Faraday joint interest group conference 2023

BM04

Reconstructing complete native genome of a virus from cryo-EM density: correspondence between the measured resolution and RNA flexibility Dmitry Nerukh Aston University, UK Single-molecule orientation localisation microscopy using a polarisation camera Ezra Bruggeman University of Cambridge, UK Sub-millisecond translational and orientational dynamics of a freely moving single nanoprobe Joseph Beckwith University of Cambridge, UK

BM05

BM06

Digital chemistry and machine learning

DC01

Functional group pair distance-based descriptor for isomerization in porous molecular framework materials Matthew Addicoat Nottingham Trent University, UK First principles structure and property prediction of energetic materials Joseph Arnold The University of Southampton, UK Machine learning of Gaussian basis sets for use in computational chemistry J. Grant Hill University of Sheffield, UK High-throughput virtual screening of existing organic chromophores for materials discovery Omer Omar University of Liverpool, UK A Natural Language Processing (NLP)-based deep learning approach to predict solubility parameters for drug discovery Jiayun Pang University of Greenwich, UK

DC02

DC03

DC04

DC05

DC06

Teaching core-hole spectroscopy to a deep neural network Conor Rankine University of York, UK

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