Table 1 Summary of current online databases
From: Applied machine learning as a driver for polymeric biomaterials design
DatabaseRef | # of Polymers | Polymer Class(es) | Properties | Drawbacks |
|---|---|---|---|---|
PolyInfo113a | 31,495 | Diverse | Physical, optical, thermal, electrical, physicochemical, rheological, solution, mechanical |
|
Khazana23b | 965 | Conjugated polymers, commercial thermoplastics, polyesters | Electrical, optical |
|
Polymers: a Property Database114a | 30,000 | Diverse | Physical, optical, thermal, electrical, physicochemical, rheological, mechanical |
|
Polymer Property Predictor and Database115a | 212–6524 | Conjugated polymers, commercial thermoplastics | Solution, thermal |
|
MatWeb116a | 97,635 | Commercially available polymers | Physical, optical, thermal, electrical, physicochemical, rheological, mechanical |
|
Block Copolymer Phase Behavior Database117a | 5300 | Block copolymers | Phase measurements for block copolymers | - |
Electron Affinity and Ionization Potential Data62c | 42,966 | Halogenated polymers, conjugated polymers, charged polymers | Copolymer electron affinities and ionization potentials | - |
 = fee or academic affiliation required, 
 = no public API or ability to download, 
 = no structure information, 
 = unstandardized/text entries, 
 = cannot download the whole dataset/can only download a subset.- aexperimental data.
- bexperimental and simulated data.
- csimulated data.
 = fee or academic affiliation required, 
 = no public API or ability to download, 
 = no structure information, 
 = unstandardized/text entries, 
 = cannot download the whole dataset/can only download a subset.