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Activity of the Napoli branch in Theoretical Modelling is mainly devoted to the simulation of selected properties and behaviour of several materials on a nano/micro/macro scale. The main computational tools for implementing simulations are based on finite differences, finite volumes and finite elemnts methods. The task is accomplished by relying on software commercially available for modelling (e.g., COMSOL, Lumerical) and on computaional environments (e.g., MATLAB, R); in addition some scripts are implemented in several cases for particular problems. Specific software for image processing is also used (e.g., AVIZO). Hardware tools range from desktops (maily quad-core i7) to workstations (e.g., dual processor with 28 cores and 512GB RAM) to a small cluster (4 nodes, 88 cores, 176GB RAM). GPUs are also used to speed-up computations under the CUDA framework. 

Simulation of light propagation in complex three-dimensional nanostructures

Propagation of electromagnetic waves in three-dimensional structures can be simulated by means of several algorithms based on a proper approximation of Maxwell equations. Here are some examples:

  • Beam Propagation Method (BPM), based on Helmoltz equation in paraxial approximation and considering field amplitudes slowly varying along the propagation axis;
  • Finite Difference Time Domain (FDTD), employs finite differences as approximations to both the spatial and temporal derivatives that appear in Maxwell equations. Both time and space are discretized and the resulting difference equations are solved to obtain “update equations” that express the (unknown) future fields in terms of (known) past fields.
  • Finite Integration Technique (FIT), similar to FDTD but based on integral solutions of Maxwell equations, thus allowing a more accurate discretization of the boundaries of the domain under study.
  • Plane Wave Method (PWM), very useful in the retrieval of the bandgaps of photonic crystals, based on the approximation of Maxwell equation solutions with Fourier expansions of the fileds, thus reducing the retrieval of the solutions themselves to an eigenvalue problem.
  • Rigorous Coupled Wave Analysis (RCWA), a semi-analytical method particularly useful for periodic structures constituted by layers that are uniform in the plane orthogonal to the direction of incidence of light, but which present an inner periodicity. In every layer, the fields are expanded in eigenmodes, exponentially decaying in the direction orthogonal to te plane of the layer itself and making use of a Fourier basis in the plane of periodicity. Finally, the obtained solutions are analitically propagated throughout the whole structure.

These techniques are fundamental in the study of light propagation in photonic crystals and, in general, in the design of all the periodic or quasi-periodic nanostructures which can find application in photonics, telecomunications and quantum optics. Furthermore, these computational algorithm can be applied to the study of optical properties of bio-based photonic nanostructures such as diatom silica frustules, which can inspire new micro- and nano-optical devices in the framework of biomimetics.

Collaborations: Istituto di Biochimica delle Proteine CNR; Università di Napoli Federico II; Università degli Studi della Campania Luigi Vanvitelli; Lawrence Berkeley National Laboratory, California, USA; University of Antwerp (Belgium)



  • V. Mocella and S. Romano, Giant field enhancement in photonic resonant lattices, Physical Review B 92, 155117, 2015.
  • S. Romano, S. Cabrini, I. Rendina, V. Mocella, Guided resonance in negative photonic crystals: a new approach, Light: Science and Applications 3, 1, e120, 2014.
  • E. De Tommasi, A. C. De Luca, S. Cabrini, I. Rendina, S. Romani, V. Mocella, Plasmon-like surface states in negative refractive index photonic crystals, Applied Physics Letters 102, 8, 081113, 2013.
  • E. De Tommasi, I. Rea, V. Mocella, L. Moretti, M. De Stefano, I. Rendina, L. De Stefano, Multi-wavelength study of light transmitted though a single marine centric diatom, Optics Express 18, 12, 12203-12212, 2010.

