polymer-processing

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DivyamVerma22 / EC-PEO-electrospinning-ml-fiber-diameter

Machine-learning prediction and optimisation of electrospun ethyl cellulose–PEO fibre diameter using experimentally derived process parameters and within-laboratory validation.

machine-learning chemical-engineering materials-informatics bayesian-optimization experimental-data electrospinning polymer-processing fibre-diameter ethyl-cellulose polyethylene-oxide

Updated Aug 9, 2026
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Ignacio-Formoso / meltblowing-ann-models

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Excel implementation of ANN models for predicting fiber attenuation in melt-blowing using dimensionless process and nozzle parameters (Formoso, Fibers and Polymers, 2025).

artificial-neural-networks polypropylene neural-network-model nozzle-design melt-blowing polymer-processing fiber-attenuation fiber-diameter meltblown

Updated Mar 16, 2026

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