Note: This unit version is currently being edited and is subject to change!
AMME5271: Computational Nanotechnology (2015 - Semester 2)
|Unit:||AMME5271: Computational Nanotechnology (6 CP)|
|Faculty/School:||School of Aerospace, Mechanical & Mechatronic Engineering|
A/Prof Jabbarzadeh, Ahmad
|Session options:||Semester 2|
|Versions for this Unit:|
|Brief Handbook Description:||This course introduces atomistic computational techniques used in modern engineering to understand phenomena and predict material properties, behaviour, structure and interactions at nano-scale. The advancement of nanotechnology and manipulation of matter at the molecular level have provided ways for developing new materials with desired properties. The miniaturization at the nanometre scale requires an understanding of material behaviour which could be much different from that of the bulk. Computational nanotechnology plays a growingly important role in understanding mechanical properties at such a small scale. The aim is to demonstrate how atomistic level simulations can be used to predict the properties of matter under various conditions of load, deformation and flow. The course covers areas mainly related to fluid as well as solid properties, whereas, the methodologies learned can be applied to diverse areas in nanotechnology such as, liquid-solid interfaces, surface engineering, nanorheology, nanotribology and biological systems. This is a course with a modern perspective for engineers who wish to keep abreast with advanced computational tools for material characterization at the atomic scale.|
|Assumed Knowledge:||The students will require an understanding of basic principles of Newtonian mechanics, physics and chemistry, fluid mechanics and solid mechanics. General knowledge of how to operate a computer and work with different software is also required.|
A/Prof Jabbarzadeh, Ahmad
|T&L Activities:||Tutorial: One 3hr Tutorial
Students are expected to attend all lectures and tutorials, complete all tutorial problems, read articles and book chapters on reading lists, and undertake further self-directed research.
Approximately 6 hours per week of private study outside lectures and tutorial classes will be required to complete the tutorial tasks, reading, and to work on the major project.
Attributes listed here represent the key course goals (see Course Map tab) designated for this unit. The list below describes how these attributes are developed through practice in the unit. See Learning Outcomes and Assessment tabs for details of how these attributes are assessed.
|Attribute Development Method||Attribute Developed|
|Be able to exercise critical judgment by using their theoretical knowledge to solve problems. They should extend problem solving abilities to design modeling and simulation scenarios.||Design (Level 4)|
|Develop the essential knowledge both practical and theoretical in the field of computational nanotechnology.||Engineering/IT Specialisation (Level 5)|
|Be able to model matter at the atomic scale with specific applications related to problems in nano-science and engineering situations, and to apply a few fundamental, well understood principles.||Maths/Science Methods and Tools (Level 5)|
|Learn how to use scientific software to model engineering problems at the nano-scale. .||Information Seeking (Level 4)|
|Be able to organize and communicate knowledge related to computational analysis at the nano-scale in form of written reports and oral presentations.||Communication (Level 4)|
|Be able to work individually and within a group to complete personal assignments and group projects. Students should perform extensive research to complete the assigned tasks.||Project and Team Skills (Level 4)|
For explanation of attributes and levels see Engineering & IT Graduate Outcomes Table.
Learning outcomes are the key abilities and knowledge that will be assessed in this unit. They are listed according to the course goal supported by each. See Assessment Tab for details how each outcome is assessed.Design (Level 4)
Assignment: Assignment 1. The assignment problems will be distributed at lectures 2 weeks before the assignment is due.
Assignment: assignment 2
Project: Major Project
Presentation/Seminar: In the last week of the course the students should give seminars on the topic of their Major Project. Each student will have 15 minutes to present and 5 minutes will be allowed for questions. All the presentations should be in PowerPoint format.
|Policies & Procedures:||See the policies page of the faculty website at http://sydney.edu.au/engineering/student-policies/ for information regarding university policies and local provisions and procedures within the Faculty of Engineering and Information Technologies.|
Note: References are provided for guidance purposes only. Students are advised to consult these books in the university library. Purchase is not required.
Note that the "Weeks" referred to in this Schedule are those of the official university semester calendar https://web.timetable.usyd.edu.au/calendar.jsp
|Week 1||Introduction to modeling and simulation.|
|Continuum and atomic view of matter.|
|Week 2||Deterministic versus stochastic methods.|
|Week 3||Molecular dynamics algorithms and techniques.|
|Week 4||Atomistic models of materials and force potentials.|
|Assessment Due: Assignment|
|Week 5||Calculating physical properties using statistical mechanics.|
|Week 6||Structural properties, radial distribution function,diffusion coefficient, stress tensor and deformation in nano-scale.|
|Week 7||Statistical accuracy and analysis of molecular dynamics data; simulation ensembles (NPT, NVT)|
|Week 8||Efficient computations|
|Assessment Due: Assignment|
|Week 9||Modeling metals, polymers and biopolymers.|
|Week 10||Time dependant phenomena|
|Week 11||Practical applications to simulation of flow in nano-channels, shear flow, nano-tribology and nano-rheology.|
|Week 12||Case studies|
|Week 13||Case studies|
|Assessment Due: Project|
|Assessment Due: Presentation/Seminar|
The following is a list of courses which have added this Unit to their structure.
This unit contributes to the achievement of the following course goals:
|Design (Level 4)||Yes||28.82%|
|Engineering/IT Specialisation (Level 5)||Yes||16.91%|
|Maths/Science Methods and Tools (Level 5)||Yes||16.91%|
|Information Seeking (Level 4)||Yes||16.91%|
|Communication (Level 4)||Yes||11.91%|
|Professional Conduct (Level 4)||No||0%|
|Project and Team Skills (Level 4)||Yes||8.57%|
These goals are selected from Engineering & IT Graduate Outcomes Table which defines overall goals for courses where this unit is primarily offered. See Engineering & IT Graduate Outcomes Table for details of the attributes and levels to be developed in the course as a whole. Percentage figures alongside each course goal provide a rough indication of their relative weighting in assessment for this unit. Note that not all goals are necessarily part of assessment. Some may be more about practice activity. See Learning outcomes for details of what is assessed in relation to each goal and Assessment for details of how the outcome is assessed. See Attributes for details of practice provided for each goal.