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检索条件"作者=Gus MCFARlANE"
64 条 记 录,以下是1-10 订阅
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Livestock breeding for the 21st century: the promise of the editing revolution
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Frontiers of Agricultural Science and Engineering 2020年 第2期7卷 129-135页
作者: Chris PROUDFOOT gus mcfarlane Bruce WHITELAW Simon LILLICO The Roslin Institute and Royal(Dick)School of Veterinary Studies University of EdinburghEaster BushMidlothianEH259RGUK
In recent years there has been a veritable explosion in the use of genome editors to create sitespecific changes,both in vitro and in vivo,to the genomes of a multitude of species for both basic research and ***,which... 详细信息
来源: 维普期刊数据库 维普期刊数据库 同方期刊数据库 同方期刊数据库 评论
Nonstationary laser-supported ionization wave in layer of porous substance with subcritical density
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Matter and Radiation at Extremes 2024年 第1期9卷 58-70页
作者: S.Yu gus’kov R.A.Yakhin P.N.Lebedev Physical Institute of Russian Academy of Sciences Leninskii Prospect 53Moscow 119991Russia
A time-dependent analytical solution is found for the velocity of a plane ionization wave generated under nanosecond laser pulse action on the surface of a flat layer of low-Z porous substance with density less than t... 详细信息
来源: 维普期刊数据库 维普期刊数据库 评论
Bond Valence Sum Analysis of Tl(Ⅰ) and Tl(Ⅲ) Complexes with O and N Donors
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Chinese Journal of Structural Chemistry 2011年 第12期30卷 1820-1826页
作者: gus J.Palenika 胡盛志 Chemistry Department The University of Florida Department of Chemistry Institute of Physical ChemistryXiamen University
The influence of the lone pair of electrons in thallium complexes is analyzed using the bond valence sum *** length data for metal-organic Tl complexes were obtained from the Cambridge Structural Database(CSD),and p... 详细信息
来源: 维普期刊数据库 维普期刊数据库 同方期刊数据库 同方期刊数据库 评论
Discovering the building blocks of atomic systems using machine learning:application to grain boundaries
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npj Computational Materials 2017年 第1期3卷 212-218页
作者: Conrad W.Rosenbrock Eric R.Homer Gabor Csanyi gus L.W.Hart Department of Physics and Astronomy Brigham Young UniversityProvoUT 84602USA Department of Mechanical Engineering Brigham Young UniversityProvoUT 84602USA Engineering Laboratory University of CambridgeTrumpington StreetCambridge CB21PZUK
Machine learning has proven to be a valuable tool to approximate functions in high-dimensional ***,analysis of these models to extract the relevant physics is never as easy as applying machine learning to a large data... 详细信息
来源: 维普期刊数据库 维普期刊数据库 评论
Petrogenesis, LA-ICP-MS zircon U-Pb geochronology and geodynamic implications of the Kribi metavolcanic rocks,Nyong Group, Congo craton
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Acta Geochimica 2022年 第3期41卷 470-495页
作者: Hermine Mvodo Sylvestre Ganno gus Djibril Kouankap Nono Donald Hermann Fossi Philomene Estelle Nga Essomba Marvine Nzepang Tankwa Jean Paul Nzenti Department of Earth Sciences University of YaoundéIP.O.Box 812YaoundeCameroon Department of Geology HTTCUniversity of BamendaP.O.Box 39BambiliBamendaCameroon Institute for Geological and Mining Research P.O.Box 4110YaoundéCameroon Faculty of Mines and Petroleum Industries University of MarouaKaélé08MarouaCameroon
Metavolcanic rocks are well-exposed in the Kribi area within the Nyong Group, Congo craton, but their origin, age, and tectonic significance are poorly *** we report integrated field mapping and petrography,geochemist... 详细信息
来源: 维普期刊数据库 维普期刊数据库 同方期刊数据库 同方期刊数据库 评论
A General Algorithm for Calculating Irreducible Brillouin Zones
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Communications in Computational Physics 2022年 第2期31卷 495-515页
