The mission of the Flatiron Institute is to advance scientific research through computational methods, including data analysis, theory, modeling and simulation.
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A many-method study of the Hubbard model demonstrates how the field of computational quantum physics is evolving to be more collaborative.
Our Centers
Center for Computational Biology
Center for Computational Mathematics
Center for Computational Neuroscience
Center for Computational Quantum Physics
Scientific Computing Core
It develops, deploys and maintains computational infrastructure — from supercomputers to desktop PCs — dedicated solely to the use of Flatiron researchers.
Flatiron Institute Inclusion, Diversity,
Equity & Advocacy (IDEA) Scholar Program
For distinguished scientists with a particular interest in diversity and inclusion
Scholars may engage in a variety of activities, such as working on scientific projects, starting new collaborations, mentoring junior scientists, and organizing or participating in workshops and career development events.
Software
A major effort of the Flatiron Institute is the development and support of high-quality, open-source software for research.
Research Highlights
cuFINUFFT: a load-balanced GPU library for general-purpose nonuniform FFTs
Nonuniform fast Fourier transforms dominate the computational cost in many applications including image reconstruction and signal processing. We thus present…
arxiv:2102.08463Mapping parameter spaces of biological switches
Since the seminal 1961 paper of Monod and Jacob, mathematical models of biomolecular circuits have guided our understanding of cell…
PLoS Computational BiologyChiral crystals self-knead into whorls
The competition between thermal fluctuations and potential forces is the foundation of our understanding of phase transitions and matter in…
arXiv:2102.03263News & Announcements
March 23, 2021

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