Skills4Scientists Posters & Careers Symposium Posters

The following posters will be presented in this order across the two day symposium on the 1st and 2nd September. This session will be live cartooned by our friends at ErrantScience.com and the cartoons will be added as each poster is presented.

Session		Title	Speaker
1		Nearer the nearsightedness principle: Large-scale quantum chemical calculations – Andras Vekassy (University of Southampton)
1		Generation of isomers for fast development of molecular datasets – Anna Catton (Swansea University)
1		Combining Ultrasonic Methods and Machine Learning Techniques to Assess Baked Products Quality – Erhan Gulsen (University of Nottingham)
1		Interactive Knowledge-Based Solvent Selection Tool – Hewan Zewdu (University of Nottingham)
1		CV in High Throughput Chemistry – Jamie Longino (University of Strathclyde)
2		A deep convolutional neural network for real-time full profile analysis of big powder diffraction data – Hongyang Dong (University College London)
2		Relative Structural Analysis on Molecular Perovskite – Kevin Daniel Calvache (Queen Mary University of London)
2		Structure-activity relationship analysis of supramolecular antimicrobials – Kaylee Patel (University Manchester)
2		Dewetting in Thin Liquid Films: Using Sparse Optimization to Learn Evolution Equations – Aspen Fenzl (University of Sheffield)
3		Latent Space encoding of Molecular Crystal Structure – King Wong (University of Southampton)
3		Continuous Flow Chemical Process Self-Optimisation by Machine Learning – Louis Greenhalgh (University of Leeds)
3		Creating a merged dataset and its exploration with different Machine Learning algorithms – Maximilian Hoffman (Freie Universität of Berlin)
3		Machine learning of quantum mechanical lattice energies for molecular crystal structure prediction – Rebecca Clements (University of Southampton)
3		Bayesian optimisation in Chemistry – Rubaiyat Khondaker (University of Cambridge)
4		A deep neural network for generation of functional organic materials – Rhyan Barrett (University of Warwick)
4		Curating inorganic chemical datasets to train RNN and transformer ML models to predict IUPAC names from InChI – Thomas Allam (University of Southampton)
4		Learning the crystallographic phase problem – Sarah Scripps (University of Edinburgh)
4		Exploring coherent diffractive imaging using AI – Gavin Man (University of Oxford)