Area of research
Biomedical Engineering · Polymers and Plastics
Research interest
Research interests include Artificial neural network, Particle swarm optimization, Solubility, Standard deviation, Supercritical carbon dioxide, and Supercritical fluid.
Investigation of Major Flavonoids from Artemisia argyi as a Potential COVID-19 Drug: Molecular Docking and DFT Calculations
Solubility prediction of gases in polymers based on an artificial neural network: a review
Prediction of supercritical carbon dioxide solubility in polymers based on hybrid artificial intelligence method integrated with the diffusion theory
Solubility prediction of supercritical carbon dioxide in 10 polymers using radial basis function artificial neural network based on chaotic self-adaptive particle swarm optimization and K-harmonic means
Prediction of gas solubility in polymers by back propagation artificial neural network based on self-adaptive particle swarm optimization algorithm and chaos theory
Solubility prediction of gases in polymers using fuzzy neural network based on particle swarm optimization algorithm and clustering method
Prediction of the gas solubility in polymers by a radial basis function neural network based on chaotic self‐adaptive particle swarm optimization and a clustering method