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     updated on  August 29th, 2020

HPC & BigData for Nanotechnology

16 SEPTEMBER   sveglia 11:00 - 12:30

TT.II - Technical Multi-Track with Parallel SYMPOSIA
HPC & BigData for Nanotechnology
Co-organized with ENEA
Chair: Massimo CELINO & Francesco BUONOCORE, ENEA
HPC (High Performance Computing) and BigData technologies are revolutioning how computational materials science is addressed. In a few years the new generation of supercomputers will be capable of delivering a computational power in the range of about 1018 floating point operations per second. The availability of this tremendous computational power opens new ways to face challenges in nanotechnology research. Materials science will be greatly affected since a new kind of dynamics between theory and experiment will be established, with the potential to accelerate materials discovery to meet the increased demand for task-specific materials. Moreover HPC will be able to analyze very large amount of data (BigData) giving access to unforeseen interpretations of both experimental and computational data. The heightened demand for automation, advanced analysis and predictive capabilities inherent to these new methods put it in an especially exciting crossroads between chemistry, mathematics and computational science. In the European sphere, the transversal multidisciplinary approach is the key ingredient of the Horizon2020 Energy oriented Centre of Excellence (EoCoE) which aims to accelerate the European transition to a reliable low carbon energy supply exploiting the ever-growing computational power of HPC. This session aims to bring together researchers in materials science and computer science to discuss new approaches and explore new collaborations in the theoretical discovery of materials.
TT.II.E.1

Francesco BUONOCORE - CV
ENEA

 

The materials for energy scientific challenge in the EOCOE project

slide PPT BUONOCORE
TT.II.E.2

Matthew J. WOLF - CV
University of Bath

Efficient computational tools for simulating novel semiconductor devices

WOLF Matthew
TT.II.E.3

Alessandro PECCHIA - CV
CNR-ISMN

 

A library for Non Equilibrium Green's Functions

PECCHIA Alessandro
TT.II.E.4

Mathieu SALANNE - CV
Sorbonne University


Harvesting electricity from salinity gradients: molecular simulation studies

SALANNE Mathieu
CHIOSTRO ROOM
 

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PROGRAM BOOK

Programma 2020 min luttoUPD: 15 September 2020 

 

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Associazione NanoItaly 300

 

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