Modeling, Theory and Computation

Our research focuses on: 1. the theoretical and computational study of systems with many interacting constituents, from glasses and spin glasses to soft and biological matter; 2. the physics of random lasing materials; 3. nonlinear, turbulent and complex flows; 4. the quantitative and computational analysis of biological systems, from single-molecules to biological networks and system-level properties.

In addition, we are interested in the development of efficient algorithms for inference and big data analysis.

Complex Flows & Non Linear Time Series Analysis

The experimental study of nonlinear and complex systems relies on the design of specific advanced data analysis tools, which need to be able to identify properties of the dynamics…

Computational Biology

Theoretical methods and mathematical modeling can be applied to investigate complex physical systems that are found in biological organisms. Computer simulations are…

Photonics in Random Media

In recent years, random lasing materials (e.g. powders, porous media, precipitates in solution, or photonic crystals with impurities) have been extensively studied…

Scientific Computing & Big Data

We exploit parallel computing on single and multi Graphic Processing Units (GPU’s) for several problems. In particular, we develop optimised parallel codes for continuous…

Statistical Mechanics

We study disordered and frustrated systems such as spin-glasses, structural glasses and random photonics models by means of advanced methods in statistical mechanical of disordered…

Turbulence in Plasmas

Turbulence is an ubiquitous phenomenon that can be observed on a huge range of scales, from galaxy clusters down to micro- and nano-fluidics. It is observed mostly in neutral flows…

Latest News

WELFARE E PARI OPPORTUNITA'

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September 14-22, 2019

 

Science coffee. Tre scienziate si raccontano: Luisa Torsi, Loretta L del Mercato, Eva Degl'Innocenti Bari - Fiera del Levante, 20 settembre 2019 - 17.30

Luisa Torsi, chimica, docente all’Università degli Studi di Bari e alla ABO Akademi University in Finlandia, tra le protagoniste della mostra della Fondazione Bracco . Loretta L del Mercato, biotecnologa - Ricercatrice CNR Nanotec. Esperta nell’uso delle nanotecnologie applicate in campo biomedico. Attualmente la ricerca si concentra sullo sviluppo di modelli cellulari di tumore del pancreas che consentano di testare l'efficacia di diverse terapie anticancro. Coordina il progetto ERC-StG “INTERCELLMED” finanziato dal Consiglio europeo della ricerca (Erc). Eva Degl'Innocenti, Direttrice MARTA di Taranto [/vc_column_text][/vc_column][/vc_row]

ICONS - A Symposium on Colloidal Nanocrystals

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October 10-11, 2019

 

Cnr Nanotec Lecce

 

The symposium focuses on colloidal semiconductor nanocrystals (also known as quantum dots), which are a central topic in materials science and nanotechnology nowadays. The event will bring together renowned scientists in this research field discussing on fundamentals and future directions of this promising class of materials.  The program consists of two half-day sessions with four talks each covering synthesis, characterization, properties, and applications of colloidal semiconductor nanocrystals. The detailed program will be soon available.

The symposium is intended for anyone that is interested on this topic and will be free of charge. Attendees may present their own work in the dedicated poster session. Registration, with an eventual abstract submission for poster presentation, is required (please, send an e-mail to:   carlo.giansante@nanotec.cnr.it). The event is co-organized by Consiglio Nazionale delle Ricerche - Istituto di Nanotecnologia and Istituto Italiano di Tecnologia.

The final program is now available for download: ICoNS_Program[/vc_column_text][/vc_column][/vc_row]

DIAGNOSTICS OF BRAIN DISEASES VIA STEM CELLS

 01 luglio 2019 - ore 14:15

 

Cnr Nanotec Lecce

 

Realizzato nell'ambito delle attività del progetto "TecnoMed Puglia - Tecnopolo per la medicina di precisione", il meeting è dedicato allo studio delle malattie neurodegenerative: dai nuovi biomarcatori alle piu recenti modellizzazioni, per una migliore comprensione dei meccanismi di base e quindi per lo sviluppo di terapie sempre più ritagliate sul singolo paziente.