维普期刊资源整合服务平台（V6.5）

维普中文期刊产品整合服务

8篇 您的检索式：作者名="Christopher CS"

选中清除导出查看参考文献查看引证文献引用追踪共1页首页上一页第1页下一页末页 /1 跳转

		题名	作者	年代	出处	被引量
	1	Performant implementation of the atomic cluster expansion(PACE)and application to copper and silicon显示文摘The atomic cluster expansion is a general polynomial expansion of the atomic energy in multi-atom basis functions.Here we implement the atomic cluster expansion in the performant C++code PACE that is suitable for use in large-scale atomistic simulations.We briefly review the atomic cluster expansion and give detailed expressions for energies and forces as well as efficient algorithms for their evaluation.We demonstrate that the atomic cluster expansion as implemented in PACE shifts a previously established Pareto front for machine learning interatomic potentials toward faster and more accurate calculations.Moreover,general purpose parameterizations are presented for copper and silicon and evaluated in detail.We show that the Cu and Si potentials significantly improve on the best available potentials for highly accurate large-scale atomistic simulations.	Yury Lysogorskiy Cas van der Oord Anton Bochkarev Sarath Menon Matteo Rinaldi Thomas Hammerschmidt Matous Mrovec Aidan Thompson Gábor Csányi Christoph Ortner Ralf Drautz	2021	npj Computational Materials2021，，1：	3
	2	Far posterior subtem- poral approach to the dorsolateral brainstem and tentorial ring: technique and clinical experience 显示文摘	Smith ER Christopher PH Ogilvy CS	2003	Neurosurgery2003，52，：	1
	3	Management of congenital nonpigmented iris cyst显示文摘	Christopher CS Peter AN Matthew WW	2006	Ophthalmology2006，113，：	1
	4	Hyperactive learning for data-driven interatomic potentials显示文摘Data-driven interatomic potentials have emerged as a powerful tool for approximating ab initio potential energy surfaces.The most time-consuming step in creating these interatomic potentials is typically the generation of a suitable training database.To aid this process hyperactive learning(HAL),an accelerated active learning scheme,is presented as a method for rapid automated training database assembly.HAL adds a biasing term to a physically motivated sampler(e.g.molecular dynamics)driving atomic structures towards uncertainty in turn generating unseen or valuable training configurations.The proposed HAL framework is used to develop atomic cluster expansion(ACE)interatomic potentials for the AlSi10 alloy and polyethylene glycol(PEG)polymer starting from roughly a dozen initial configurations.The HAL generated ACE potentials are shown to be able to determine macroscopic properties,such as melting temperature and density,with close to experimental accuracy.	Cas van der Oord Matthias Sachs Dávid Péter Kovács Christoph Ortner Gábor Csányi	2023	npj Computational Materials2023，，1：	1
	5	Far posterior subtemporal approach to the dorsolateral brainstem and tentorial ring:technique and clinical experience显示文摘	Smith ER Christopher PH Ogilvy CS	2003	Neurosurgery2003，52，2：	1
	6	Time-resolved fluorometric immunoassay for rubella antibodya useful method for serosurveillance studies显示文摘	Christopher Maple PA Jones CS	2002	Vaccine2002，20，：	1
	7	Intramural Hematoma of the Aorta: Predictors of Progression to Dissection and Rupture显示文摘	Yskert von Kodolitsch Susanne K. Cs?sz Dietmar H. Koschyk Ilka Schalwat Roger Loose Matthias Karck Christoph Dieckmann Rossella Fattori Axel Haverich Jürgen Berger Thomas Meinertz Christoph A. Nienaber	2003	Circulation: Journal of the American Heart Association2003，，8：	1
	8	Host cyclooxygenase-2 modulates carcinoma growth 显示文摘	Christopher S Williams CS Masahiko T	2000	Clin Invest2000，105，11：	1

返回顶部每页显示：

共1页首页上一页第1页下一页末页 /1 跳转

goolge学术搜索-维普

网站首页 | 关于我们 | 联系我们 | 产品服务 | 客服中心 | 广告服务 | 版权声明 | 网站联盟 | 友情链接 | 售卡网点

版权所有© 渝B2-20050021-1　渝公网安备 50019002500403号　违法和不良信息举报中心

互联网出版许可证新出网证(渝)字10号全国400电话 - 免长途话费