ReviewChemical reviews2023
A Brief Introduction to Chemical Reaction Optimization.
Review in Chemical reviews, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
103 citing papers in PubMed.
- AIMNet2-rxn: A machine-learned potential for generalized reaction modeling on a millions-of-pathways scale.Science advances · 2026Article
- A Practical Guide to Bayesian Optimization for Organic Chemists.Chem catalysis · 2026Article
- Transfer learning for reaction optimisation: overview of its applications and limits.Chemical science · 2026Review
- Bayesian Optimization of a Suzuki Coupling for the Industrial Synthesis of a Sartan Drug Intermediate.ACS omega · 2026Article
- BayesianKAN: A reaction condition optimization framework integrating Kolmogorov-Arnold network and Bayesian optimization.Smart molecules : open access · 2026Article
- Yield Smarter, Not Harder: Good Practices for Machine Learning of Reaction Outcomes.Journal of the American Chemical Society · 2026Article
- Timed batch inputs unlock substantially higher yields for enzymatic cascades.Nature chemistry · 2026Article
- Automated Dynamic Flow Experimentation for Rapid Kinetic Fitting of Transition Metal Catalysis.Angewandte Chemie (International ed. in English) · 2026Article
- Breaking the Boundaries of Bayesian Optimization Utilizing Continuous Chemistry Digital Twins.Organic process research & development · 2026Article
- Staged Diversity-Constrained Machine Learning for High-Dimensional Reaction Condition Optimization.Angewandte Chemie (International ed. in English) · 2026Article
- Article
- General-Purpose Models for the Chemical Sciences: LLMs and Beyond.Chemical reviews · 2026Review
- Antiviral drug discovery and development: challenges and future directions.Signal transduction and targeted therapy · 2026Review
- Review
- Adaptive Transition-State Refinement with Learned Equilibrium Flows.Journal of chemical information and modeling · 2026Article
- Exploiting the role of milk extracellular vesicles: a comprehensive analysis on isolation methods, characterization, surface modifications, and their therapeutic applications.Journal of nanobiotechnology · 2026Review
- Article
- Utilizing Similarity Measures to Map Chemical Reactivity.Angewandte Chemie (International ed. in English) · 2026Article
- Old drugs, new weapons: current trends in repurposing therapies against antimicrobial resistance.Journal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques · 2026Review
- A knowledge graph framework for digital twins of chemical processes.Nature chemical engineering · 2026Article
43 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
From the start of a synthetic chemist's training, experiments are conducted based on recipes from textbooks and manuscripts that achieve clean reaction outcomes, allowing the scientist to develop practical skills and some chemical intuition. This procedure is often kept long into a researcher's career, as new recipes are developed based on similar reaction protocols, and intuition-guided deviations are conducted through learning from failed experiments. However, when attempting to understand chemical systems of interest, it has been shown that model-based, algorithm-based, and miniaturized high-throughput techniques outperform human chemical intuition and achieve reaction optimization in a much more time- and material-efficient manner; this is covered in detail in this paper. As many synthetic chemists are not exposed to these techniques in undergraduate teaching, this leads to a disproportionate number of scientists that wish to optimize their reactions but are unable to use these methodologies or are simply unaware of their existence. This review highlights the basics, and the cutting-edge, of modern chemical reaction optimization as well as its relation to process scale-up and can thereby serve as a reference for inspired scientists for each of these techniques, detailing several of their respective applications.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.