@JonnyConn

Postgraduate Researcher/compchem nerd in Strathclyde PAC department - @StrathChem @scotch_research

Joined July 2020
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Blinded Predictions and Post Hoc Analysis of the Second Solubility Challenge Data: Exploring Training Data and Feature Set Selection for Machine and Deep Learning Models #machinelearning #compchem bit.ly/3xbeXFt

Blinded Predictions and Post Hoc Analysis of the Second Solubility Challenge Data: Exploring...

Abstract. Accurate methods to predict solubility from molecular structure are highly sought after in the chemical sciences. To assess the state of the art,

pubs.acs.org
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@JonnyConn presenting at Day 2 of #DSMS2022 on his work surrounding the use of the Jarzynski equality to compute the free energy change of DNA hybridisation
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First day of the Doctoral School Multidisciplinary Symposium! Come along and have a look today, tomorrow and Friday. TL601 from 12.45 until 13.45 for poster presentations
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#DSMSPoster2021 #27 Daniel Fowles Physics-based Solubility Computation for Pharmaceuticals Can Rival Informatics
#27 Daniel Fowles Physics-based Solubility Computation for Pharmaceuticals Can Rival Informatics

ALT #27 Daniel Fowles Physics-based Solubility Computation for Pharmaceuticals Can Rival Informatics

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My poster submission for #ScotCHEM2020 computational chemistry symposium! "Machine Learning Predictions for the Second Solubility Challenge" @scotch_research @StrathChem
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