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Nenian Wins Ovshinsky Travel Award to Attend the APS March Meeting

by James M Rondinelli | Jan 10, 2017 | Award and Honors, News

Nenian receives one of ten Ovshinsky Student Travel Awards from the American Physical Society (APS) Division of Materials Physics/Division of Condensed Matter Physics (DMP/DCMP) for the 2017 APS March Meeting in New Orleans. The Ovshinsky Awards are named after...

Daniel Named Finalist in KAUST DIY Electronic Innovation Challenge

by James M Rondinelli | Jan 2, 2017 | Award and Honors, News

Daniel Hickox-Young has been named a finalist in the KAUST (King Abdullah University of Science and Technology) DIY Electronic Innovation Challenge. He has been invited to attend the 2017 KAUST-NSF Researh Conference on Interactive Electronics for his work designing a...

MTD Group Members Present at the 2016 Fall MRS Meeting

by James M Rondinelli | Dec 1, 2016 | Conference Presentation, Invited Talk, News

Danilo and Liang attended the 2016 Fall MRS Meeting and presented their work in two symposia: Danilo presented an oral contribution in Symposium EM5-Materials and Mechanisms of Correlated Electronic Phenomena in Oxide Heterostructures titled “Design Strategy for...

Rondinelli Presents Invited Talk at the CNMS User Meeting

by James M Rondinelli | Aug 11, 2016 | Invited Talk, News

Professor Rondinelli presents an invited talk titled “Design of New Multiferroics at the Interfaces of Conducting Complex Oxides,” at the 2016 CNMS Users Meeting at Oak Ridge National Laboratory in the Directed Assembly of Materials and Interfaces session....

Summer BBQ to Celebrate Emerys’ MS Defense!

by James M Rondinelli | Aug 3, 2016 | News, Other

MTD Group members gathered at Prof. Rondinelli’s to celebrate Emrys Tennessen passing his MS Defense and to enjoy the mild Chicago summer. Missing group members were globetrotting abroad.

Whither Machine Learning in Materials Science

by James M Rondinelli | Jul 16, 2016 | Article Appeared, News

Nicholas Wagner and Prof. Rondinelli lay out their concerns about the proper application of data science methods in their article, Theory-Guided Machine Learning in Materials Science appearing in the open-access journal Frontiers in Materials. Drawing upon both the...
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