911 Computational Methods for Property Determination

David Salac, University at Buffalo
Paul Bauman, University at Buffalo
In addition to experimental investigations, modelling and simulation have now become one of the main pillars of scientific investigation and engineering analysis for material systems. Modern computational infrastructure enables mathematical models to quantify the uncertainty of complex predictions, which allows for detailed material property predictions to be made. Critical to the use of mathematical models as mechanisms for property estimation, is the availability of quantified uncertainty from the experimental data from which the models are calibrated. Despite the importance of experimental uncertainty in the calibration process, and the utility of simulations in designing experimental investigations, computational and experimental scientists largely act independently.

To advance the state-of-the-art, it is vital that modelling and experimental investigations become more collaborative. The purpose of this session is to bring together scientists to discuss the understanding of uncertainty in material systems from multiple perspectives. We invite speakers from the broadest possible application areas, such as those investigating fluid, soft-matter, or more classical materials systems.

Keywords: Material Properties, Uncertainty Quantification, Material System Modelling