The University of Southampton
University of Southampton Institutional Repository
Warning ePrints Soton is experiencing an issue with some file downloads not being available. We are working hard to fix this. Please bear with us.

AI3SD Video: Skills4Scientists - Poster & Careers Symposium - Poster Compilation

AI3SD Video: Skills4Scientists - Poster & Careers Symposium - Poster Compilation
AI3SD Video: Skills4Scientists - Poster & Careers Symposium - Poster Compilation
This video forms part of the Skills4Scientists Series which has been organised as a joint venture between the Artificial Intelligence for Scientific Discovery Network+ (AI3SD) and the Physical Sciences Data-Science Service (PSDS). This series ran over summer 2021 and aims to educate and improve scientists skills in a range of areas including research data management, python, version control, ethics, and career development. This series is primarily aimed at final year undergraduates / early stage PhD students. This video is a compilation of posters presented at the Skills4Scientists Posters & Careers Symposium. These poster presentations are predominantly from summer students involved in the AI3SD 2021 summer internship program.Higher resolution versions of the posters are available on the poster symposium website: https://www.ai3sd.org/s4s-symposium20...Not all poster presenters requested a recording of their talk. The following posters recordings are included in this compilation video. Poster 1 - Nearer the nearsightedness principle: Large-scale quantum chemical calculations – Andras Vekassy (University of Southampton)Poster 3 - Combining Ultrasonic Methods and Machine Learning Techniques to Assess Baked Products Quality – Erhan Gulsen (University of Nottingham)Poster 4 - Interactive Knowledge-Based Solvent Selection Tool – Hewan Zewdu (University of Nottingham)Poster 5 - CV in High Throughput Chemistry – Jamie Longino (University of Strathclyde)Poster 9 - Dewetting in Thin Liquid Films: Using Sparse Optimization to Learn Evolution Equations – Aspen Fenzl (University of Sheffield)Poster 12 - Creating a merged dataset and its exploration with different Machine Learning algorithms – Maximilian Hoffman (Freie Universität of Berlin)Poster 14 - Bayesian optimisation in Chemistry – Rubaiyat Khondaker (University of Cambridge)Poster 15 - A deep neural network for generation of functional organic materials – Rhyan Barrett (University of Warwick)Thank you to our sponsors Optibrium (https://www.optibrium.com/) and Dotmatics (https://www.dotmatics.com/) who supported this event. These poster presentations were live cartooned by ErrantScience (errantscience.com) which is also available on our YouTube Channel. SectionsIntro: (0:00)Andras Vekassy - Nearer the nearsighted principle: Large-scale quantum chemical calculations: (0:17)Erhan Gulsen - Combining Ultrasonic Methods and Machine Learning Techniques to Assess Baked Products Quality: (06:11)Hewan Zewdu - Interactive Knowledge-Based Solvent Selection Tool: (12:09)Jamie Longino - CV in High Throughput Chemistry: (16:52)Aspen Fenzl - Dewetting in Thin Liquid Films: Using Sparse Optimization to Learn Evolution Equations: (21:21)Maximillian Hoffman - Creating a merged dataset and its exploration with different machine learning algorithms: (27:31)Rubaiyat Khondaker - Bayesian optimisation in Chemistry: (34:33)Rhyan Barrett - A deep neural network for generation of functional organic materials: (40:06)Further details from this series can be found at: https://www.ai3sd.org/skills4scientistsThis video is an output from the AI3SD Network+ (Artificial Intelligence and Augmented Intelligence for Automated Investigations for Scientific Discovery) which is funded by EPSRC under Grant Number EP/S000356/1 and PSDS (Physical Sciences Data science Service) which is funded by EPSRC under Grant Number EP/S020357/1.
