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- Universidade do Estado do Rio de JaneiroBR38 papers
- Universidade Federal FluminenseBR7 papers
- Centro Brasileiro de Pesquisas FísicasBR6 papers
- Universidade Federal de Juiz de ForaBR6 papers
- Universidade Federal do Rio de JaneiroBR5 papers
- National ObservatoryBR3 papers
- Universidade de São PauloBR3 papers
- University of California, BerkeleyUS3 papers
- Centre National d'Études SpatialesFR2 papers
- Halbleiterlabor of the Max-Planck-SocietyDE2 papers
- Hanyang UniversityKR2 papers
- Helsinki Institute of PhysicsFI2 papers
5 papers · 1 filter
Data sets and trained neural networks for Cu migration barriers
Jyri Kimari, Ville Jansson, Simon Vigonski +4
Kinetic Monte Carlo (KMC) is an efficient method for studying diffusion. A limiting factor to the accuracy of KMC is the number of different migration events allowed in the simulat…
Application of artificial neural networks for rigid lattice kinetic Monte Carlo studies of Cu surface diffusion
Jyri Kimari, Ville Jansson, Simon Vigonski +4
Kinetic Monte Carlo (KMC) is a powerful method for simulation of diffusion processes in various systems. The accuracy of the method, however, relies on the extent of details used f…
Design and performance evaluations of generic programming techniques in a R&D prototype of Geant4 physics
M. G. Pia, P. Saracco, M. Sudhakar +9
A R&D project has been recently launched to investigate Geant4 architectural design in view of addressing new experimental issues in HEP and other related physics disciplines. In t…
R&D on co-working transport schemes in Geant4
M. G. Pia, P. Saracco, M. Sudhakar +9
A research and development (R&D) project related to the extension of the Geant4 toolkit has been recently launched to address fundamental methods in radiation transport simulation.…
Integrating Factors and ODE Patterns
E. S. Cheb-Terrab, A. D. Roche
A systematic algorithm for building integrating factors of the form mu(x,y') or mu(y,y') for non-linear second order ODEs is presented. When such an integrating factor exists, the…