作者: Jeremy J.Jorgensen John E.Christensen Tyler J.Jarvis gus L.W.Hart Department of Physics and Astronomy Brigham Young UniversityProvoUtah84602USA Department ofMathematics BrighamYoungUniversityProvoUtah84602USA
Calculations of properties of materials require performing numerical integrals over the Brillouin zone(BZ).Integration points in density functional theory codes are uniformly spread over the BZ(despite integration err... 详细信息
来源: 维普期刊数据库 维普期刊数据库 评论
Machine-learned interatomic potentials for alloys and alloy phase diagrams
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npj Computational Materials 2021年 第1期7卷 139-147页
作者: Conrad W.Rosenbrock Konstantin Gubaev Alexander VShapeev Livia B.Pártay Noam Bernstein Gábor Csányi gus L.W.Hart Department of Physics and Astronomy Brigham Young UniversityProvoUTUSA84602 Skolkovo Institute of Science and Technology Skolkovo Innovation CenterNobel Str.3Moscow 143026Russia Department of Chemistry University of ReadingWhiteknightsReading RG66ADUK Department of Chemistry University of WarwickCoventry CV47ALUK US Naval Research Laboratory Center for Computational Materials ScienceWashingtonDC 20375USA Department of Engineering University of CambridgeTrumpington StreetCambridge CB21PZUK
We introduce machine-learned potentials for Ag-Pd to describe the energy of alloy configurations over a wide range of *** compare two different *** tensor potentials(MTPs)are polynomial-like functions of interatomic d... 详细信息
来源: 维普期刊数据库 维普期刊数据库 评论
Extreme matter compression caused by radiation cooling effect in gigabar shock wave driven by laser-accelerated fast electrons
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Matter and Radiation at Extremes 2021年 第2期6卷 1-7页
作者: S.Yu.gus’kov P.A.Kuchugov G.A.Vergunova P.N.Lebedev Physical Institute of the Russian Academy of Sciences MoscowRussia Keldysh Institute of Applied Mathematics of the Russian Academy of Sciences MoscowRussia
Heating a solid material with laser-accelerated fast electrons is a particularly useful method for generating a plane powerful shock wave with a pressure of several hundred or even thousands of Mbar in the *** the fro... 详细信息
来源: 维普期刊数据库 维普期刊数据库 评论
The concept of self-consistent field applied to the inviscid suspensions
The concept of self-consistent field applied to the inviscid...
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23rd International Congress of Theoretical and Applied Mechanics
作者: Oleg B.gus’kov Institute of Applied Mechanics Russin Academy of SciencesMoscowRussia
<正>The concept of self-consistent field,well known in physics,is applied to the problem of hydrodynamic interaction of spherical par- ticles in inviscid potential *** classic boundary-value problem is reduced to th...
来源: cnki会议 评论
Machine-learned multi-system surrogate models for materials prediction
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npj Computational Materials 2019年 第1期5卷 702-707页
作者: Chandramouli Nyshadham Matthias Rupp Brayden Bekker Alexander V.Shapeev Tim Mueller Conrad W.Rosenbrock Gábor Csányi David W.Wingate gus L.W.Hart Department of Physics and Astronomy Brigham Young UniversityProvoUT 84602USA Fritz Haber Institute of the Max Planck Society Faradayweg 4–614195 BerlinGermany Skolkovo Institute of Science and Technology Skolkovo Innovation CenterBuilding 3Moscow 143026Russia Department of Materials Science and Engineering Johns Hopkins UniversityBaltimoreMD 21218USA Engineering Laboratory University of CambridgeTrumpington StreetCambridge CB21PZUK Computer Science Department Brigham Young UniversityProvoUT 84602USA Citrine Informatics 702 Marshall StreetRedwood CityCA 94063USA
Surrogate machine-learning models are transforming computational materials science by predicting properties of materials with the accuracy of ab initio methods at a fraction of the computational *** demonstrate surrog... 详细信息
来源: 维普期刊数据库 维普期刊数据库 评论