Posters, Careers, Skills4Scientists, AI3SD, PSDS, AI, ML, Artificial Intelligence, Machine Learning, Chemistry
Vekassy, András
8a1c7907-7c75-4276-bea0-0add42232d42
Fenzl, Aspen
7e2aff08-0cd3-4a59-91f9-541715a21f37
Gulsen, Erhan
bc6830b8-b026-4d11-a138-6bc5ec27138f
Zewdu, Hewan
047c0bfb-6a72-4469-9e17-52f116821014
Longio, Jamie
83d358ef-799a-437e-98f9-21b86dd61968
Hoffman, Maximilian
ee54b667-c2fa-4935-b78b-7ec6702ae0dc
Barrett, Rhyan
8a308dca-0cf4-4d66-bb76-bcd259398463
Khondaker, Rubaiyat
55874aa9-77b1-450a-9908-b3db85f65869
Catton, Anna
b8eeab99-c71f-4646-ac0b-0114238a14c9
Dong, Hongyang
ccb44041-9874-419b-82e8-5c51661b20e9
Calvache, Kevin
753386fb-b7d5-4231-ae52-fed3ece624e9
Patel, Kaylee
7a6c03fb-d939-4c22-b5d3-a817400376ad
Wong, King
b82c3337-72ce-4d04-a7c9-e866b1bf1139
Greenhalgh, Louis
eeb2fb96-2c27-49c1-a402-e545f5a4c206
Clements, Rebecca, Jane
c92a2d47-ede3-4ce9-bd61-81b8c9681aa6
Allam, Thomas
de391ded-a623-47cc-8cb3-01c506472084
Scripps, Sarah
2d22fb16-b0df-41a8-9858-afd6c9ffb28b
Man, Gavin
41514836-1b3e-41d4-a837-32541db52a96
Munday, Samuel
d2246425-2b7c-478e-a934-b7e3c6aee384
Blakey, Michael
dd52ac5f-a5f5-4698-8099-712f410fa92e
Day, Graeme M.
e3be79ba-ad12-4461-b735-74d5c4355636
Skylaris, Chris-Kriton
8f593d13-3ace-4558-ba08-04e48211af61
Coles, Simon J.
3116f58b-c30c-48cf-bdd5-397d1c1fecf8
Gow, Stephen
922171a1-6d31-4969-9e2e-8443daff9c0c
Brocklesby, William
c53ca2f6-db65-4e19-ad00-eebeb2e6de67
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Knight, Nicola
fbc21e18-095e-4c1a-a4bf-6277debf5c4b
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Knight, Nicola
fbc21e18-095e-4c1a-a4bf-6277debf5c4b
Vekassy, András
8a1c7907-7c75-4276-bea0-0add42232d42
Fenzl, Aspen
7e2aff08-0cd3-4a59-91f9-541715a21f37
Gulsen, Erhan
bc6830b8-b026-4d11-a138-6bc5ec27138f
Zewdu, Hewan
047c0bfb-6a72-4469-9e17-52f116821014
Longio, Jamie
83d358ef-799a-437e-98f9-21b86dd61968
Hoffman, Maximilian
ee54b667-c2fa-4935-b78b-7ec6702ae0dc
Barrett, Rhyan
8a308dca-0cf4-4d66-bb76-bcd259398463
Khondaker, Rubaiyat
55874aa9-77b1-450a-9908-b3db85f65869
Catton, Anna
b8eeab99-c71f-4646-ac0b-0114238a14c9
Dong, Hongyang
ccb44041-9874-419b-82e8-5c51661b20e9
Calvache, Kevin
753386fb-b7d5-4231-ae52-fed3ece624e9
Patel, Kaylee
7a6c03fb-d939-4c22-b5d3-a817400376ad
Wong, King
b82c3337-72ce-4d04-a7c9-e866b1bf1139
Greenhalgh, Louis
eeb2fb96-2c27-49c1-a402-e545f5a4c206
Clements, Rebecca, Jane
c92a2d47-ede3-4ce9-bd61-81b8c9681aa6
Allam, Thomas
de391ded-a623-47cc-8cb3-01c506472084
Scripps, Sarah
2d22fb16-b0df-41a8-9858-afd6c9ffb28b
Man, Gavin
41514836-1b3e-41d4-a837-32541db52a96
Munday, Samuel
d2246425-2b7c-478e-a934-b7e3c6aee384
Blakey, Michael
dd52ac5f-a5f5-4698-8099-712f410fa92e
Day, Graeme M.
e3be79ba-ad12-4461-b735-74d5c4355636
Skylaris, Chris-Kriton
8f593d13-3ace-4558-ba08-04e48211af61
Coles, Simon J.
3116f58b-c30c-48cf-bdd5-397d1c1fecf8
Gow, Stephen
922171a1-6d31-4969-9e2e-8443daff9c0c
Brocklesby, William
c53ca2f6-db65-4e19-ad00-eebeb2e6de67

