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Research Introduction
Hybrid Physical Property Prediction Model Combining “Equation of State” and “AI”
Interaction parameters of PR-vdW model
Prediction model based on critical points and eccentricity factors of organic solvents
Prediction model based on molecular information obtained from quantum science computing
Prediction model based on molecular information of organic solvents in carbon dioxide using PCM theory
Pure-component paramters of PC-SAFT EoS
Prediction model based on group contribution method (molecular structure)
Prediction model based on molecular information obtained from quantum science computing
Prediction model treating molecular structure as graph structural information
Chemical engineering property measurements difficult to perform with commercially available equipment
“Electric Field Simulation” and “AI” Hybrid Electrostatic Inkjet Printing Characteristic Prediction Model
Important Notes for Using the Program
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JAPANESE
東京理科大学 工学部工業化学科
HiMat-Chemical Engineering
Prediction model treating molecular structure as graph structural information
