Opendata, web and dolomites


Computational Photochemistry in the Long Timescale: Sub-ns Photoprocesses in DNA

Total Cost €


EC-Contrib. €






 SubNano project word cloud

Explore the words cloud of the SubNano project. It provides you a very rough idea of what is the project "SubNano" about.

regime    excitonic    phenomena    extension    box    intervention    learning    mixed    my    fulfill    selectively    zero    adaptive    domain    choosing    thousand    ns    subnano    molecules    anion    electronic    community    nonadiabatic    simulations    structure    thanks    photostabilization    academic    enormous    photodynamical    size    machine    grounds    goals    series    releases    newton    developer    local    area    constrained    interdisciplinary    25    fly    fluorescent    outstanding    paving    diabatic    speed    methodology    theory    theoretical    vibronically    extend    point    feasible    chemistry    infrastructure    modular    lack    times    dna    adaptable    quantum    repair    biological    algorithmic    massively    algorithm    nanosecond    precomputed    simulation    atomistic    trajectories    last    photoinduced    timescale    ultrafast    corrected    13    surfaces    minimum    limits    investigations    markers    designer    restricted    black    energy    employed    nucleic    mainly    biology    independent    platform    dynamics    sub    made    software    molecule    transient    photoexcited    acids    picosecond   

Project "SubNano" data sheet

The following table provides information about the project.


Organization address
address: Boulevard Charles Livon 58
city: Marseille
postcode: 13284
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country France [FR]
 Total cost 2˙498˙937 €
 EC max contribution 2˙498˙937 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2018-ADG
 Funding Scheme ERC-ADG
 Starting year 2019
 Duration (year-month-day) from 2019-09-01   to  2024-08-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITE D'AIX MARSEILLE FR (Marseille) coordinator 2˙498˙937.00


 Project objective

My goal in the SubNano project is to massively speed up the dynamics simulation of photoexcited molecules to allow addressing sub-nanosecond phenomena (that is, one thousand times above the current limits).

The sub-ns methodology will be employed to investigate the long timescale nonadiabatic dynamics of photoinduced processes in nucleic acids, including DNA photostabilization via excitonic processes, biological fluorescent markers, and transient anion formation in DNA repair.

To fulfill these goals, I will develop and implement a series of methods to extend nonadiabatic dynamics simulations into the new timescale, mainly based on a novel adaptive diabatic machine learning algorithm and a novel zero-point-corrected and vibronically-corrected mixed quantum-classical method.

The sub-ns methodology will be constrained to be general (any kind or size of molecule), black-box (minimum user intervention), modular (adaptable to any electronic structure theory), on-the-fly (no need of precomputed potential energy surfaces), and local (independent-trajectories).

It will be implemented into the Newton-X software platform, which I have been the main designer and developer. It will also be made available for all academic community through new releases of Newton-X.

For the last 25 years, theoretical investigations of photodynamical processes have been restricted to the ultrafast (picosecond) regime, selectively choosing problems in this domain. The extension into the sub-ns regime is finally feasible thanks to a large algorithmic infrastructure I have built over the last 13 years, paving the grounds to develop a new research area, atomistic nonadiabatic dynamics on the long timescale.

The success of the SubNano project will have an enormous impact on the research field, allowing to investigate outstanding interdisciplinary phenomena in chemistry, biology, and technology, which have been neglected due to a lack of methods.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "SUBNANO" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email ( and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "SUBNANO" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.1.)


The Enemy of the Good: Towards a Theory of Moral Progress

Read More  

GTBB (2019)

General theory for Big Bayes

Read More  

ii-MAX (2020)

Unravelling new immunity-independent mechanisms for durable resistance to blast fungi using MAX effectors

Read More