Professor of Chemistry
We use chemical informatics, computational chemistry, machine learning and AI to investigate molecules and to discover more about their structure, reactivity, analytical data and properties.
(Full list of publications)
Professor Goodman discusses his research
Publications
DP5 without DFT: uncertainty-calibrated graph neural net accelerates structure confirmation <i>via</i> NMR.
Chem Sci
(2026)
17
9138
(doi: 10.1039/D5SC06988B)
Oligomerisation and stereoselective polymerisation of alkenes and alkynes using pyridyl-based Al(iii) catalysts.
Chemical science
(2026)
17
5953
(doi: 10.1039/D5SC07624B)
Uncertainty-aware machine learning to predict non-cancer human toxicity for the global chemicals market.
Nat Commun
(2026)
17
647
(doi: 10.1038/s41467-025-67374-4)
Enhancing molecular structure elucidation with reasoning-capable LLMs
Digital Discovery
(2026)
5
1237
(doi: 10.1039/d5dd00359h)
Advancing Structure Elucidation with a Flexible Multi-Spectral AI Model.
Angewandte Chemie (International ed. in English)
(2025)
65
e17611
(doi: 10.1002/ange.202517611)
Towards automatically verifying chemical structures: the powerful combination of1H NMR and IR spectroscopy
Chemical science
(2025)
16
21590
(doi: 10.1039/d5sc06866e)
Uncertainty-aware machine learning to predict non-cancer human toxicity for the global chemicals market
(2025)
(doi: 10.21203/rs.3.rs-6103978/v1)
Introduction to Computational Organic Chemistry.
Organic and Biomolecular Chemistry
(2024)
22
7072
(doi: 10.1039/d4ob90102a)
Towards automatically verifying chemical structures: the powerful combination of ¹H NMR and IR spectroscopy
(2024)
(doi: 10.21203/rs.3.rs-4719113/v1)
Leveraging Language Model Multitasking To Predict C-H Borylation Selectivity
Journal of Chemical Information and Modeling
(2024)
64
4286
(doi: 10.1021/acs.jcim.4c00137)
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