New Outlooks on Materials Data and Science

Emerging materials are essential to advance defense, healthcare, clean energy, and economic security, however the time to bring a new material to market after initial discovery can take 20 or more years. Accelerating the entry of new materials to industry is a critical 21st century challenge that will require a multidisciplinary approach that spans traditional materials research, computation, and data sciences.

IMat leadership has been active in publishing position pieces and novel contributions to next generation materials data science and design approaches in early 2019. We invite you to explore these new topics below:

A Bayesian Framework For Materials Knowledge Systems

Surya R. Kalidindi

MRS Communications

https://doi.org/10.1557/mrc.2019.56

 

Multifidelity Information Fusion with Machine Learning: A Case Study of Dopant Formation Energies in Hafnia

Rohit Batra, Ghanshyam Pilania, Blas P. Uberuaga, and Rampi Ramprasad

ACS Applied Materials & Interfaces Article ASAP

https://pubs.acs.org/doi/abs/10.1021/acsami.9b02174

 

Systems Approaches to Materials Design: Past, Present, and Future

Raymundo Arróyave, David L. McDowellResearch

Annual Review of Materials Research

https:/doi.org/10.1146/annurev-matsci-070218-125955

Future Workforce for Materials Innovation

Our researchers of tomorrow will need to expand the boundaries of traditional materials disciplines.

Accelerating Discovery & Development

Using interdisciplinary collaboration and strategic partnerships is critical. FLAMEL establishes new models to this end.

Shared Resources Initiatives

The materials community has access to an extensive array of both centralized and distributed research facilities across campus, including the Materials Characterization Facility.

E-Collaboration, Data Sciences & Informatics

IMat links research teams and enhances access of data. MATIN is one way of making this possible.