Zobrazeno 1 - 10 of 106 pro vyhledávání: '"Matthew S, Dyer"'
1
Akademický článek
Element selection for functional materials discovery by integrated machine learning of elemental contributions to properties
Autor: Andrij Vasylenko, Dmytro Antypov, Vladimir V. Gusev, Michael W. Gaultois, Matthew S. Dyer, Matthew J. Rosseinsky
Publikováno v: npj Computational Materials, Vol 9, Iss 1, Pp 1-10 (2023)
Abstract The unique nature of constituent chemical elements gives rise to fundamental differences in materials. Assessing materials based on their phase fields, defined as sets of constituent elements, before specific differences emerge due to compos
Externí odkaz: https://doaj.org/article/6ed7d16fbf1d46259ea4dc5be79bd721
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2
Akademický článek
A database of experimentally measured lithium solid electrolyte conductivities evaluated with machine learning
Autor: Cameron J. Hargreaves, Michael W. Gaultois, Luke M. Daniels, Emma J. Watts, Vitaliy A. Kurlin, Michael Moran, Yun Dang, Rhun Morris, Alexandra Morscher, Kate Thompson, Matthew A. Wright, Beluvalli-Eshwarappa Prasad, Frédéric Blanc, Chris M. Collins, Catriona A. Crawford, Benjamin B. Duff, Jae Evans, Jacinthe Gamon, Guopeng Han, Bernhard T. Leube, Hongjun Niu, Arnaud J. Perez, Aris Robinson, Oliver Rogan, Paul M. Sharp, Elvis Shoko, Manel Sonni, William J. Thomas, Andrij Vasylenko, Lu Wang, Matthew J. Rosseinsky, Matthew S. Dyer
Publikováno v: npj Computational Materials, Vol 9, Iss 1, Pp 1-14 (2023)
Abstract The application of machine learning models to predict material properties is determined by the availability of high-quality data. We present an expert-curated dataset of lithium ion conductors and associated lithium ion conductivities measur
Externí odkaz: https://doaj.org/article/00a1f5eb159d46b38f5400b22e37fc41
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3
Akademický článek
Epitaxial growth, optical and electrical conductivity of the metallic pyrochlore Bi2Ru2O7 on Y-stabilized ZrO2 substrate
Autor: Marita O’Sullivan, Jonathan Alaria, Matthew S. Dyer, John B. Claridge, Michael W. Gaultois, Matthew J. Rosseinsky
Publikováno v: APL Materials, Vol 11, Iss 5, Pp 050702-050702-9 (2023)
Epitaxial heterostructures composed of complex correlated metal oxides, grown along specific crystallographic orientations, offer a route to investigating emergent phenomena such as topological states and spin liquids through geometrical lattice engi
Externí odkaz: https://doaj.org/article/a85363a0955546738950c79335918623
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4
Akademický článek
Element selection for crystalline inorganic solid discovery guided by unsupervised machine learning of experimentally explored chemistry
Autor: Andrij Vasylenko, Jacinthe Gamon, Benjamin B. Duff, Vladimir V. Gusev, Luke M. Daniels, Marco Zanella, J. Felix Shin, Paul M. Sharp, Alexandra Morscher, Ruiyong Chen, Alex R. Neale, Laurence J. Hardwick, John B. Claridge, Frédéric Blanc, Michael W. Gaultois, Matthew S. Dyer, Matthew J. Rosseinsky
Publikováno v: Nature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
Machine learning has the potential to significantly speed-up the discovery of new materials in synthetic materials chemistry. Here the authors combine unsupervised machine learning and crystal structure prediction to predict a novel quaternary lithiu
Externí odkaz: https://doaj.org/article/ada6eb69fea0458aa467799a13aadb44
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5
Akademický článek
Differential guest location by host dynamics enhances propylene/propane separation in a metal-organic framework
Autor: Dmytro Antypov, Aleksander Shkurenko, Prashant M. Bhatt, Youssef Belmabkhout, Karim Adil, Amandine Cadiau, Mikhail Suyetin, Mohamed Eddaoudi, Matthew J. Rosseinsky, Matthew S. Dyer
Publikováno v: Nature Communications, Vol 11, Iss 1, Pp 1-8 (2020)
Porous materials acting as molecular sieves for propylene/propane separation are important for the petrochemical industry. Here the authors show an example of how specific guest-host interactions can result in structural changes in the porous host an
Externí odkaz: https://doaj.org/article/0a34763c88324f6999e32f5851c8abfd
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6
Manipulation of the Structure and Optoelectronic Properties through Bromine Inclusion in a Layered Lead Bromide Perovskite
Autor: Lin-jie Yang, Wenye Xuan, David Webster, Lethy Krishnan Jagadamma, Teng Li, David N. Miller, David B. Cordes, Alexandra M. Z. Slawin, Graham A. Turnbull, Ifor D. W. Samuel, Hsin-Yi Tiffany Chen, Philip Lightfoot, Matthew S. Dyer, Julia L. Payne
Publikováno v: Chemistry of Materials. 35:3801-3814
Funding: J.L.P. thanks the University of St Andrews for funding and the Carnegie Trust for a Research Incentive Grant (RIG008653). The authors also thank EPSRC for funding (EP/T019298/1, EP/R023751/1 and EP/V034138/1). L.K.J. thanks UKRI for a Future
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bda29a6bab43d7dc39c9cf3c8926fb11
https://doi.org/10.1021/acs.chemmater.2c03125
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9
Akademický článek
Stable and ordered amide frameworks synthesised under reversible conditions which facilitate error checking
Autor: David Stewart, Dmytro Antypov, Matthew S. Dyer, Michael J. Pitcher, Alexandros P. Katsoulidis, Philip A. Chater, Frédéric Blanc, Matthew J. Rosseinsky
Publikováno v: Nature Communications, Vol 8, Iss 1, Pp 1-10 (2017)
Irreversible bond formation in covalent organic frameworks leads to amorphous materials. Here, the authors show that crystalline and ultra-stable covalent amide frameworks can be accessed by devitrification of amorphous polyamide networks.
Externí odkaz: https://doaj.org/article/9d2d19159ed34c43bb18cfbe02598c9c
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