Fluid Property Measurements

Diego Cristancho, Dow
Tara Lovestead, NIST

The sessions on Fluid Property Measurements are a forum for reports of experimental studies of thermophysical properties in broad ranges of pressure, temperature, and composition, including safe handling of toxic and corrosive compounds. Emphasis should be placed on the industrial relevance (e.g., chemical, material science, energy, and pharmaceutical industries) of the results and/or their scientific significance to better understand molecular interactions, to advance property models and databases, or to benchmark fundamental modeling and simulation results. Presenters are encouraged to highlight advancements in artificial intelligence (AI) methods for measurement and analysis, such as machine learning techniques for data interpretation, predictive modeling, and automated detection of anomalies in fluid property datasets. These innovative AI approaches can accelerate research, improve accuracy, and open new possibilities for understanding complex fluid systems. The topic, scope, and style of the presentations should fit the broad audience of these sessions.