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Mehryar Jafari, Khashayar Salehi, Bernardo Castro-Dominguez
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10.1021/ma961035f · doi-reference
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10.1038/s41598-025-95237-x · doi-reference
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10.1021/acs.macromol.3c01508 · doi-reference
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10.1021/jp903551h · doi-reference
Gas permeability, fractional free volume and molecular kinetic diameters: the effect of thermal rearrangement on ortho-hydroxy polyamide membranes loaded with a porous polymer network
10.3390/membranes12020200 · doi-reference
Correlation of separation factor versus permeability for polymeric membranes
10.1016/0376-7388(91)80060-j · doi-reference
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10.1016/0376-7388(95)00102-i · doi-reference
Infrared-Driven polymer intelligence
10.1002/aisy.202500427 · doi-reference
FTIR study on hydrogen-bonding interactions in biodegradable polymer blends of Poly(3-hydroxybutyrate) and Poly(4-vinylphenol)
10.1021/ma100307m · doi-reference
Interpretation of fourier transform infrared spectra (FTIR): a practical approach in the polymer/plastic thermal decomposition
10.17509/ijost.v8i1.53297 · doi-reference
Molecular simulations to elucidate transport phenomena in polymeric membranes
10.1021/acs.est.2c00440 · doi-reference
Computational approaches for organic semiconductors: from chemical and physical understanding to predicting new materials
10.1021/acs.chemrev.2c00704 · doi-reference
Polymer informatics at Scale with multitask graph neural networks
10.1021/acs.chemmater.2c02991 · doi-reference
Gas permeability, diffusivity, and solubility in polymers: Simulation-experiment data fusion and multi-task machine learning
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Prediction of glass transition temperatures from monomer and repeat unit structure using computational neural networks
10.1021/ci010062o · doi-reference
AI-assisted prediction and optimization of micropollutants removal with forward osmosis membranes
10.1016/j.memsci.2025.124346 · doi-reference
Evaluating polymer representations via quantifying structure–property relationships
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Mapping chemical structure–glass transition temperature relationship through artificial intelligence
10.1021/acs.macromol.0c02594 · doi-reference
From chemical structure to quantitative polymer properties prediction through convolutional neural networks
10.1016/j.polymer.2020.122341 · doi-reference
Predictive transport modelling in polymeric gas separation membranes: from additive contributions to machine learning
10.1016/j.seppur.2024.126743 · doi-reference