We’re excited to share our new white paper: “Data-Driven Reaction Optimization in Process Chemistry”

We’re excited to share our new white paper: “Data-Driven Reaction Optimization in Process Chemistry”

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Chemistry teams are often asked to develop processes for robust, scalable reactions under tight timelines and complex constraints - usually in high-dimensional experimental spaces where every run is costly. 

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In this paper, we explore how data-driven optimization and transfer learning can help teams learn faster from limited data, reduce experiment counts, and make better decisions during reaction development.

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We also cover practical considerations for real-world implementation, from handling mixed variables and multi-objective trade-offs to integrating these methods with digital lab systems, automation, and kinetic modeling - helping create a practical path toward autonomous labs.

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If you’d like to explore how to apply these approaches in practice, this is exactly what we’re building at @ReactWise.

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Let’s make chemistry smarter - together.

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