Coupling Computation, Data Science and Experiments in Physical Metallurgy

The Gordon Research Seminar on Physical Metallurgy is a unique forum for graduate students, post-docs, and other scientists with comparable levels of experience and education to present and exchange new data and cutting edge ideas.

The past few years have witnessed a dramatic increase of the pace of application of advanced data science methods such as machine learning to digital microstructures and related properties. In addition, in situ and in operando experimental techniques to characterize 3D microstructures and measure time-dependent evolution under applied fields are providing completely new research platforms to quantify deformation and damage mechanisms in alloy systems. This confluence of science and technology advances related to the digital frontier of materials informatics is expected to broadly and fundamentally transform both the education and research and development enterprises. A primary goal of this Gordon Research Seminar will be to provide the attending researchers an exploration of these demonstrated advances in coupling computation, data science and experiments to enhance depth of scientific understanding and the rate of its acquisition as a primer to the Gordon Research Conference on the same topic.

As a part of the mentorship and profession development component of this Gordon Research Seminar, programming will be provided to foster an educational and open discussion around the topic of diversity in the field of Physical Metallurgy, particularly regarding the support, understanding, and advancement of racial, ethnic, gender, and lesbian, gay, bisexual, transgender, and queer (LGBTQ+) minorities.