{"id":171,"date":"2026-01-19T17:08:16","date_gmt":"2026-01-19T08:08:16","guid":{"rendered":"https:\/\/himatchemeng.tech\/?page_id=171"},"modified":"2026-02-09T15:58:44","modified_gmt":"2026-02-09T06:58:44","slug":"research","status":"publish","type":"page","link":"https:\/\/himatchemeng.tech\/en\/research\/","title":{"rendered":"Research Introduction"},"content":{"rendered":"\n

What is the Fundamental Properties Field?<\/strong><\/strong><\/h3>\n\n\n
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Chemical processes, such as reactions, separations, and purifications, all involve chemical engineering properties like phase equilibrium and viscosity. In other words, these properties are indispensable for designing such processes. While daily research and development yields numerous new chemical substances, there is, of course, no reporting of the chemical engineering properties necessary for using them in chemical processes. Measuring chemical engineering properties requires specialized equipment, expertise, and time. While these properties might seem like common knowledge, the reality is that only a handful of them are currently reported. Within chemical engineering, the field of fundamental properties research focuses on studying these very chemical engineering properties.<\/p>\n\n\n\n

Within this field, the primary research focus is the measurement of chemical engineering properties. While measuring previously unmeasured targets is certainly a key task, developing new measurement methods is also a challenge.<\/p>\n\n\n\n

Unfortunately, no matter how advanced measurement technology becomes, it is impossible to measure all the numerous targets. Therefore, alongside conducting measurements, it is necessary to predict chemical engineering properties. Prediction involves using existing models to establish correlations and make estimations, while also striving to improve accuracy and expand the scope. Developing new estimation models is also a challenge. However, prediction alone cannot verify whether precise properties are being predicted, making property measurement essential.<\/p>\n\n\n\n

The field of fundamental physical properties requires both \u201cmeasurement\u201d and \u201cprediction\u201d approaches in chemical engineering physics.<\/p>\n\n\n\n

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Hybrid Physical Property Prediction Model Combining \u201cEquation of State\u201d and \u201cAI\u201d<\/strong><\/p>\n\n\n\n

We are developing a physical property prediction model that integrates equation of state and AI. We introduce specific research content and provide access to the actual prediction model we have developed.<\/p>\n\n\n\n

Readmore<\/span><\/div><\/a><\/div>\n<\/div>\n\n\n\n
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Chemical engineering property measurements difficult to perform with commercially available equipment<\/strong><\/strong><\/strong><\/p>\n\n\n\n

We not only predict properties but also fabricate and measure a wide range of chemical engineering properties from the equipment design stage. Here we introduce the chemical engineering properties we have measured to date.<\/p>\n\n\n\n

Readmore<\/span><\/div><\/a><\/div>\n<\/div>\n\n\n\n
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\u201cElectric Field Simulation\u201d and \u201cAI\u201d<\/strong><\/p>\n\n\n\n

Hybrid Electrostatic Inkjet Printing Characteristic Prediction Model<\/strong><\/p>\n\n\n\n

\u3000We are also deploying AI-integrated prediction models in actual chemical processes. Here we introduce their application to the electrostatic inkjet printing process.<\/p>\n\n\n\n

Readmore<\/span><\/div><\/a><\/div>\n<\/div>\n\n\n\n
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<\/p>\n","protected":false},"excerpt":{"rendered":"

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