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The exponential increase in available computing power has made it possible to generate and analyze large amounts of materials data.  One of the leading challenges in materials science and engineering is determining how to best make use of this abundance of materials data to accelerate the development of new materials-based technologies.

MATDAT18 is an NSF-funded “hackathon” in which teams, each composed of both materials (“mat”) researchers and data (“dat”) scientists, will work together to apply advanced data science methods to address important, challenging problems in materials science and engineering.  The goal of this hackathon is to spark new collaborations in which important, challenging problems in materials science are addressed in novel ways by leading methods in data science.  It is expected that as a result of this workshop, the most successful teams will pursue additional funding and resources to build upon their successful collaboration.

MATDAT18 is supported by Molecular Systems Design & Engineering

Molecular Systems Design & Engineering provides a hub for cutting-edge research into how understanding of molecular properties, behaviour and interactions can be used to design and assemble better materials, systems, and processes to achieve specific functions. Chaired by Juan de Pablo at the Institute of Molecular Engineering in Chicago, the journal is a joint venture between the Royal Society of Chemistry and the Institution of Chemical Engineers, and brings together experimental and theoretical research from physics, biology, chemistry, engineering, and materials science.