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在“
Elsevier电子期刊
”中,
命中:
48,156
条,耗时:0.045979 秒
在所有数据库中总计命中:
111,165
条
1.
Combining Total
Monte
Carlo and Unified Monte Carlo: Baye
s
ian nuclear data uncertainty quantification from auto-generated experimental covariance
s
作者:
P.
H
elge
ss
on<
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up>a
s
up><
s
up>
;
s
up><
s
up>b
s
up><
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;
s
up><
s
up>petter.
h
elge
ss
on@p
h
y
s
ic
s
.uu.
s
e
s
up>
;
H
.
Sj
ö
;
s
trand<
s
up>a
s
up>
;
A.
J
. Koning<
s
up>a
s
up><
s
up>
;
s
up><
s
up>b
s
up>
;
J
. Rydé
;
n<
s
up>c
s
up>
;
D. Roc
h
man<
s
up>d
s
up>
;
E. Al
h
a
ss
an<
s
up>a
s
up>
;
S
. Pomp<
s
up>a
s
up>
关键词:
Nuclear data
;
Uncertainty propagation
;
Total
Monte
Carlo
;
Experimental correlation
s
;
Unified
Monte
Carlo
刊名:Progre
ss
in Nuclear Energy
出版年:2017
2.
An importance
s
ampling tec
h
nique in
Monte
Carlo met
h
od
s
for SDE
s
wit
h
a.
s
.
s
table and mean-
s
quare un
s
table equilibrium
作者:
M. Ableidinger<
s
up>a
s
up><
s
up>
;
s
up><
s
up>Marku
s
.Ableidinger@
j
ku.at
s
up>
;
E. Buckwar<
s
up>a
s
up><
s
up>
;
s
up><
s
up>b
s
up><
s
up>
;
s
up><
s
up>Evelyn.Buckwar@
j
ku.at
s
up>
;
A. T
h
al
h
ammer<
s
up>b
s
up><
s
up>
;
s
up><
s
up>Andrea
s
.T
h
al
h
ammer@
j
ku.at
s
up>
关键词:
Monte
Carlo e
s
timator
s
;
S
y
s
tem
s
of linear SDE
s
;
A
s
ymptotic almo
s
t
s
ure
s
tability
;
A
s
ymptotic mean-
s
quare
s
tability
;
Variance reduction
;
Rare event
s
imulation
刊名:
J
ournal of Computational and Applied Mat
h
ematic
s
出版年:2017
3.
Monte
Carlo
s
imulation for kinetic c
h
emotaxi
s
model: An application to t
h
e traveling population wave
作者:
Sh
ugo Ya
s
uda<
s
up>1
s
up><
s
up>
;
s
up><
s
up>ya
s
uda@
s
im.u-
h
yogo.ac.
j
p
s
up>
关键词:
C
h
emotaxi
s
;
Bacteria
;
Kinetic t
h
eory
;
Monte
Carlo
s
imulation
刊名:
J
ournal of Computational P
h
y
s
ic
s
出版年:2017
4.
Implementation of t
h
e n-body
Monte
-Carlo event generator into t
h
e Geant4 toolkit for p
h
otonuclear
s
tudie
s
作者:
Wen Luo<
s
up>a
s
up><
s
up>
;
s
up><
s
up>wenluo-ok@163.com
s
up>
;
H
ao-yang Lan<
s
up>a
s
up>
;
Yi Xu<
s
up>b
s
up>
;
Dimiter L. Balaban
s
ki<
s
up>b
s
up>
关键词:
P
h
otonuclear reaction
s
;
Particle
s
ource
s
and target
s
;
Monte
Carlo
s
imulation
s
;
Medical radioi
s
otope
s
刊名:Nuclear In
s
trument
s
and Met
h
od
s
in P
h
y
s
ic
s
Re
s
earc
h
Section A: Accelerator
s
, Spectrometer
s
, Detector
s
and A
ss
ociated Equipment
出版年:2017
5.
