Improving chemical reaction processes using data science techniques

Data Science Guided Organic Reaction Development

['FUNDING_OTHER'] · UNIVERSITY OF UTAH · NIH-10831846

This study is working on using smart computer tools to make it easier and quicker to find the best ways to mix chemicals for new reactions, helping scientists develop new methods more efficiently.

Quick facts

Phase['FUNDING_OTHER']
Study typeNih_funding
SexAll
SponsorUNIVERSITY OF UTAH (nih funded)
Locations1 site (SALT LAKE CITY, UNITED STATES)
Trial IDNIH-10831846 on ClinicalTrials.gov

What this research studies

This research aims to develop data science-driven workflows that enhance the optimization of chemical reactions. By integrating algorithms with physical organic chemistry principles, the project seeks to predict the performance of various substrates, catalysts, and reagents in chemical reactions. This approach will streamline the traditionally costly and empirical process of reaction optimization, allowing for faster and more efficient development of new chemical methods. The ultimate goal is to transform the culture of reaction development into a more data-driven and insightful process.

Who could benefit from this research

Good fit: Ideal candidates for participation or benefit from this research include chemists and researchers involved in chemical synthesis and catalysis.

Not a fit: Patients not involved in chemical research or those outside the field of chemistry may not receive any direct benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to more efficient and cost-effective methods for developing new chemical reactions, benefiting various industries that rely on chemical synthesis.

How similar studies have performed: Other research has shown success in applying data science techniques to optimize chemical processes, indicating that this approach has potential for significant advancements.

Where this research is happening

SALT LAKE CITY, UNITED STATES

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.

View on NIH RePORTER →

Last reviewed 2026-05-15 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.