Aspen Polymersを活用しフリーラジカル共重合モデルを構築できます。実験データから反応速度パラメータを回帰し、バッチ/連続重合シミュレーションでポリマー物性を予測します。 モデルを活用することで、実験回数の削減、バッチサイクルの短縮検討が可能となります。

Disruptive Tech ASEAN - Leveraging AI to accelerate DX

Significant changes in market demand are requiring many companies to make sharp load and product mix adjustments while operating with remote staff. Now more than ever, process plants need robust and adaptive process control technology to allow for safe, agile management of changing conditions. Join AspenTech experts to learn how Aspen DMC3 enables you to:

A remedy for cost overruns, project delays

Mapping app combats 'reactionary' fuel distribution

Opinion: predicting 2016 for the downstream in 11 (actually 12) words

Machine Learning Goes Viral in Oil Patch

Model-based energy management reduces energy costs

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AspenTech can be compared to the likes of Google in the chemical engineering sector