Hybrid

Using Python in the Field of Surface Engineering for Advanced Materials

EVENT DETAILS

Dr Patrick O’Toole PhD is a Research Fellow at RMIT University part of the Surface Engineering for Advanced Materials (SEAM) ARC ITTC working with Rosebank Engineering to develop better cladding processes for aerospace. Before joining RMIT, he was an Office of the Chief Executive Postdoctoral Fellow at CSIRO working in the Materials and Process Modelling Team. There he linked cutting edge material simulation algorithms to achieve a multiscale thermal history-microstructure model of melting and solidification. Prior to that he worked at the University of Melbourne modelling grain formation process and material properties by linking crystal plasticity with the phase-field method. Patrick trained in computational chemistry at the Universities of Sydney and Venice.

There is a huge number of free & open-source Python libraries available on the internet. It is not clear, however, how to find tools relevant to your research and how to make use of them. In this masterclass he will make use of Python and AI tools to find, install, and use (with the help of Github copilot) some libraries and tools relevant to research in the field of Surface Engineering. In this, he will touch on Python environment handling, finding and installing libraries and dependencies, and then go on to implement some modelling/computing solutions to aid in research effort. He will set up versioning software git, create a repository, and push our projects into private repos that could open up to any prospective employers, but may also serve in your future endeavours.

Feature Image Courtesy: Best Tools for Python Developers in 2023

PRESENTED BY:

Dr Patrick O'Toole, Postdoctoral Research Fellow, SEAM

DATE

05 December 2023

TIME

11:00 am - 12:00 pm (GMT+10)
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LOCATION

Hybrid

Room: EN413 Level 4, Building: Engineering Building,
Swinburne University of Technology, Hawthorn

Join Zoom Meeting
https://us02web.zoom.us/j/83971879532?pwd=dytkcWpsZEpVOCtuL1Ara0lHeVVtQT09

Meeting ID: 839 7187 9532
Passcode: 666333

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