Glass Transition Temperature Prediction

ML Prediction PolyNC v1.0.0
Predict glass transition temperatures (Tg) for polymers using the PolyNC neural network model. Example for polyethylene (-82.15C) and bisphenol-A type polymers (167.85C) with computation times of ~300-1500ms.

Chat Dialogs

Predict polyethylene Tg

PROMPT: Predict the Tg for polyethylene (SMILES: CC)
CONTEXT: PolyNC model accepts SMILES notation and property_type parameter. Polyethylene has a simple aliphatic backbone which typically results in low Tg values.
THINKING: I'll call brain_predict with the polyethylene SMILES and request Tg prediction.
RESULT: Tg prediction: -82.15C for polyethylene (CC). Computation time: 1514ms. This aligns with literature values of -80 to -125C depending on crystallinity.
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Predict bisphenol-A polymer Tg

PROMPT: Now predict Tg for a bisphenol-A based polymer like polycarbonate.
CONTEXT: Bisphenol-A polymers have rigid aromatic backbones and diphenyl ether linkages. These structural features typically result in high Tg values.
THINKING: I'll predict Tg for the BPA-based structure with aromatic linkages.
RESULT: Tg prediction: 167.85C for bisphenol-A polymer. Computation time: 305ms. Close to polycarbonate's actual Tg (~147C). The higher value reflects the specific diphenyl ether linkages.
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Technical Details

Polyethylene Prediction

INPUT:
{ "input_type": "text", "data": { "text": "CC", "property_type": "Tg" } }
OUTPUT:
{ "success": true, "result": { "prediction": -82.15, "unit": "C", "computation_time_ms": 1514 } }

Bisphenol-A Polymer Prediction

INPUT:
{ "input_type": "text", "data": { "text": "c1ccc(Oc2ccc(C(C)(C)c3ccc(Oc4ccccc4)cc3)cc2)cc1", "property_type": "Tg" } }
OUTPUT:
{ "success": true, "result": { "prediction": 167.85, "unit": "C", "computation_time_ms": 305 } }

Tools Used

brain_list_services brain_predict brain_get_examples

Outcomes

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