ML-EHD

Predicting with pre-trained model for PLGA particle diameter

Steps for using this model

1. Install python dependencies (specified in the notebook file)
2. Populate experiments in validation.csv similar to the example entry
3. Run through the jupyter notebook. The results will be automatically saved to the original file.

Variable and meanings in the data file

Name	Meaning	Unit
Polymer_Conc	Concentration of the PLGA polymer in the solution	w/v%
Solvent	Solvent used in electrospray solution	-
FR	Flow rate of the syringe pump	mL/h
Vol	Voltage	kV
Distance	Collection distance, the distance between gauge and collector	mm
Gauge	Gauge size (needle size)	mm
Diameter_Mean	Diameter of the particle	micrometers

For Solvents, please use the following Abbreviations:

• DMF
• DMA
• DCM
• Acetone
• ACN
• TFE
• DMC
• Chloroform
• Toluene
• AceticAcid
• EA
• THF
• MeOH
• EtOH
• Water

Data Access

Data used for training this model has been uploaded on FigShare

Citation

Wang, F. et al. Machine learning predicts electrospray particle size. Materials & Design 219, 110735 (2022). https://doi.org/10.1016/j.matdes.2022.110735

References

The original data was sourced from the following publications:

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