle-university-of-thessaloniki-greece/
LOCATION:LMGP – salle des séminaires\, Grenoble INP -Phelma 3 parvis Louis Néel\, Grenoble\, 38054\, France
CATEGORIES:Séminaire
ORGANIZER;CN="LMGP":MAILTO:deborah.verger@grenoble-inp.fr
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DTSTART;TZID=Europe/Paris:20260929T140000
DTEND;TZID=Europe/Paris:20260929T150000
DTSTAMP:20260910T152942Z
CREATED:20260910T152942Z
LAST-MODIFIED:20260910T152942Z
UID:10000248-1790690400-1790694000@sfp-alpes.fr
SUMMARY:Natali PLANK (School of Chemical and Physical Sciences and the MacDiarmid Institute for Advanced Materials and Nanotechnology\, Victoria University of Wellington\, New Zealand)
DESCRIPTION:Nanowire and carbon nanotube device structures for Biosensors and Artificial Neural Networks\nRésumé : \nCarbon nanotube (CNT) networks offer a particularly attractive platform due to their simple fabrication\, tunable electronic properties\, and ability to be interrogated through multiple electrical contacts on a single chip [1]. Functionalised carbon nanotube and graphene field effect transistors (CNTFETs and GFETs) have been used as the active channel in biosensors\, with the future promise of lab-on-a-chip diagnostics strongly motivating the research [2]. The ability to effectively sense analytes depends on multiple factors\, the conductivity of the platform [3]\, the robustness of the functionalisation and the selectivity and function of the receptor [4]. \nCarbon nanotubes also offer an interesting base platform for neuromorphic computing via physical reservoirs. Physical reservoir computing exploits the intrinsic dynamics of complex materials to perform temporal information processing with low power consumption and minimal training requirements. Disordered networks of memristive nanowires have emerged as promising neuromorphic architectures\, as they can host large numbers of nonlinear junctions that collectively generate rich spatiotemporal dynamics [5-7]. \nHere I will present our recent work on the development of the CNTFET and GFET platforms with aptamers and insect odorant receptors and the different challenges and device constraints we have encountered. I will also present our work on the development of the CNT platform for physical reservoir computing applications. \n[1]      Topinka\, M. A\, et al. Nano Lett. 2009 9\, 1866–1871 \n[2]      T An et al\, Lab Chip\, 2010\,10\,2052-2056 \n[3]      M Thanihaichelvan M\, et al\, Biosensors and Bioelectronics\, 2019\, 130\, 408-413 \n[4]      Nguyen et al.\, Nanomaterials\, 2021 11 (9)\, 2280 \n[5]      Milano\, G\, et al. Nat. Mater. 2022\, 21 (2)\, 195–202. \n[6]      Kotooka\, T.\, et al. Thermally Stable Ag 2 Se Nanowire Network as an Effective In-Materio Physical Reservoir Computing Device. 2024\, 2400443\, 1–10.  \n[7]      Zhu\, R.\, et al Online Dynamical Learning and Sequence Memory with Neuromorphic Nanowire Networks. Nat. Commun. 2023\, 14 (1)\, 6697.  \n\nShort Bio/CV\nDr Natalie Plank is Deputy Director for Commercialisation and Industry Engagement and an Associate Professor in Physics in the School of Chemical and Physical Sciences at Victoria University of Wellington. Natalie completed a BSc (Hons) in Astrophysics at The University of Edinburgh before doing an MSc in Microelectronics. She then completed her PhD on the functionalisation of carbon nanotubes for molecular electronics with Rebecca Cheung also at The University of Edinburgh. \nNatalie’s research interests are in the area of nanomaterial device fabrication and the characterisation of novel materials. Her current work focuses on nanomaterial device platforms for sensing technology and artificial neural networks. She is interested in carbon nanotubes and ZnO nanowires for nanowire transistor applications and in particular the ability to functionalise the nanomaterial channels with specific biomarkers or memristive molecules. Natalie’s core interests are in low cost fabrication techniques which allow for high throughput of devices whilst maintaining the particular material properties of the unique nanowire system. \n_ \nContact : deborah.verger@grenoble-inp.fr
URL:https://sfp-alpes.fr/event/natali-plank-school-of-chemical-and-physical-sciences-and-the-macdiarmid-institute-for-advanced-materials-and-nanotechnology-victoria-university-of-wellington-new-zealand/
LOCATION:LMGP – salle des séminaires\, Grenoble INP -Phelma 3 parvis Louis Néel\, Grenoble\, 38054\, France
CATEGORIES:Séminaire
ORGANIZER;CN="LMGP":MAILTO:deborah.verger@grenoble-inp.fr
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