100 related articles for article (PubMed ID: 21694140)
1. Two-dimensional pattern reverse Monte Carlo method for modelling the structures of nano-particles in uniaxial elongated rubbers.
Hagita K; Arai T; Kishimoto H; Umesaki N; Shinohara Y; Amemiya Y
J Phys Condens Matter; 2007 Aug; 19(33):335217. PubMed ID: 21694140
[TBL] [Abstract][Full Text] [Related]
2. First example of multi-scale reverse Monte Carlo modeling for small-angle scattering experimental data using reverse mapping from coarse-grained particles to atoms.
Hagita K; McGreevy RL; Arai T; Inui M; Matsuda K; Tamura K
J Phys Condens Matter; 2010 Oct; 22(40):404215. PubMed ID: 21386576
[TBL] [Abstract][Full Text] [Related]
3. Characterization of polymer-silica nanocomposite particles with core-shell morphologies using Monte Carlo simulations and small angle X-ray scattering.
Balmer JA; Mykhaylyk OO; Schmid A; Armes SP; Fairclough JP; Ryan AJ
Langmuir; 2011 Jul; 27(13):8075-89. PubMed ID: 21661736
[TBL] [Abstract][Full Text] [Related]
4. RMCSANS--modelling the inter-particle term of small angle scattering data via the reverse Monte Carlo method.
Gereben O; Pusztai L; McGreevy RL
J Phys Condens Matter; 2010 Oct; 22(40):404216. PubMed ID: 21386577
[TBL] [Abstract][Full Text] [Related]
5. The First Eighteen Years of Reverse Monte Carlo Modelling, a workshop held in Budapest, Hungary (28-30th September 2006).
Keen DA; Pusztai L
J Phys Condens Matter; 2007 Aug; 19(33):330301. PubMed ID: 21694123
[TBL] [Abstract][Full Text] [Related]
6. Particle-mesh two-dimensional pattern reverse Monte Carlo analysis on filled-gels during uniaxial expansion.
Hagita K
Soft Matter; 2019 Sep; 15(36):7237-7249. PubMed ID: 31478543
[TBL] [Abstract][Full Text] [Related]
7. Topological validation of morphology modeling by extended reverse Monte Carlo analysis.
Hagita K; Teramoto T
Phys Rev E Stat Nonlin Soft Matter Phys; 2008 May; 77(5 Pt 2):056704. PubMed ID: 18643192
[TBL] [Abstract][Full Text] [Related]
8. Structure factors of dispersible units of carbon black filler in rubbers.
Koga T; Takenaka M; Aizawa K; Nakamura M; Hashimoto T
Langmuir; 2005 Nov; 21(24):11409-13. PubMed ID: 16285818
[TBL] [Abstract][Full Text] [Related]
9. Rupture and regeneration of colloidal crystals as studied by two-dimensional ultra-small-angle X-ray scattering.
Konishi T; Ise N
Langmuir; 2006 Nov; 22(24):9843-5. PubMed ID: 17106971
[TBL] [Abstract][Full Text] [Related]
10. Medium-range correlation of Ag ions in superionic melts of Ag2Se and AgI by reverse Monte Carlo structural modelling-connectivity and void distribution.
Tahara S; Ueno H; Ohara K; Kawakita Y; Kohara S; Ohno S; Takeda S
J Phys Condens Matter; 2011 Jun; 23(23):235102. PubMed ID: 21613697
[TBL] [Abstract][Full Text] [Related]
11. Reverse Monte Carlo modeling of amorphous structures in phase-change In0.21Sb0.79 thin film.
Arai T; Tani K; McGreevy RL
J Phys Condens Matter; 2010 Oct; 22(40):404204. PubMed ID: 21386565
[TBL] [Abstract][Full Text] [Related]
12. 2D pair distribution function analysis of anisotropic small-angle scattering patterns from elongated nano-composite hydrogels.
Nishi K; Shibayama M
Soft Matter; 2017 May; 13(17):3076-3083. PubMed ID: 28247881
[TBL] [Abstract][Full Text] [Related]
13. Reverse Monte Carlo simulations, Raman scattering, and thermal studies of an amorphous Ge30Se70 alloy produced by mechanical alloying.
Machado KD; de Lima JC; Campos CE; Grandi TA; Pizani PS
J Chem Phys; 2004 Jan; 120(1):329-36. PubMed ID: 15267293
[TBL] [Abstract][Full Text] [Related]
14. Time-resolved in situ small-angle X-ray scattering study of silica particle formation in nonionic water-in-oil microemulsions.
Riello P; Mattiazzi M; Pedersen JS; Benedetti A
Langmuir; 2008 May; 24(10):5225-8. PubMed ID: 18429625
[TBL] [Abstract][Full Text] [Related]
15. Extension of the invariant environment refinement technique + reverse Monte Carlo method of structural modelling for interpreting experimental structure factors: the cases of amorphous silicon, phosphorus, and liquid argon.
Gereben O; Pusztai L
J Chem Phys; 2011 Aug; 135(8):084111. PubMed ID: 21895163
[TBL] [Abstract][Full Text] [Related]
16. The nature of intermediate-range order in Ge-As-S glasses: results from reverse Monte Carlo modeling.
Soyer-Uzun S; Benmore CJ; Siewenie JE; Sen S
J Phys Condens Matter; 2010 Mar; 22(11):115404. PubMed ID: 21389466
[TBL] [Abstract][Full Text] [Related]
17. The structure of liquid water by polarized neutron diffraction and reverse Monte Carlo modelling.
Temleitner L; Pusztai L; Schweika W
J Phys Condens Matter; 2007 Aug; 19(33):335207. PubMed ID: 21694130
[TBL] [Abstract][Full Text] [Related]
18. SpecSwap-RMC: a novel reverse Monte Carlo approach using a discrete set of local configurations and pre-computed properties.
Leetmaa M; Wikfeldt KT; Pettersson LG
J Phys Condens Matter; 2010 Apr; 22(13):135001. PubMed ID: 21389504
[TBL] [Abstract][Full Text] [Related]
19. Monte Carlo-based rigid body modelling of large protein complexes against small angle scattering data.
Meesters C; Pairet B; Rabenhorst A; Decker H; Jaenicke E
Comput Biol Chem; 2010 Jun; 34(3):158-64. PubMed ID: 20598639
[TBL] [Abstract][Full Text] [Related]
20. Correlation of mass fractal dimension and cluster size of silica in styrene butadiene rubber composites.
Schneider GJ; Vollnhals V; Brandt K; Roth SV; Göritz D
J Chem Phys; 2010 Sep; 133(9):094902. PubMed ID: 20831333
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