Vekassy, András, Fenzl, Aspen, Gulsen, Erhan, Zewdu, Hewan, Longio, Jamie, Hoffman, Maximilian, Barrett, Rhyan, Khondaker, Rubaiyat, Catton, Anna, Dong, Hongyang, Calvache, Kevin, Patel, Kaylee, Wong, King, Greenhalgh, Louis, Clements, Rebecca, Jane, Allam, Thomas, Scripps, Sarah, Man, Gavin, Munday, Samuel, Blakey, Michael, Day, Graeme M., Skylaris, Chris-Kriton, Coles, Simon J., Gow, Stephen and Brocklesby, William (2021) AI3SD Video: Skills4Scientists - Poster & Careers Symposium - Poster Compilation. Frey, Jeremy G., Kanza, Samantha and Knight, Nicola (eds.) Skills4Scientists Seminar Series 2021. 07 Jul - 02 Sep 2021. (doi:10.5258/SOTON/P0158).

Record type: Conference or Workshop Item (Poster)

Abstract

This video forms part of the Skills4Scientists Series which has been organised as a joint venture between the Artificial Intelligence for Scientific Discovery Network+ (AI3SD) and the Physical Sciences Data-Science Service (PSDS). This series ran over summer 2021 and aims to educate and improve scientists skills in a range of areas including research data management, python, version control, ethics, and career development. This series is primarily aimed at final year undergraduates / early stage PhD students. This video is a compilation of posters presented at the Skills4Scientists Posters & Careers Symposium. These poster presentations are predominantly from summer students involved in the AI3SD 2021 summer internship program.Higher resolution versions of the posters are available on the poster symposium website: https://www.ai3sd.org/s4s-symposium20...Not all poster presenters requested a recording of their talk. The following posters recordings are included in this compilation video. Poster 1 - Nearer the nearsightedness principle: Large-scale quantum chemical calculations – Andras Vekassy (University of Southampton)Poster 3 - Combining Ultrasonic Methods and Machine Learning Techniques to Assess Baked Products Quality – Erhan Gulsen (University of Nottingham)Poster 4 - Interactive Knowledge-Based Solvent Selection Tool – Hewan Zewdu (University of Nottingham)Poster 5 - CV in High Throughput Chemistry – Jamie Longino (University of Strathclyde)Poster 9 - Dewetting in Thin Liquid Films: Using Sparse Optimization to Learn Evolution Equations – Aspen Fenzl (University of Sheffield)Poster 12 - Creating a merged dataset and its exploration with different Machine Learning algorithms – Maximilian Hoffman (Freie Universität of Berlin)Poster 14 - Bayesian optimisation in Chemistry – Rubaiyat Khondaker (University of Cambridge)Poster 15 - A deep neural network for generation of functional organic materials – Rhyan Barrett (University of Warwick)Thank you to our sponsors Optibrium (https://www.optibrium.com/) and Dotmatics (https://www.dotmatics.com/) who supported this event. These poster presentations were live cartooned by ErrantScience (errantscience.com) which is also available on our YouTube Channel. SectionsIntro: (0:00)Andras Vekassy - Nearer the nearsighted principle: Large-scale quantum chemical calculations: (0:17)Erhan Gulsen - Combining Ultrasonic Methods and Machine Learning Techniques to Assess Baked Products Quality: (06:11)Hewan Zewdu - Interactive Knowledge-Based Solvent Selection Tool: (12:09)Jamie Longino - CV in High Throughput Chemistry: (16:52)Aspen Fenzl - Dewetting in Thin Liquid Films: Using Sparse Optimization to Learn Evolution Equations: (21:21)Maximillian Hoffman - Creating a merged dataset and its exploration with different machine learning algorithms: (27:31)Rubaiyat Khondaker - Bayesian optimisation in Chemistry: (34:33)Rhyan Barrett - A deep neural network for generation of functional organic materials: (40:06)Further details from this series can be found at: https://www.ai3sd.org/skills4scientistsThis video is an output from the AI3SD Network+ (Artificial Intelligence and Augmented Intelligence for Automated Investigations for Scientific Discovery) which is funded by EPSRC under Grant Number EP/S000356/1 and PSDS (Physical Sciences Data science Service) which is funded by EPSRC under Grant Number EP/S020357/1.

