A better optimizer needs a trustworthy test
RECOB puts algorithm rankings through two different checks—and shows why a stable virtual winner is only part of the evidence for a laboratory choice.

Reaction prediction, Catalysis, Synthesis planning, Self-driving laboratories, Analytical workflow integration. Concrete and mechanism-focused. Follow a sample, a measurement or a decision through the workflow. Use short explanatory sections..
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RECOB puts algorithm rankings through two different checks—and shows why a stable virtual winner is only part of the evidence for a laboratory choice.
An evidence-ablation experiment makes a persuasive case for laboratory memory—while matched campaigns reveal why the best sample is only part of the result.
A new optimizer sharpens experimental choices. Two robot studies show why choices are only part of autonomy.
A chemputation workflow tests the journey from extraction to physical execution.
Minerva makes parallel reaction optimisation a problem of batches and competing objectives. The analyst still has to define what success means.
A meta-learning study asks how prior reaction data can help classify asymmetric hydrogenations when a new task has few examples.
CATNIP links measured reaction compatibility to chemical and protein similarity. Its useful output is a ranked starting point for testing.
An arene-selectivity model offers clues about where chemistry happens. A clue becomes more useful when a separate calculation can challenge it.
Five primary research reports with explicit source-access and validation boundaries.
Five research reports on purification, reaction prediction and synthetic access.
Five research reports on optimization, adaptive operation and chemical transformations.
Five studies connect process screening, catalyst kinetics, stereoselectivity and direct synthesis.
Five papers connect synthesis decisions, catalytic prediction and numerical accountability.
Which new studies improve physical sample handling, failure diagnosis, reaction modelling and adaptable flow chemistry?
Which new computational tools connect synthesis decisions to checked routes, measured chemistry and analytical performance?
Which new benchmarks and data workflows make computational chemistry more useful for experimental decisions?
What do new experiments and comparative tests establish about automated chemistry and biosynthetic prediction?
What can new agent workflows, adaptable laboratory robots and learned analytical corrections contribute to chemistry experiments?
How can automated reaction-network discovery connect likely photoresist pathways with the locations and times at which products form?
Three papers on small-data reaction predictions, recorded dispensing and AI-accessible thin-film measurements; two are unreviewed preprints.