Your ELN already contains valuable experimental knowledge - now it can initialize your optimization.
Your ELN already contains valuable experimental knowledge - now it can initialize your optimization.
We’re excited to announce the integration of Reactwise with AI4Green’s Electronic Lab Notebook (ELN), making it easier to turn historical experimental data into better optimization outcomes.
By connecting Reactwise directly with AI4Green, researchers can more effectively leverage their historical data captured in the ELN to support transfer learning approaches such as MemoryBO.
Historical ELN data can improve future recommendations, while data generated in Reactwise can be sent back to the ELN to maintain a complete and connected experimental record.
The result is a more unified digital lab workflow with:
- better use of historical data
- less manual data handling
- stronger data continuity across platforms
- smarter optimization grounded in real experimental knowledge
Together, Reactwise and AI4Green help create a more connected approach to chemical development - one where experimental data is not just stored, but actively used to drive better decisions.
And when combined with PAT and autonomous lab workflows, this integration helps teams automatically capture and connect experimental data while building richer datasets for the future.
A big thank you to Professor Jonathan Hirst and Dr. Joseph Healy for their collaboration in making this integration possible. We're continuing to expand and refine its capabilities and we’ll share further updates as it evolves.Learn more about the integration in the full article.
