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The Analytical Scientist / Issues / 2026 / March / When AI Meets Physics A Microcosmic Revolution in Liquid Chromatography
Data and AI Liquid Chromatography Pharma and Biopharma

When AI Meets Physics: A Microcosmic Revolution in Liquid Chromatography

How physics-informed machine learning can more accurately predict retention times in LC and speed up drug development

By Fabrice Gritti 03/18/2026 7 min read
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Top Institutions in Analytical Chemistry and Pharmaceutical Sciences

Leading institutions combine expertise in analytical chemistry, pharmaceutical sciences, and AI-driven data analytics to advance LC method development, retention time prediction, and integration of AI for pharmaceutical applications.

  • #1

    Massachusetts Institute of Technology (MIT)

    Cambridge, MA

    MIT leads in integrating AI with chemical analysis due to its pioneering research in machine learning applications and strong interdisciplinary collaboration between chemistry and computer science departments.

    Key Differentiators

    • Analytical Chemistry
    • Artificial Intelligence
    • Pharmaceutical Sciences
  • #2

    Stanford University

    Stanford, CA

    Stanford excels in translational research combining AI and pharmaceutical sciences, with strong programs in chemical engineering and biomedical data science that support innovations in chromatography and drug development.

    Key Differentiators

    • Analytical Chemistry
    • Pharmaceutical Sciences
    • Machine Learning
  • #3

    University of California, San Francisco (UCSF)

    San Francisco, CA

    UCSF is a leader in pharmaceutical research and biomedical informatics, applying AI to improve drug discovery processes including chromatographic analysis and impurity profiling.

    Key Differentiators

    • Pharmaceutical Sciences
    • Analytical Chemistry
    • Biomedical Informatics
  • #4

    University of Cambridge

    Cambridge, UK

    The University of Cambridge has a strong tradition in analytical and computational chemistry, with research groups focusing on AI-driven chromatographic method optimization and pharmaceutical applications.

    Key Differentiators

    • Analytical Chemistry
    • Pharmaceutical Sciences
    • Computational Chemistry
  • #5

    ETH Zurich

    Zurich, Switzerland

    ETH Zurich is recognized for its cutting-edge research in analytical chemistry and machine learning, applying AI to improve chromatographic separations and pharmaceutical analytics.

    Key Differentiators

    • Analytical Chemistry
    • Machine Learning
    • Pharmaceutical Sciences

This content is an AI-generated, fully rewritten summary based on a published scholarly article. It does not reproduce the original text and is not a substitute for the original publication. Readers are encouraged to consult the source for full context, data, and methodology.

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About the Author(s)

Fabrice Gritti

Fabrice Gritti is based at the Waters Corporation, Milford, USA.

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