Facility/equipment: Facility

  • Location

    Aalto University / School of Science / Otakaari 1B




Equipments Details


Science-IT / Finnish Computing Competence Infrastructure (FCCI):

Science-IT provides infrastructure for high-level computational research at Aalto University and is coordinated by the School of Science. Science-IT acts as Aalto’s SCI lead project and has extensive collaboration both within Aalto as well as with other Finnish universities and CSC.

Science-IT serves midrange computing and special resources needed by the School of Science and Aalto University researchers. Current research areas are: method development; computational materials research; network research; neuroscience; data mining; and machine learning and artificial intelligence. Science-IT has users from all six schools of Aalto.

Science-IT’s flagship is the Triton computational cluster, which provides resources for data-intensive needs and highly parallel problems able to utilize MPI or GPU technologies. A wide range of research areas can benefit from the computational capabilities offered by Triton, including nanotechnology, complex systems, data mining, and neuroscience. Multiple groups of ERC grant holders and national flagship project FCAI utilize Science-IT resources on daily basis.

Science-IT is part of the national Tier-2 computational infrastructure FCCI, that includes both computing and data storage resources. Its key objective is to foster excellence in research and training in all scientific fields that exploit high-performance science. FCCI bridges scientific fields together, researchers to one another, and local on-site resources to national Tier-1 (CSC) and international Tier-0 supercomputing, generating impressive added value for training and science. Its current action (FGCI) is on the Road Map.


Acquisition date01/01/2009

Fingerprint Explore the research areas in which this equipment has been used. These labels are generated based on the related outputs. Together they form a unique fingerprint.

  • Research Output

    A Cocktail of Multiple Cations in Inorganic Halide Perovskite toward Efficient and Highly Stable Blue Light-Emitting Diodes

    Yuan, F., Ran, C., Zhang, L., Dong, H., Jiao, B., Hou, X., Li, J. & Wu, Z., 10 Apr 2020, In : ACS Energy Letters. 5, 4, p. 1062-1069 8 p.

    Research output: Contribution to journalArticleScientificpeer-review

  • 1 Citation (Scopus)

    A minimal Tersoff potential for diamond silicon with improved descriptions of elastic and phonon transport properties

    Fan, Z., Wang, Y., Gu, X., Qian, P., Su, Y. & Ala-Nissila, T., 1 Jan 2020, In : Journal of Physics Condensed Matter. 32, 13, 9 p., 135901.

    Research output: Contribution to journalArticleScientificpeer-review

  • Analyzing the effects of uncertainties on the modelling of low-carbon energy system pathways

    Pilpola, S. & Lund, P., 2020, In : Energy, The International Journal. 201, 117652.

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
  • 52 Downloads (Pure)


    Bayesian Metabolic Flux Analysis reveals intracellular flux couplings

    Maria Osmala (Speaker)
    22 Jul 201923 Jul 2019

    Activity: Talk or presentation typesConference presentation

    Enhancer prediction in the human genome using supervised probabilistic modelling of epigenetic data

    Maria Osmala (Speaker)
    22 Jul 201923 Jul 2019

    Activity: Talk or presentation typesConference presentation

    Dorothea Lincke

    Tapio Lokki (Host)
    4 Jun 201931 Dec 2019

    Activity: Hosting a visitor typesHosting a visitor