. "Modelling and engineering of nanoscale materials"@en . . "6" . "Engineering applications rely more and more on highly specialized materials exhibiting unique\r\nfunctionalities. In recent years, for example, advanced functional materials such as hybrid\r\nperovskites, metal-organic frameworks, and covalent organic frameworks have proven\r\ninvaluable to overcome many of the challenges associated with the development of highperformance photovoltaics, efficient heat management systems or stimulus-responsive sensor\r\nmaterials. The rational design of such advanced functional materials requires insight at the\r\natomic level. In this respect, molecular modelling is an interdisciplinary field that allows gaining\r\ninformation on the physical phenomena that govern the behaviour of these materials at the\r nanoscale. It has attracted increasing interest due to the systematically growing computer\r\ncapabilities and the continuous optimization of physical models and numerical algorithms. The\r\napplication fields are very diverse, going from chemistry, molecular physics, solid-state physics,\r\nand materials physics to nanophysics.\r\nIn this course, nanoscale modelling techniques are introduced by building upon concepts from\r\nquantum mechanics, statistical physics, and atomic and molecular physics, focusing on the\r\napplicability of these concepts and the rational approximations necessary to model real-life\r\nnanostructured materials with industrial relevance. To model these nanosized functional\r\nmaterials, a variety of simulation techniques are discussed and applied in this course. These\r\nmodelling techniques vary from quantum mechanics based methods, which are ideally suited to\r\nstudy complex nanosystems of limited sizes or at restricted time scales, to classical force field\r\nbased methods, which are able to describe phenomena taking place on the microsecond scale\r\nin systems of several tens of nanometers in size. These techniques are then applied to study\r\nstructural, mechanical, spectroscopic, and thermal properties of molecules and solids. The\r\ncourse focuses on the development of functional materials for engineering applications in the\r\nconversion and storage of energy, the sensing of chemical and physical stimuli, and heat\r\nmanagement on the nanoscale. The student will learn to work with different software packages\r\nwhich are commonly used in scientific research.\nThe most common strategy to model nanoscale systems is to apply the Born-Oppenheimer\r\napproximation, in which the electronic and nuclear degrees of freedom are decoupled. The\r\nenergy of the system then reduces to a parametric function of the position of the atomic nuclei.\r\nThe resulting multidimensional energy hypersurface is referred to as the potential energy\r\nsurface (PES) and governs the structural flexibility of the considered material. This course\r\ndemonstrates how the PES can be constructed from quantum mechanical information\r\n(electronic-structure methods) or more approximate techniques (force fields), and how\r\nadequate sampling of the PES allows recovering macroscopic properties of the material. These\r\nmethods are used to gain insight into materials behaviour at the nanoscale and develop design\r\nstrategies based on atomic information.\r\nThe course consists of the following main parts:\r\n1 Introduction to molecular modelling: typical engineering applications, typical time and length\r\n1 scales, interatomic interactions\r\n2 Sampling techniques to derive macroscopic properties from the potential energy surface:\r\n1 normal-mode analysis, partition functions, molecular dynamics, rare-event sampling\r\n1 schemes, Monte Carlo approaches, vibrational spectroscopy\r\n3 Many-body electronic-structure methods: Hartree-Fock, post-Hartree-Fock, density1 functional theory, electronic spectroscopy\r\n4 Basis sets for the description of electronic states: localized basis sets, plane-wave basis\r\n1 sets, pseudopotentials, projector-augmented wave method\r\n5 Molecular mechanics to model larger systems on longer time scales: force field methods,\r\n1 atom-in-molecule partitioning\r\n6 First-principles materials design to rationally identify materials with outstanding performance\r\n1 in, for instance thermal engineering (thermal conductivity, heat capacity), mechanical\r\n1 engineering (elastic constants, structural flexibility), electronic engineering (band gap, charge\r\n1 carrier mobility, UV/visible/infrared spectrum)\r." . . "Presential"@en . "FALSE" . . "Physics and chemistry of nanostructures"@en . . "6" . "1. Introduction: nanoscience and technology: what, why and how - observation, measurement\r\nand manipulation at the nanoscale.\r\n2. Concepts of bottom-up nanotechnology: syntheses of colloidal nanocrystals - self-assembly\r\nas a construction principle.