Computational Mathematics podcasts

Ethan Meitz and Jerry Wang discuss molecular simulation, heat transfer and the conversations that have shaped Meitz’s doctoral research. The episode connects computational methods with collaboration and mentoring, offering a practical view of research supported by the DOE Computational Science Graduate Fellowship.

Hosted by Sarah Webb

Ellen Zapata-Webborn discusses how mathematical research can help predict household energy use. The episode connects patterns in smart-meter data, human behaviour and the demands of electricity systems, illustrating how quantitative models can inform practical energy questions.

James Fergusson discusses artificial intelligence and data-intensive science, including how mathematical and computational approaches help researchers learn from complex datasets. The conversation connects research practice with the training needed to work across scientific disciplines.

Taylor Sparks and Oklahoma State University researcher Jake Bair discuss the history and methods of phase-field modelling. They explain how diffuse interfaces represent material transitions and support simulations of crack growth and dendritic structures. The episode links listeners to NIST’s Phase Field Community Hub for further technical resources.

Hosted by Taylor Sparks