Supporting files for High-Throughput Screening of Catalysts for Electroreduction of CO 2 to Methanol via Active Learning. Include the original data for figures, a CSV format database for all
High througput imaging DB of toxicological effect of Manufactured nanomaterials on HepaRGs. (Note that: JRC NM-111 was included in Batch 1 but due to an error this item was only tested from experiment
Technological advancements in the North America 384-Well Microplates industry are shaping the future market landscape. The report evaluates innovation-driven growth and how emerging technologies are t
We establish a machine learning-based method to predict emission/absorption wavelength and PLQY of organic fluorescent materials.A platform has been establised for experimenters to use, as well as use
*Promotes hands-free centering of subjects. **Filling the well to eliminate the meniscus effect (∼340 µL) produced the best results, however, this practice proved impractical for HTS. +Promotes maxima