Coordinator: Edoardo De Tommasi

Thermal modelling of nanostructures

The aim of the activity is to predict thermal behavior of nanostructures like metallic nanoparticles and photonic crystals (PhC) elementary cells, which interact with electromagnetic waves at optical frequencies and immersed in surrounding fluid media. In particular, the focus is on thermo-plasmonic effect, where metallic nanoparticles dispersed in solution act as local heat nano-sources, and thermal tuning of PhC for light control application. The modelling includes multi-physics analysis of combined Electromagnetic (EM), Heat Transfer (HT) and Computational Fluid Dynamic (CFD) phenomena. So, the multi-physics modelling approach by means of coupled systems of partial differential equations, allows to create a cross analysis and simulation of the different physics phenomenology. Moreover, their mutual influence can be evaluated and studied. Main simulators used for the multi-physics modelling are COMSOL and MATLAB.

This activity impacts mainly on the application area of the plasmonic devices and PhC-based devices design, since it provides some of the software tools that are required in order to efficiently design and fabricate newly components for nano-thermal control or light control.

Collaborations: University of Naples “Federico II”, Dipartimento di Ingegneria Industriale; Université Paris 13, Laboratoire CSPBAT; Lawrence Berkeley National Laboratory, Molecular Foundry



  • Jane Politi, Jolanda Spadavecchia, Mario Iodice, Luca De Stefano, “Oligopeptide-heavy metal interaction monitoring by hybrid gold nanoparticles based assay”, Analyst, 2014, DOI: 10.1039/C4AN01491J
  • P. Dardano, M. Borrelli, M. Musto, G. Rotondo, and M. Iodice, “Computational analysis of cooling dynamics in photonic-crystal-based thermal switches”, Journal of the European Optical Society-Rapid Publications, Vol. 12(1), pp. 1-7 (2016), DOI 10.1186/s41476-016-0001-0

Coordinator: Mario Iodice

Thermal modelling of selective solar absorber

The aim of the activity is to predict optical and thermal behavior of a selective solar absorber for solar thermal applications. A selective absorber should efficiently absorb the light in the solar spectrum, while minimizing emission as thermal radiation. It is usually composed of a nanostructured optical absorber deposited on a high conductive, low emission substrate (such as copper or aluminum). To study the properties of the absorber it is suspended by four small stainless steel springs in a high-vacuum vessel with an optical window that allows sample illumination by LED lamps or solar radiation. Its temperature is monitored by a thermocouple and the system can be described by an energy balance equation. The modelling includes multi-physics analysis Heat Transfer (HT) phenomena of optical absorption and thermal emission as well as the other heat transfer mechanism in the whole structure. These simulations allow to determine the relative importance of the different parameters (emission coefficient, absorption, geometry, etc.) involved in the description of the physical system. Next step will be the simulation of the optical and radiative properties of multilayered film structure, to optimize their behavior as selective solar absorber. We plan to use the results from the optical simulation to simulate the radiative losses of the whole structure to calculate the final panel efficiency as function of temperature. Main simulator used for the multi-physics modelling is COMSOL.

This activity provides indications to efficiently design and fabricate new absorbers for light absorption and thermal control. It impacts on the efficiency of solar thermal panels working at high temperature.

Collaborations: University of Naples “Federico II”, Dipartimento di Ingegneria Industriale; TRESOL srl, Avellino; TVPSolar SA, Geneva, Swirtzerland

Software: COMSOL


  • A. Buonomano, F. Calise, M. Dentice d’Accadia, G. Ferruzzi, S. Frascogna, A. Palombo, R. Russo, M. Scarpellino “Experimental analysis and dynamic simulation of a novel high-temperature solar cooling system” Energy Convers. Manag., 109 19–39 (2016)
  • M. Monti, F. Di Giamberardino, V. Palmieri, and R. Russo, "Measurement of Selective Solar Absorbers Emission and Absorption Coefficients under High Vacuum," in Light, Energy and the Environment, OSA Technical Digest (online) (Optical Society of America, 2017), paper RTh1B.5
  • Roberto Russo, Matteo Monti, Francesco Di Giamberardino, and Vittorio G. Palmieri “Characterization of selective solar absorber under high vacuum” submitted

