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23 July 2023 / Last updated : 23 July 2023 Andrew Cornell AI/ML

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15 April 2023 / Last updated : 4 August 2023 Rudy Potenzone AI/ML

Unraveling compound taxonomies in untargeted metabolomics through artificial intelligence

14 April 2023 / Last updated : 4 August 2023 Rudy Potenzone AI/ML

GenSMILES: An enhanced validity conscious representation for inverse design of molecules

14 April 2023 / Last updated : 4 August 2023 Rudy Potenzone AI/ML

Biosynthesis and Biological Profiling of Collinolactone and Semisynthetic Derivatives and MetaboIDent, a Novel Tool for Automated Dereplication

14 April 2023 / Last updated : 4 August 2023 Rudy Potenzone AI/ML

Recent advances in computational modeling of MOFs: From molecular simulations to machine learning

14 April 2023 / Last updated : 4 August 2023 Rudy Potenzone AI/ML

Combining Machine Learning with Physical Knowledge in Thermodynamic Modeling of Fluid Mixtures

14 April 2023 / Last updated : 4 August 2023 Rudy Potenzone AI/ML

Transformer Performance for Chemical Reactions: Analysis of Different Predictive and Evaluation Scenarios

14 April 2023 / Last updated : 4 August 2023 Rudy Potenzone AI/ML

GC-EI-MS datasets of trimethylsilyl (TMS) and tert-butyl dimethyl silyl (TBDMS) derivatives for development of machine learning-based compound identification approaches

16 December 2021 / Last updated : 8 August 2023 Rudy Potenzone AI/ML

De Novo Molecular Design with Chemical Language Models

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  • About the InChI standard
    • About the InChI standard
    • Extending the InChI standard
    • Slide decks and posters
    • News archive
    • Events
  • Support our work
    • Support our work
    • About the InChI Trust
    • How to join
  • Resources
    • InChI OER
  • Getting InChI
    • Getting and using InChI
    • InChI Web Demo
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