The mission of the Flatiron Institute is to advance scientific research through computational methods, including data analysis, theory, modeling and simulation.Read More
Flatiron Institute astrophysicist Adrian Price-Whelan studies the chaotic motions of stars in the Milky Way. His mission? To search for one of the universe’s best-kept secrets.
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.
Machine learning has become an indispensable tool for computational science, and it is an active and growing area of research throughout the Flatiron Institute.
Underlying all biological processes are molecules and their interactions with each other. However, our ability to understand how these molecules function over biologically relevant scales remains very limited.
This collaboration, directed by Greg Bryan of Columbia University, aims to understand and determine the evolution and initial conditions of our universe, using observations via a Bayesian forward modeling approach.
- | Columbia University
- | Lawrence Berkeley National Lab
- | Harvard University
- | Stockholm University
- | Institute D'Astrophysique de Paris
- | Université de Montreal
- | Princeton University
- | Carnegie Mellon University
- | Max-Planck Institute for Astrophysics
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.
A major effort of the Flatiron Institute is the development and support of high-quality, open-source software for research.
Automatic, high-order, and adaptive algorithms for Brillouin zone integration
We present efficient methods for Brillouin zone integration with a non-zero but possibly very small broadening factor η, focusing on…arXiv:2211.12959
On the robustness of inverse scattering for penetrable, homogeneous objects with complicated boundary
The acoustic inverse obstacle scattering problem consists of determining the shape of a domain from measurements of the scattered far…Inverse Problems
Stable Solid Molecular Hydrogen above 900 K from a Machine-Learned Potential Trained with Diffusion Quantum Monte Carlo
We survey the phase diagram of high-pressure molecular hydrogen with path integral molecular dynamics using a machine-learned interatomic potential trained…Physical Review Letters
News & Announcements
May 23, 2023
May 09, 2023
Leslie Greengard, M.D., Ph.D.Director, CCM
Leslie Greengard joined the Simons Foundation in 2013 as founding director of the Simons Center for Data Analysis, now called the Center for Computational Biology. Prior to that, Greengard served as director of the Courant Institute of Mathematical Sciences at New York University.Read more
Ian Fisk, Ph.D.Co-Director, SCC
Ian Fisk came to the Simons Foundation in 2014 after working in the computing division at the Fermi National Accelerator Laboratory in Illinois since 2003. Fisk was the Compact Muon Solenoid (CMS) experiment’s computing coordinator at CERN from 2010 to 2013, overseeing operations and improvements…Read more
Antoine Georges, Ph.D.Co-Director, CCQ
Antoine Georges is a professor of physics at the Collège de France, where he holds the chair in condensed matter physics. He also has joint appointments with École Polytechnique and the University of Geneva. He received his Ph.D. from the École Normale Supérieure in 1988.…Read more
Andrew Millis, Ph.D.Collaboration Director
Andrew Millis is co-director of the Center for Computational Quantum Physics and associate director for Physics at the Simons Foundation. He has done fundamental research on heavy fermion compounds, quantum phase transitions, ‘colossal’ magnetoresistance materials and high transition-temperature superconductivity.Read more
Eero P. Simoncelli, Ph.D.Director, CCN
Eero P. Simoncelli is the inaugural director of the Center for Computational Neuroscience. Eero P. Simoncelli’s research interests span a wide range of topics in the representation and analysis of visual images and sounds in both machine and biological vision systems.Read more