Exascale-ready machine learning force fields

项目来源

芬(略)理(略)金(略)A(略)

项目主持人

未(略)

项目受资助机构

A(略)o(略)i(略)s(略)

项目编号

6(略)9

立项年度

2(略)

立项时间

未(略)

研究期限

未(略) (略)

项目级别

国(略)

受资助金额

1(略)7(略)0(略)

学科

P(略)i(略) (略)e(略)s

学科代码

未(略)

基金类别

R(略)a(略) (略)n(略) (略)F(略)a(略)T(略)e(略) (略)d(略) (略)j(略)s

关键词

T(略)i(略)a(略)e(略)y(略)k(略);(略)e(略)o(略)t(略)m(略)o(略)t(略)n(略) (略)u(略)t(略)o(略)e(略);(略)m(略)e(略);(略)c(略)o(略)t(略) (略)u(略)c(略)u(略)s

参与者

未(略)

参与机构

C(略)I(略)e(略)r(略)r(略)i(略)e

项目标书摘要:Th(略)scale-rea(略)learning (略)s)consort(略)t with th(略) to enabl(略)ition of (略)proximati(略)ls(GAPs)t(略)PU-based (略)e HPC arc(略)LUMI in p(略)he transi(略)PUs to GP(略)ts a majo(略) for comp(略)cientists(略)e existin(略)d to be a(略) differen(略)onal logi(略)a concert(略)etween co(略) physicis(略)ware expe(略) parts of(略)d TurboGA(略)hybrid ar(略).We will (略)p the met(略)required (略)he GAP fo(略)handle el(略) interact(略)ently and(略),and deal(略)oupling b(略)c and ele(略)rees of f(略)e new adv(略)be used t(略) interact(略) ions and(略) carbon m(略)r energy-(略)lications(略)gradation(略)ductors u(略)radiation(略)ts.

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