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Combine machine learning and advanced sequence optimization algorithims to build the plant of the future.

Supply chains are being tested as never before. Roch Gauthier shares what he has learned about the importance of certain supply chain capabilities and business processes.

The release of Aspen Hybrid Models in our V12 software release provides a major step forward for oil and gas, midstream, refining, petrochemicals and specialty chemicals.

With current supply chain disruptions and fluctuating demand, digitalization offers polymers manufacturers new ways to drive improvements in sustainability.

Some insightful takeaways from the recent ARC Strategies report indicating global industry leaders are focused on achieving sustainability targets via digital transformation.

Industrial AI will boost adoption of digitalization for chemical companies (bulk chemicals, petrochemical, specialty chemicals, polymers) bringing the power of hybrid modeling.

Aspen Polymersを活用し逐次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、運転条件の最適化検討が可能となります。

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。

While most chemical companies have sustainability initiatives in place with varying reliance on digital technologies to achieve these goals, challenges remain. What are the key enablers to eliminate emissions and waste, extend material use and regenerate natural systems? How do new innovations accelerate this effort?