Mark F. Sonnenschein

Polyurethanes


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theory and reality are often in conflict. The exponential increase in computing power allows for finer grained simulations of larger volumes that can be harnessed by modern molecular dynamics, self‐consistent field, and coarse‐grained theoretical techniques. Additionally, advances in predictive intelligence from massive dataset analysis now allows researchers to better predict or simulate experimental results. Such advances have resulted in commercial software such as Materials Studio® and GeoDict® achieving wide use for prediction of polyurethane properties industrially.

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