AI3SD Intern Project: Machine Learning Physics Models for Materials Self-Assembly
AI3SD Intern Project: Machine Learning Physics Models for Materials Self-Assembly
This year 15 interns joined us for a 10 week programme between 28th June and 25th September 2021. The projects they were working on were interdisciplinary and included both cutting-edge AI and cutting-edge chemical discovery and demonstrated how and why they are relevant to AI3SD. The projects must be able to demonstrate valuable outputs both with respect to developing student skill and providing impact to AI3SD.
The Interns were required to produce a poster for the AI3SD Summer Project Symposia 1st – 2nd September 2021, and they took part in our Skills4Scientists programme that ran weekly across July and August whereby the interns were given training in a range of research, technical and interpersonal skills, alongside informative career-based events.
University of Southampton
Fenzl, Aspen
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Clarke, Nigel
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Kanza, Samantha
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Frey, Jeremy G.
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Hooper, Victoria
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25 September 2021
Fenzl, Aspen
7e2aff08-0cd3-4a59-91f9-541715a21f37
Clarke, Nigel
7808bc6e-cf34-48a8-a467-257849e13806
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Hooper, Victoria
af1a99f1-7848-4d5c-a4b5-615888838d84
Fenzl, Aspen and Clarke, Nigel
,
Kanza, Samantha, Frey, Jeremy G. and Hooper, Victoria
(eds.)
(2021)
AI3SD Intern Project: Machine Learning Physics Models for Materials Self-Assembly
(AI3SD-Intern-Series, 5)
Southampton.
University of Southampton
(doi:10.5258/SOTON/AI3SD0142).
Record type:
Monograph
(Project Report)
Abstract
This year 15 interns joined us for a 10 week programme between 28th June and 25th September 2021. The projects they were working on were interdisciplinary and included both cutting-edge AI and cutting-edge chemical discovery and demonstrated how and why they are relevant to AI3SD. The projects must be able to demonstrate valuable outputs both with respect to developing student skill and providing impact to AI3SD.
The Interns were required to produce a poster for the AI3SD Summer Project Symposia 1st – 2nd September 2021, and they took part in our Skills4Scientists programme that ran weekly across July and August whereby the interns were given training in a range of research, technical and interpersonal skills, alongside informative career-based events.
Text
AI3SD-Intern-Series_Report_5_Fenzl
- Version of Record
More information
Published date: 25 September 2021
Additional Information:
Aspen Fenzl: I’m a Theoretical Physics student at the University of Sheffield, and am entering my third year of an integrated Masters. I’m particularly interested in quantum mechanics, which I’ve been avidly learning since first year. This fall I will be working in the university’s Quantum Information Laboratory for my third year research project, where I hope to begin my journey in quantum computing.
I’ve been playing the flute for over 10 years, and am part of my university’s auditioned wind orchestra. I love to draw, explore new places, and am currently working towards my skydiving license.
Throughout this project, I will be developing a machine learning method used to describe the space and time dependent dynamics of soft matter. I’m very thankful for this opportunity, and am excited to explore a wider range of real-world applications of computing in physics!
Identifiers
Local EPrints ID: 452312
URI: http://eprints.soton.ac.uk/id/eprint/452312
PURE UUID: 55f64d18-9645-4265-b192-6f6009bf4f11
Catalogue record
Date deposited: 06 Dec 2021 17:37
Last modified: 17 Mar 2024 03:51
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Contributors
Author:
Aspen Fenzl
Author:
Nigel Clarke
Editor:
Victoria Hooper
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