four high-throughput experimentation (HTE) datasets

The "four high-throughput experimentation (HTE) datasets" contain experimental data used to evaluate the performance of models in predicting chemical reaction outcomes and optimizing reaction conditions for enhanced production yields.

Papers using four high-throughput experimentation (HTE) datasets (3)

MetaRF: Differentiable Random Forest for Reaction Yield Prediction with a Few Trails2022Automated Molecular Concept Generation and Labeling with Large Language Models2024Application of the Digital Annealer Unit in Optimizing Chemical Reaction Conditions for Enhanced Production Yields2024