ArticleChemical science2018
Chimera: enabling hierarchy based multi-objective optimization for self-driving laboratories.
Article in Chemical science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
41 citing papers in PubMed.
- Accelerate Flash Removal of PFAS from Soil by Human-Guided Bayesian Optimization and Interpretable Machine Learning.ACS nano · 2026Article
- Synergizing Chemical and AI Communities for Advancing Laboratories of the Future.ACS central science · 2026Review
- Machine learning-assisted exploration of multidrug-drug administration regimens for organoid arrays.Science advances · 2025Article
- Advancing genetic engineering with active learning: theory, implementations and potential opportunities.Briefings in bioinformatics · 2025Review
- Deep Reinforcement Learning-Based Self-Optimization of Flow Chemistry.ACS engineering Au · 2025Article
- AI Approaches to Homogeneous Catalysis with Transition Metal Complexes.ACS catalysis · 2025Review
- Bayesian Optimization of Spray Parameters for the Deposition of GaACS applied energy materials · 2025Article
- Computational Modeling of Properties of Quantum Dots and Nanostructures: From First Principles to Artificial Intelligence (A Review).Nanomaterials (Basel, Switzerland) · 2025Review
- Self-driving lab for the photochemical synthesis of plasmonic nanoparticles with targeted structural and optical properties.Nature communications · 2025Article
- Inverse Design of Singlet-Fission Materials with Uncertainty-Controlled Genetic Optimization.Angewandte Chemie (International ed. in English) · 2025Article
- Reaction blueprints and logical control flow for parallelized chiral synthesis in the Chemputer.Nature communications · 2024Article
- Self-Driving Laboratories for Chemistry and Materials Science.Chemical reviews · 2024Review
- Revisiting El-Sayed Synthesis: Bayesian Optimization for Revealing New Insights during the Growth of Gold Nanorods.Chemistry of materials : a publication of the American Chemical Society · 2024Article
- A genetic optimization strategy with generality in asymmetric organocatalysis as a primary target.Chemical science · 2024Article
- Artificial design of organic emittersChemical science · 2024Article
- Review
- Accelerated chemical science with AI.Digital discovery · 2024Review
- Materials science optimization benchmark dataset for multi-objective, multi-fidelity optimization of hard-sphere packing simulations.Data in brief · 2023Article
- Continuous flow synthesis of pyridinium salts accelerated by multi-objective Bayesian optimization with active learning.Chemical science · 2023Article
- A Brief Introduction to Chemical Reaction Optimization.Chemical reviews · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Finding the ideal conditions satisfying multiple pre-defined targets simultaneously is a challenging decision-making process, which impacts science, engineering, and economics. Additional complexity arises for tasks involving experimentation or expensive computations, as the number of evaluated conditions must be kept low. We propose Chimera as a general purpose achievement scalarizing function for multi-target optimization where evaluations are the limiting factor. Chimera combines concepts of
Identifiers
What OpenQuestion holds
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.