MaterialsAtlas Synthesis Resource
Retrosynthesis benchmark evaluation
AI synthesis and reaction informaticsAI synthesis workflowgraduate researcher to computational chemistchemical synthesisgraduate trainingASKCOSAI synthesisreaction informaticsretrosynthesisbenchmarkevaluation
Retrosynthesis benchmark evaluation is a ChemistryAtlas synthesis guide card for ai synthesis and reaction informatics. It focuses on combining machine suggestions with chemical judgment and provenance checks.
- Start with the linked source: ASKCOS.
- Compare at least two literature precedents before using the chemistry on a valuable substrate.
- Record reagent equivalents, concentration, temperature, atmosphere, time, workup, purification, yield, and characterization.
- When this topic is useful in a synthesis plan.
- Which variables usually control success or failure.
- What evidence is needed before trusting the product assignment.
Characterization expectation: include at minimum 1H NMR, 13C NMR when applicable, LC-MS or HRMS, and purity evidence appropriate to the product class.
Safety expectation: review SDS and incompatibilities, keep scale conservative during scouting, and document quench and waste handling before running the reaction.
Recommended level: graduate researcher to computational chemist. Resource type: AI synthesis workflow.
Citation: ASKCOS computer-aided synthesis planning publications and open-source platform documentation.