PhD Award of AICIng to dr. Irene VASSALINI

THESIS: Synthesis and characterization of multifunctional smart nanomaterials

Over the past two decades nanomaterials and nanoparticles have encountered a great interest among the scientific community. This is justified by the new properties arising in a material as a result of its nanometric size. Examples are the lowering of melting point, unique optical properties related to Localized Surface Plasmon Resonance, changes of band gap energy values inside semiconductor quantum dots and changes in chemical reactivity.

The aim of the project is to create “intelligent” and adaptive nanomaterials, venturing beyond equilibrium/static structures, that, instead, are the major part of nanomaterials studied until now. In fact, the use of systems far from equilibrium can provide interesting properties: stimuleted senzing, adaptability, self-­‐healing, self-­‐replication and movement. The idea is to create responsive and nonequilibrium materials, that could use externally delivered energy to change their structures and overall functions on demand, exploiting the simple synthesis technique known for nanomaterial preparation. The external stimuli that will be more widely investigated will be light (introducing in the materials functions that are sensitive to light, with particular regards to wavelength selective illumination and response) and changes in chemical composition (exploiting, for example, oscillating reactions if a continuous response is wanted, or introducing from the extern a time limited concentration variation, if, for example, a sensing activity is wanted). The systems studied could find an application as: -­‐ actuators (photo-­‐thermal actuators, self-­‐actuators) -­‐ catalysts (self-­‐repairing catalyst, catalyst with dynamically reconfigurable structures) -­‐ sensors (allowing a controlled and cyclic uptake and release of the analyte of interest) -­‐ systems that permit an information storage.


1st International Summer School
Introduction to CFD for Energy Applications

3-7 September 2018, Desenzano del Garda (BS), Italy

The summer school provides all the basics of computational fluid dynamics (CFD) for energy applications analysis. This need arises from the ever-increasing central role that CFD has reached in the R&D offices worldwide, being very often used in a synergy with experimental and theoretical approaches.

More information and registration here