| Atomic Scale Modeling and Simulation
Our challenge is the predictive modeling dedicated to atomically precise technology for the following topics:
- oxidation (Si, SiGe), growth and self assembled monolayers
- biomolecular interactions
For non biological systems, we have developed multi-scale strategies combining ab initio, kinetic Monte Carlo and mesoscopic modelling tools. For biomolecules, we have developed a new treatment of molecular flexibility (Static Modes) which is based on the concept of “induced-fit” and authorizes the blind prediction of the conformational response of a molecule submitted to an external excitation. The approach is validated on the protease HIV-1 and constrained DNA.
During this period, our main achievements are :
- inorganic materials: Si oxidation, Ge condensation, SnO2 surfaces for sensing, High-k materials deposition, Si nanodots.
- organic/inorganic interfaces: PNIPAM molecules and SAMs (Self Assembled Monolayers)
- Biomolecules: development of Staic Modes, Free access to static modes on a web Data Bank (www.laas.fr/FLEXIBLE).
- Software produced: FLEXIBLE, HIKAD & OXCAD (transferred to CEA DAM), Sn02_CAD.

(a) Opening/closing movement of the flaps
(b) cover of EPJ January 2009
Partnerships:
- Inside the LAAS:
- gas sensing modeling (M2D partnership); biomolecular interactions (RIS), PNIPAM (N2IS),
- National level:
- Establishment of a joint research team (ERC: Equipe de Recherche Commune) with CEA DAM, CEA-LETI (nanodots), LPPM-Orsay (oxidation)
- ANR : OSIGE-SIM, LN3M, Jeune chercheur, NANOBIOMOD, ITAV ALMA
- International level:
- Finland, : ALEBOND (VTL)
- US: CNRS-NSF (Rutgers University); University of Texas Dallas, University of Southern California.
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