A unified AI framework for solubility prediction across organic solvents

Research output: Contribution to conferencePoster

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Abstract

We report on the use of a single, unified dataset for machine learning (ML)-driven solubility prediction across the chemical space. This was a departure from the solvent-specific datasets more commonly used.
Original languageEnglish
Pages24-24
Number of pages1
Publication statusPublished - 16 May 2022
EventCMAC Annual Open Day 2022 - Glasgow, United Kingdom
Duration: 16 May 202218 May 2022

Conference

ConferenceCMAC Annual Open Day 2022
Country/TerritoryUnited Kingdom
CityGlasgow
Period16/05/2218/05/22

Keywords

  • machine learning
  • solubility predication
  • Conductor like Screening Model for Real Solvents (COSMO-RS)

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