Efficient Markov C
h
ain
Monte
Carlo for combined
S
ub
s
et Simulation and nonlinear finite element analy
s
i
s
作者:
David K.E. Green <
s
up>d.k.green@un
s
w.edu.au
s
up>
关键词:
Markov C
h
ain
Monte
Carlo
;
Random field
s
;
S
ub
s
et
s
imulation
;
Finite element
s
;
Reliability
;
Probability of failure
刊名:Computer Met
h
od
s
in Applied Mec
h
anic
s
and Engineering
出版年:2017
6.
A new
Monte
Carlo met
h
od for neutron noi
s
e calculation
s
in t
h
e frequency domain
作者:
Amé
;
lie Rouc
h
on <
s
up>amelie.rouc
h
on@cea.fr
s
up>
;
Andrea Zoia<
s
up>
;
s
up><
s
up>andrea.zoia@cea.fr
s
up>
;
Ric
h
ard
S
anc
h
ez <
s
up>ric
h
ard.
s
anc
h
ez@cea.fr
s
up>
关键词:
Neutron noi
s
e
;
Monte
Carlo
;
Frequency domain
;
Complex
s
tati
s
tical weig
h
t
s
刊名:Annal
s
of Nuclear Energy
出版年:2017
7.
Commi
ss
ioning
Monte
Carlo algorit
h
m for robotic radio
s
urgery u
s
ing cylindrical 3D-array wit
h
variable den
s
ity in
s
ert
s
作者:
D. Dec
h
ambre<
s
up>
;
s
up><
s
up>ddec
h
ambre@c
h
u.ulg.ac.be
s
up>
;
V. Baart
;
S
. Cucc
h
iaro
;
C. Ern
s
t
;
N.
J
an
s
en
;
P. Berkovic
;
C. Mievi
s
;
P. Coucke
;
A. Gulyban
关键词:
CyberKnife
;
S
BRT
;
Monte
-Carlo commi
ss
ioning
;
Pretreatment verification
刊名:P
h
y
s
ica Medica
出版年:2017
8.
Computing t
h
e variance of a conditional expectation via non-ne
s
ted
Monte
Carlo
作者:
Taka
sh
i Goda <
s
up>goda@frcer.t.u-tokyo.ac.
j
p
s
up>
关键词:
Variance of a conditional expectation
;
Monte
Carlo e
s
timation
;
Pick-freeze
s
c
h
eme
;
Bia
s
correction
刊名:Operation
s
Re
s
earc
h
Letter
s
出版年:2017
9.
Validation of
Monte
Carlo Geant4 code for a 6 hsp>MV Varian linac
作者:
J
aafar EL Bakkali<
s
up>
;
s
up><
s
up>ba
h
med
j
@gmail.com
s
up>
;
Tarek EL Bardouni <
s
up>tarek.elbardouni@gmail.com
s
up>
关键词:
Monte
Carlo
;
Linac
;
Varian
;
G4Linac
;
Geant4
;
Brem
ss
tra
h
lung
s
plitting tec
h
nique
刊名:
J
ournal of King
S
aud Univer
s
ity - Science
出版年:2017
10.
A
Monte
Carlo
s
imulation code for calculating damage and particle tran
s
port in
s
olid
s
: T
h
e ca
s
e for electron-bombarded
s
olid
s
for electron energie
s
up to 900 MeV
作者:
Qiang Yan<
s
up>a
s
up>
;
Lin
Sh
ao<
s
up>b
s
up><
s
up>
;
s
up><
s
up>l
sh
ao@tamu.edu
s
up>
关键词:
Monte
Carlo
s
imulation
;
Electron radiation
;
Di
s
placement damage
;
Amorp
h
ou
s
s
olid
s
刊名:
J
ournal of Nuclear Material
s
出版年:2017
1
2
3
4
5
6
7
8
9
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