Details
| Original language | English |
|---|---|
| Title of host publication | NATO Science for Peace and Security Series B |
| Subtitle of host publication | Physics and Biophysics |
| Publisher | Springer Verlag |
| Pages | 117-131 |
| Number of pages | 15 |
| Publication status | Published - 20 Sept 2018 |
| Externally published | Yes |
Publication series
| Name | NATO Science for Peace and Security Series B: Physics and Biophysics |
|---|---|
| ISSN (Print) | 1874-6500 |
Abstract
Numerical simulations of nanophotonics systems provide insight into their physical behaviour and design that provide a critical complement to experimental investigations. The finite-difference time-domain (FDTD) method is the most widely used, with its success due to its relative simplicity coupled with its broad applicability to many complex material systems, arbitrary shape configurations, time-domain visualization and, with increased computing resources, its near linear scalability for parallel computing. The series of three lectures presented at the Quantum Nano-Photonics summer school (Erice, Italy, 2017) began with a pedagogical introduction of the fundamentals of the Yee FDTD algorithm, such as discretization of Maxwell’s equations, numerical dispersion and stability criteria. Following this was a description of other necessary FDTD ingredients, such as boundary conditions, sources of excitations and material models. To demonstrate how to apply this knowledge to run an actual simulation, the lectures had an active component, wherein students received temporary access to commercial FDTD software, and a simple problem (scattering from a gold nanosphere) was simulated together in lecture. Finally, the state of art was reviewed for applications in nanophotonics, including, for example, modelling nonlinear optical processes, tightly focused sources, plasmonic metasurfaces, nonlocality, as well as some demonstrations of such applications. The role of high performance computing was also discussed [1]. Finally, the limitations of the method were described and complementary computational methods were briefly introduced to overcome some of these limitations. We present in this article a summary of some of the topics presented during the lectures.
ASJC Scopus subject areas
- Biochemistry, Genetics and Molecular Biology(all)
- Biotechnology
- Biochemistry, Genetics and Molecular Biology(all)
- Biophysics
- Physics and Astronomy(all)
- General Physics and Astronomy
- Engineering(all)
- Electrical and Electronic Engineering
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NATO Science for Peace and Security Series B: Physics and Biophysics. Springer Verlag, 2018. p. 117-131 (NATO Science for Peace and Security Series B: Physics and Biophysics).
Research output: Chapter in book/report/conference proceeding › Contribution to book/anthology › Research › peer review
}
TY - CHAP
T1 - Simulations in Nanophotonics
AU - Calà Lesina, Antonino
AU - Baxter, Joshua
AU - Berini, Pierre
AU - Ramunno, Lora
N1 - Funding information: Computations were performed on the SOSCIP Consortium’s Blue Gene/Q computing platform. SOSCIP is funded by the Federal Economic Development Agency of Southern Ontario, the Province of Ontario, IBM Canada Ldt., Ontario Centres of Excellence, Mitacs and Ontario academic member institutions. We acknowledge SOSCIP, the National Sciences and Engineering Research Council of Canada, and the Canada Research Chairs Program. Computations were performed on the SOSCIP Consortium’s Blue Gene/Q computing platform. SOSCIP is funded by the Federal Economic Development Agency of Southern Ontario, the Province of Ontario, IBM Canada Ldt., Ontario Centres of Excellence, Mitacs and Ontario academic member institutions. We acknowledge SOSCIP, the National Sciences and Engineering Research Council of Canada, and the Canada Research Chairs Program.
PY - 2018/9/20
Y1 - 2018/9/20
N2 - Numerical simulations of nanophotonics systems provide insight into their physical behaviour and design that provide a critical complement to experimental investigations. The finite-difference time-domain (FDTD) method is the most widely used, with its success due to its relative simplicity coupled with its broad applicability to many complex material systems, arbitrary shape configurations, time-domain visualization and, with increased computing resources, its near linear scalability for parallel computing. The series of three lectures presented at the Quantum Nano-Photonics summer school (Erice, Italy, 2017) began with a pedagogical introduction of the fundamentals of the Yee FDTD algorithm, such as discretization of Maxwell’s equations, numerical dispersion and stability criteria. Following this was a description of other necessary FDTD ingredients, such as boundary conditions, sources of excitations and material models. To demonstrate how to apply this knowledge to run an actual simulation, the lectures had an active component, wherein students received temporary access to commercial FDTD software, and a simple problem (scattering from a gold nanosphere) was simulated together in lecture. Finally, the state of art was reviewed for applications in nanophotonics, including, for example, modelling nonlinear optical processes, tightly focused sources, plasmonic metasurfaces, nonlocality, as well as some demonstrations of such applications. The role of high performance computing was also discussed [1]. Finally, the limitations of the method were described and complementary computational methods were briefly introduced to overcome some of these limitations. We present in this article a summary of some of the topics presented during the lectures.
AB - Numerical simulations of nanophotonics systems provide insight into their physical behaviour and design that provide a critical complement to experimental investigations. The finite-difference time-domain (FDTD) method is the most widely used, with its success due to its relative simplicity coupled with its broad applicability to many complex material systems, arbitrary shape configurations, time-domain visualization and, with increased computing resources, its near linear scalability for parallel computing. The series of three lectures presented at the Quantum Nano-Photonics summer school (Erice, Italy, 2017) began with a pedagogical introduction of the fundamentals of the Yee FDTD algorithm, such as discretization of Maxwell’s equations, numerical dispersion and stability criteria. Following this was a description of other necessary FDTD ingredients, such as boundary conditions, sources of excitations and material models. To demonstrate how to apply this knowledge to run an actual simulation, the lectures had an active component, wherein students received temporary access to commercial FDTD software, and a simple problem (scattering from a gold nanosphere) was simulated together in lecture. Finally, the state of art was reviewed for applications in nanophotonics, including, for example, modelling nonlinear optical processes, tightly focused sources, plasmonic metasurfaces, nonlocality, as well as some demonstrations of such applications. The role of high performance computing was also discussed [1]. Finally, the limitations of the method were described and complementary computational methods were briefly introduced to overcome some of these limitations. We present in this article a summary of some of the topics presented during the lectures.
UR - http://www.scopus.com/inward/record.url?scp=85053812882&partnerID=8YFLogxK
U2 - 10.1007/978-94-024-1544-5_6
DO - 10.1007/978-94-024-1544-5_6
M3 - Contribution to book/anthology
AN - SCOPUS:85053812882
T3 - NATO Science for Peace and Security Series B: Physics and Biophysics
SP - 117
EP - 131
BT - NATO Science for Peace and Security Series B
PB - Springer Verlag
ER -