\r\n3. Physical properties of nanoscale materials: electronic energy levels in nanostructures -\r\nquantum confinement - optical properties of quantum dots.\r\n4. Quantum transport: tunneling - single-electron tunneling and Coulomb-blockade - tunneling\r\nspectroscopy - electron counting - the quantization of conductance.\r\n5. Nanoscale devices: the single-electron transistor.\nFINAL competences:\r\n1 Students can explain the rationale of nanoscience and technology and discuss the main\r\n1 trends in bottom-up nanotechnology.\r\n2 Students understand colloidal nanocrystals in terms of synthesis, stability and processing.\r\n3 Students have insight in self-assembly as a bottom-up approach to nanostructures.\r\n4 Students can explain why material properties may depend on particle size.\r\n5 Students can relate quantum confinement to the physical properties of semiconductor\r\n1 nanocrystals.\r\n6 Students understand quantum transport by tunneling.\r\n7 Students can relate Coulomb-blockade to single electron tunneling and understand the\r\n1 functioning of devices based in this effect.\r\n8 Students can discuss about the quantization of conductance. \r\n9 Understand can read, assess and discuss current scientific literature on colloidal\r\n1 nanocrystals." . . "Presential"@en . "FALSE" . . "Smart materials-nanotechnology"@en . . "5.00" . "Learning Outcomes\nTo understand the importance and the interdisciplinary of nanotechnology.\nTo understand the wide range of nanotechnology applications.\nTo understand the thermomechanical behavior of shape memory alloys.\nTo select the appropriate shape memory material for a given application.\nGeneral Competences\nApply knowledge in practice\nRetrieve, analyse and synthesise data and information, with the use of necessary technologies\nAdapt to new situations\nWork autonomously\nGenerate new research ideas\nCourse Content (Syllabus)\nIntroduction to Nanoscience\n-Νanoscale and Biomimetics\n-Production methods of nanomaterials\n-Characterization methods for nanomaterials\n-Properties of nanomaterials\n-Smart materials, shape memory materials\n-Properties of shape memory materials\n-Applications of nanomaterials" . . "Presential"@en . "TRUE" . . "Nanofabrication"@en . . "10.0" . "NANOFABRICATION ENG5174\nAcademic Session: 2023-24\nSchool: School of Engineering\nCredits: 10\nLevel: Level 5 (SCQF level 11)\nTypically Offered: Semester 1\nAvailable to Visiting Students: No\nShort Description\nThis course* will introduce students to the principles and practice of nanofabrication. It covers lithography, pattern transfer, inspection and electrical testing; the students complete a short fabrication project during the course.\n\n \n\n*Only register for this course if you have an immediate need for semiconductor fabrication cleanroom training - for instance for initial training of PhD students planning to work in the James Watt Nano-fabrication Centre. It will be a poor fit for students interested in semiconductor fabrication in general. The course ENG5055 Micro & Nano Technology is offered to give that more general background and will be a better fit for the majority of students.\n\nTimetable\nA four hour block comprising lecture and laboratory session once per week.\n\nExcluded Courses\nNone\n\nCo-requisites\nNone\n\nAssessment\n20% Written Assignment\n\n30% Oral presentation\n\n50% Report\n\nMain Assessment In: December\n\nCourse Aims\nThe aims of this course are to:\n\n■ guide the students through a short nanofabrication project ;\n\n■ give the students a broad understanding of nanofabrication technologies;\n\n■ give the students practical experience in using a range of nanofabrication technology.\n\nIntended Learning Outcomes of Course\nBy the end of this course students will be able to:\n\n■ effectively operate a range of nanofabrication tools;\n\n■ appreciate how each tool works and the Physics and Chemistry of the processes involved;\n\n■ design multi-step processes to fabricate simple nanoscale objects;\n\n■ carry out multistep nanofabrication processes with an appropriate level of skill.\n\nMinimum Requirement for Award of Credits\nStudents must submit at least 75% by weight of the components of the course's summative assessment.\n\n \n\nStudents must attend the timetabled laboratory classes.\n\n \n\nStudents should attend at least 75% of the timetabled classes of the course.\n\n \n\nNote that these are minimum requirements: good students will achieve far higher participation/submission rates. Any student who misses an assessment or a significant number of classes because of illness or other good cause should report this by completing a MyCampus absence report.\n\n\nMore information at: https://www.gla.ac.uk/postgraduate/taught/sensorandimagingsystems/?card=course&code=ENG5174" . . "Presential"@en . "FALSE" . . "Nanotechnology"@en . . . . .