COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |
University of Cambridge > Talks.cam > MSM-AIMR Joint Online Workshop 2020 > Stochastic sampling of material structure space
Stochastic sampling of material structure spaceAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Joseph Nelson. Over the last decade, high pressure and materials research has been transformed by the ability to predict both the structures and properties of materials from first principles. In many cases these predictions have been later confirmed by experiment. In others they have provided fruitful new directions to explore. This progress has been achieved through the combination of stochastic approaches with reliable and efficient first principles methods. Diverse ensembles of initial structures can be generated, and structurally optimized. The resulting low energy structures are candidates for stable, and metastable, phases and/or defects and interfaces that might be experimentally realized. Success, of course, depends on a sufficiently broad and thorough sampling of configuration space. A purely random strategy, as employed by Ab Initio Random Structure Searching (AIRSS) [1,2] is entirely parallel, and a natural fit to the high throughput computation (HTC) paradigm. Challenging cases can be tackled by designing the initial random structures so that they focus the search in regions of configuration space that are anticipated to yield success. The design of these random “sensible” structures will be explored, along with some new directions [3] which promise to help our understanding of, and accelerate random search, along with applications to high pressure and materials research – from dense hydrides approaching room temperature superconductivity, to surprising astrophysical reactions and complex interfacial materials. References: [1] C. J. Pickard, and R. J. Needs, Phys. Rev. Lett., 97 (4), 045504 (2006) ; C. J. Pickard, and R. J. Needs, JPCM, 23(5), 053201 (2011) [2] Released under the GPL2 license: http://www.mtg.msm.cam.ac.uk/Codes/AIRSS [3] C. J. Pickard, “Hyperspatial optimization of structures”, Phys. Rev. B, 99, 054102 (2019) This talk will be held online using Zoom. Please register your email address here to receive Zoom links via email. Workshop website: https://www.mtg.msm.cam.ac.uk/events/msm-aimr-joint-online-workshop-2020 This talk is part of the MSM-AIMR Joint Online Workshop 2020 series. This talk is included in these lists:Note that ex-directory lists are not shown. |
Other lists12th Annual Disability Lecture Quantum Information Biological and Biomedical PhysicsOther talksFive things about the cold forearc mantle wedge Strategies to target senescence Blood in Motion: The Physics of Blood Flow The 4th Annual Symposium on the Digital Person (Online) Plasmonic Magnesium Nanoparticles “Misinformation, pseudoscience and the unhealthy commodity industries” |