Video
S4S-Poster-YouTubeCompilation-Pure - Version of Record
Available under License Creative Commons Attribution.
Download (1GB)
Text
1_Andras_Vekassy
Available under License Creative Commons Attribution.
Download (443kB)
Text
2_Anna_Catton
Available under License Creative Commons Attribution.
Download (291kB)
Text
3_Erhan_Gulsen
Available under License Creative Commons Attribution.
Download (466kB)
Text
4_Hewan Zewdu
Available under License Creative Commons Attribution.
Download (394kB)
Text
5_Jamie Longino
Available under License Creative Commons Attribution.
Download (486kB)
Text
6_Hongyang_Dong
Available under License Creative Commons Attribution.
Download (559kB)
Text
7_Kevin_Daniel_Calvache
Available under License Creative Commons Attribution.
Download (533kB)
Text
8_Kaylee_Patel
Available under License Creative Commons Attribution.
Download (338kB)
Text
9_Aspen_Fenzl
Available under License Creative Commons Attribution.
Download (436kB)
Text
10_King_Wong
Available under License Creative Commons Attribution.
Download (331kB)
Text
11_Louis_Greenhalgh
Available under License Creative Commons Attribution.
Download (495kB)
Text
12_Maximilian_Hoffmann
Available under License Creative Commons Attribution.
Download (527kB)
Text
13_Rebecca_Clements
Available under License Creative Commons Attribution.
Download (448kB)
Text
14_Rubaiyat_Khonder
Available under License Creative Commons Attribution.
Download (338kB)
Text
15_Rhyan_Barrett
Available under License Creative Commons Attribution.
Download (357kB)
Text
16_Thomas Allam
Available under License Creative Commons Attribution.
Download (328kB)
Text
17_Sarah_Scripps
Available under License Creative Commons Attribution.
Download (477kB)
Text
18_Gavin_Man
Available under License Creative Commons Attribution.
Download (488kB)

Show all 19 downloads.

More information

Published date: 2 September 2021
Venue - Dates: Skills4Scientists Seminar Series 2021, 2021-07-07 - 2021-09-02
Keywords: Posters, Careers, Skills4Scientists, AI3SD, PSDS, AI, ML, Artificial Intelligence, Machine Learning, Chemistry

Identifiers

Local EPrints ID: 451464
URI: http://eprints.soton.ac.uk/id/eprint/451464
PURE UUID: e93c8951-e535-46c0-898a-3e8b24cf6c48
ORCID for Jeremy G. Frey: ORCID iD orcid.org/0000-0003-0842-4302
ORCID for Samantha Kanza: ORCID iD orcid.org/0000-0002-4831-9489
ORCID for Nicola Knight: ORCID iD orcid.org/0000-0001-8286-3835
ORCID for Graeme M. Day: ORCID iD orcid.org/0000-0001-8396-2771
ORCID for Chris-Kriton Skylaris: ORCID iD orcid.org/0000-0003-0258-3433
ORCID for Simon J. Coles: ORCID iD orcid.org/0000-0001-8414-9272
ORCID for William Brocklesby: ORCID iD orcid.org/0000-0002-2123-6712

Catalogue record

Date deposited: 29 Sep 2021 16:49
Last modified: 22 Oct 2021 01:57

Export record

Altmetrics

Contributors

Editor: Jeremy G. Frey ORCID iD
Editor: Samantha Kanza ORCID iD
Editor: Nicola Knight ORCID iD
Author: András Vekassy
Author: Aspen Fenzl
Author: Erhan Gulsen
Author: Hewan Zewdu
Author: Jamie Longio
Author: Maximilian Hoffman
Author: Rhyan Barrett
Author: Rubaiyat Khondaker
Author: Anna Catton
Author: Hongyang Dong
Author: Kevin Calvache
Author: Kaylee Patel
Author: King Wong
Author: Louis Greenhalgh
Author: Rebecca, Jane Clements
Author: Thomas Allam
Author: Sarah Scripps
Author: Gavin Man
Author: Samuel Munday
Author: Michael Blakey
Author: Graeme M. Day ORCID iD
Author: Simon J. Coles ORCID iD
Author: Stephen Gow

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×