Coordinator: Roberto Russo

Nanophotonics Modeling

Optical properties of dielectric nanostructures, according to recent advances in optical investigations of materials of sub-micrometric structures, is an exciting, rapidly evolving field of research. Our activities are centered around dielectric plasmonic and photonic crystals meatstructures and their applications to a number of fundamental device issues. Theoretical modeling is performed both in support to experimental activities, and also for basic investigations of nanophotonic systems radiation-matter interaction. The modeling of such nanostructures is fundamental for the fabrication and characterization of plasmon-like metamaterials on substrates and on optical fibres tip for sensing bio-sensing nanomedicine, energetics. and telecom applications; The modeling is based on time-domain (Finite Difference Time domain- FDTD) and frequency domain (Rigorous Coupled Waves Approach – RCWA; Finite Element Method – FEM) in order to analyze the phenomena and optimize the parameters. Some applications involve large quantities of data (of the order of 109 data), therefore sometimes they require clusters of computers, fast workstations. Use of NVIDIA GPU’s is also required for some applications

This activity is transversally potentially useful for all activity where the field enhancement is potentially useful: sensing, light emission, fluorescence.

Collaborations: Istituto di biochimica delle proteine – IBP CNR, Napoli (Italy); Molecular Foundry, Berkeley, (USA); Boston University, Boston (USA)



  • S. Romano, G. Zito, S. Managò, G. Calafiore, E. Penzo, S. Cabrini, A.C. De Luca, V. Mocella: Surface-Enhanced Raman and Fluorescence Spectroscopy With an All-Dielectric Metasurface, The Journal of Physical Chemistry C 122(34), 19738-19745 (2018)
  • S. Romano, G. Zito, S. Torino, G. Calafiore, E. Penzo, G. Coppola, S. Cabrini, I. Rendina, V. Mocella: Label-free sensing of ultralow-weight molecules with all-dielectric metasurfaces supporting bound states, The Continuum Photonics Research 6(7), 726-733 (2018)
  • S. Romano, A. Lamberti, M. Masullo, E. Penzo, S. Cabrini, I. Rendina, V. Mocella: Optical Biosensors Based on Photonic Crystals Supporting Bound States in the Continuum, Materials, 11(4), 526 (2018)
  • V. Mocella, S. Romano: Giant field enhancement in photonic resonant lattices, Physical Review B 92(15), 155117 (2015)

Coordinator: Vito Mocella

Statistical methods for applications

Statistical methods are developed and applied to different fields. From the methodological point of view the problems of nonparametric regression, classification, clustering, dimension reduction are mainly faced. The methodologies developed rely on tools as Fourier transform, wavelet transform, Principal Component Analysis, Independent Component Analysis, penalization. The setting is typically multidimensional, with the number of dimensions ranging from small to big (with respect to the size of the available samples). Both continuous and discrete variables are considered in the problems. A special focus is devoted to images, where methodologies are adapted also considering their spatial structure. In particular applications as denoising and feature detection are developed. The methodologies are applied to different fields, e.g., processing of images acquired by Visible and IR sensors onboard satellites, diagnosis of pathological conditions starting from MR images, simulation and prediction of time series of power load. The software environment mostly consists of R and Matlab, also with the use of User Interfaces. Optimization of the algorithms and integration with hardware are also considered, especially for the methodologies highly demanding in terms of computational time and data sets of large size.

This activity is transversally potentially useful for all activity lines where experimental data have to be processed and analyzed.

Collaborations: Istituto per le Applicazioni del Calcolo CNR; Università della Basilicata, Scuola di Ingegneria, Potenza; University of Cape Town, South Africa

Software: MATLAB, R


  • U. Amato, A. Antoniadis, I. Defeis, Y. Goude: Estimation and group variable selection for additive partial linear models with wavelets and splines. South African Statist. J. 51, 235–272 (2017)
  • P. Silvestrini, U. Amato, A. Vettoliere, S. Silvestrini, B. Ruggiero: Rate equation leading to hype-type evolution curves: a mathematical approach in view of analyzing technology development, Technological Forecasting & Social Change 116C, 1–12 (2017)
  • D. Granata, U Amato, B Alfano MRI denoising by nonlocal means on multi-GP. Journal of Real-Time Image Processing, 1–11 (2016)

Coordinator: Umberto Amato

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