Recipients of the 2019 Rising Stars in Computational Materials Science Award Announced

I am pleased to present the inaugural issue of Computational Materials Science that showcases the work of Rising Stars in the field. The aim of this issue and the Rising Stars prize is to recognize the accomplishments and promise of researchers in the early stages of their independent careers, are within 10 years of receiving their PhD, and that are working in the area of computational materials science and engineering. Nominations were solicited in December of 2017 and a list of 20 finalists selected who were invited to submit a short review article to this virtual special issue. The journal editors then evaluated the papers based on the technical merit, clarity of the presentation and the likely impact of the work. This was an extremely difficult process given the high quality of the papers submitted by the finalists.

The winners of the inaugural Computational Materials Science Rising Stars Prize are Mattieu Bauchy and Ed Tarleton, who each receive a certificate and a cash award.

Edmund Tarleton: Incorporating hydrogen in mesoscale models

Mathieu Bauchy: Deciphering the atomic genome of glasses by topological constraint theory and molecular dynamics: A review

To read the 16 finalist papers in the Rising Stars issue, please visit here: https://www.sciencedirect.com/journal/computational-materials-science/special-issue/10X4N37LC02.

I hope you enjoy reading the papers contained in this issue and appreciate the strong diverse talent that represents the future of the field.

 

We are now accepting nominations for inclusion in the 2020 Rising Stars in Computational Materials Science. For full details on how to nominate yourself or someone else, please visit here:

https://www.materialstoday.com/rising-stars-in-computational-2020

Susan B. Sinnott

Department of Materials Science and Engineering, Department of Chemistry, and Materials Research Insitute, The Pennsylvania State University,

University Park, PA 16801, United States