From BIG data to HOT extreme-properties of high entropy carbides carbo nitrides and borides
Stefano Curtarolo
Materials Science, Electrical Engineering and Physics Director, Center for Extreme Materials Duke University

Thu., Oct. 17, 2024, 1:40 p.m.
This seminar is held in presence and online.
Room: HAL 115
Online: Zoom link of our Chair

Google Scholar


The need for improved functionalities in extreme environments is fueling interest in high entropy ceramics While resilient compositions can be stabilized by maximizing entropy still the search for new systems is mostly performed with trial and error and phenomenological techniques, as effective computational discovery is challenged by the immense number of configurations the synthesizability of high entropy ceramics is typically assessed using ideal entropy along with the formation enthalpies from density functional theory, with simplified descriptors or machine learning methods. With re spect to vibrations even if they may have significant impact on phase stability their contributions are drastically approximated to reduce the high computational cost, or often avoided with the hope of them being negligible, due to the technical difficulties posed in calculating disordered systems. In this presentation I will address many of the problems solutions in the discovery of disordered ceramics [Nature, 625, 66 (2024)] offer some data based effective solutions [Nat. Comms15, 3328 (2024)] , and discuss the avenues opened by the latter, especially for plasmonic hyperbolic applications ripe for ultra high temperature photocatalysis discoveries [Nat.Comms13, 5993 (2022)].


Brief CV

Prof. Curtarolo is a Materials Scientist interested in disordered systems. His research interests lie at the intersection of materials science, artificial intelligence, and autonomous discovery of extreme materials. His current research focuses on theory and discovery of disordered super hard and ultra high temperature ceramics and machine learning approaches to phase stability of complex mixtures. After graduating from MIT in 2003, he joined Duke University where he is now Edmund T. Pratt, Jr. Distinguished Professor. Stefano received many national/international awards and recognitions (e.g., ONR Yip, NSF Career, PECASE, IUPAP, Humboldt.Bessel, Weizmann, APS/MRS/IOP fellowship, European Academy of Science, Clarivate Highly Cited 2021,2022, 2023 and 2024). At Duke, he directs the Center for Extreme Materials, which is dedicated to research in ultra high temperature materials. The Center and the consortium have also organized several educational [aflow.org/aflow-school/] and outreach initiatives in accelerated materials design [aflow.org/seminars/]. Updated cv is available here https://materials.duke.edu/



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From BIG data to HOT extreme-properties of high entropy carbides carbo nitrides and borides
Stefano Curtarolo
Materials Science, Electrical Engineering and Physics Director, Center for Extreme Materials Duke University

Thu., Oct. 17, 2024, 1:40 p.m.
This seminar is held in presence and online.
Room: HAL 115
Online: Zoom link of our Chair

Google Scholar


The need for improved functionalities in extreme environments is fueling interest in high entropy ceramics While resilient compositions can be stabilized by maximizing entropy still the search for new systems is mostly performed with trial and error and phenomenological techniques, as effective computational discovery is challenged by the immense number of configurations the synthesizability of high entropy ceramics is typically assessed using ideal entropy along with the formation enthalpies from density functional theory, with simplified descriptors or machine learning methods. With re spect to vibrations even if they may have significant impact on phase stability their contributions are drastically approximated to reduce the high computational cost, or often avoided with the hope of them being negligible, due to the technical difficulties posed in calculating disordered systems. In this presentation I will address many of the problems solutions in the discovery of disordered ceramics [Nature, 625, 66 (2024)] offer some data based effective solutions [Nat. Comms15, 3328 (2024)] , and discuss the avenues opened by the latter, especially for plasmonic hyperbolic applications ripe for ultra high temperature photocatalysis discoveries [Nat.Comms13, 5993 (2022)].


Brief CV

Prof. Curtarolo is a Materials Scientist interested in disordered systems. His research interests lie at the intersection of materials science, artificial intelligence, and autonomous discovery of extreme materials. His current research focuses on theory and discovery of disordered super hard and ultra high temperature ceramics and machine learning approaches to phase stability of complex mixtures. After graduating from MIT in 2003, he joined Duke University where he is now Edmund T. Pratt, Jr. Distinguished Professor. Stefano received many national/international awards and recognitions (e.g., ONR Yip, NSF Career, PECASE, IUPAP, Humboldt.Bessel, Weizmann, APS/MRS/IOP fellowship, European Academy of Science, Clarivate Highly Cited 2021,2022, 2023 and 2024). At Duke, he directs the Center for Extreme Materials, which is dedicated to research in ultra high temperature materials. The Center and the consortium have also organized several educational [aflow.org/aflow-school/] and outreach initiatives in accelerated materials design [aflow.org/seminars/]. Updated cv is available here https://materials.duke.edu/



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