Supplementary Data Code and Video for Cross-Laboratory Validation of Machine Learning Models for Copper Nanocluster Synthesis Using Remote Access Cloud-Based Automation

Supplementary Video The original 8-hour synthesis of operating robotic workcell video trimmed to the first 2 hours that includes the sample preparation steps prior to absorbance measurement. The 2 hr video is sped up to 44x – to play in 2 min 58 sec. Zipped folder with supplementary data include the absorbance spectra of the synthesized samples recorded at different times. It also contains the composition inside the wells, which was used as features for training machine learning models.
Supplementary Code - Wolfram notebook (.nb) file with code that shows the preprocessing of absorbance data and features, illustrates how the absorbance data were used for reproducibility analysis across batches and different locations, and includes the machine learning model training and validation.