Concepedia

Natalie S. Eyke

NS

6

Publications

316

Citations

6

H-Index

2018

Active since

Affiliations

Massachusetts Institute of Technology(Current)

Natalie S. Eyke is an author at Massachusetts Institute of Technology specializing in engineering, knowledge discovery, and process control.

Top concepts

EngineeringData MiningData ScienceProcess ControlComputer ScienceMachine LearningKnowledge DiscoverySystems EngineeringArtificial IntelligenceManagement

Publications per year

2018–2023

6

Publications

6

Toward Machine Learning-Enhanced High-Throughput Experimentation

Natalie S. Eyke, Brent A. Koscher, Klavs F. Jensen · Trends in Chemistry · 2021 · 142 citations

Artificial Intelligence, Hyperparameter Estimation, Engineering +8

Iterative experimental design based on active machine learning reduces the experimental burden associated with reaction screening

Natalie S. Eyke, William H. Green, Klavs F. Jensen · Reaction Chemistry & Engineering · 2020 · 98 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +25

Development and Scale-Up of a Continuous Reaction for Production of an Active Pharmaceutical Ingredient Intermediate

Jonathan P. McMullen, Christopher H. Marton, Benjamin D. Sherry et al. · Organic Process Research & Development · 2018 · 27 citations

Engineering, Continuous Reaction, Continuous Flow Reactions +17

Parallel multi-droplet platform for reaction kinetics and optimization

Natalie S. Eyke, Timo N. Schneider, Brooke Jin et al. · Chemical Science · 2023 · 18 citations · Full text

Engineering, Parallel Multi-droplet Platform, Scheduling Algorithm +18

Iterative Experimental Design Based on Active Machine Learning Reduces the Experimental Burden Associated with Reaction Screening

Natalie S. Eyke, William H. Green, Klavs F. Jensen · 2020 · 17 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +23

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