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  • Research

  • labex-calsimlab

  • Labex Calsimlab

    Presentation

    Calsimlab (2012-2019) is a cluster of excellence for research (PIA2 laboratoires d’excellence), training and transfer of knowledge.

    Access to efficient scientific computing tools is becoming mandatory for research in every discipline. This requires the development and maintenance of a close scientific relationship between all disciplines involved, i.e., strong interdisciplinary cooperation, to establish a continuous working framework from theoretical modelling to numerical experiments.

    CalsimLab focuses on currently very active research areas — computational chemistry and computational biology & bioinformatics —and gathers scientists from chemistry, physics, and microbiology together with applied mathematicians and scientists in computer science, mechanics and engineering.

    Quick facts

    # lab/units
    9
    # faculty/investigators
    85+
    # institutions
    3
    # PhDs & postdocs
    25+
    funding
    5M€

    Research project

    CalsimLab build upon the complementary expertise and know-how provided by its nine academic partners, to improve simulation approaches, to enhance their accuracy and reliability, and to develop new methodologies to bridge from one scale to another one.

    In computational chemistry, the aim is to define new mathematically sound models for the constitutive equations, develop consistent and accurate numerical schemes and implement efficient algorithms for computing the numerical solution within error bounds.

    In computational biology, integrative genomics analysis requires efficient tools to tackle the joint analysis of various types of genomics information and existing software thus has to be re-engineered.


    Training project

    CalsimLab is playing an active role in training students at the interface between disciplines and promote the acquisition of dual competences with PhD theses that are co-directed by two advisors from different disciplines linked to scientific computing.

    The labex fosters many new collaborative partnerships, primarily at the interfaces of disciplines, which are the most promising areas for new discovery, and at both UPMC and internationally. This will lead to new research programmes to attract bright students and young scientists starting from the undergraduate level.


    Exploitation of results and technology transfer

    As for any scientific research project, the exploitation of the results will mainly materialise through the number and quality of the CalsimLab related publications in international journals.

    Thanks to long-term financial support, CalsimLab partners are taking up the challenge of developing new models, new numerical schemes and building new state-of-the-art packages for upcoming architecture. As has happened before, this will initiate a new cycle in the development of industrial applications.

    Steering committee

    informatics

    Jean-Claude Bajard

    LiP6, UPMC

    geosciences

    Philippe d'Arco

    iSTeP, UPMC

    bio-informatics

    Alessandra Carbone

    LQCB, UPMC

    applied mathematics, PI

    Pascal Frey

    ISCD, UPMC

    applied mathematics

    Yvon Maday

    LJLL, UPMC

    computational chemistry

    Jean-Philip Piquemal

    LCT, UPMC

    biology

    Marcelino Suzuki

    LOMICs, UPMC

    theoretical physics

    Pascal Viot

    LPTMC, UPMC

    fluid mechanics

    Stéphane Zaleski

    JLRA, UPMC