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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Center for Computational Astrophysics
Hyped Signal of Decaying Dark Matter Vanishes in Updated Analysis
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In 2014, scientists observed X-ray activity from distant galaxies that was thought to be the first evidence of dark matter decay — a landmark discovery that could significantly advance efforts to characterize this puzzling substance. However, a new study from the Flatiron Institute and collaborators suggests that imperfect analysis methods used to detect the activity — called the 3.5 keV line — likely produced a phantom signal.
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.
Initiatives
Initiative for Computational Catalysis
The Simons Foundation Initiative for Computational Catalysis is a new effort within the Flatiron Institute dedicated to the development and application of computational techniques enabling the rational design of more efficient and more affordable catalysts.
Collaborative Work
Machine Learning at the Flatiron Institute
Machine learning has become an indispensable tool for computational science, and it is an active and growing area of research throughout the Flatiron Institute.
- CCM
- CCN
- CCA
- CCB
- CCQ
Structural and Molecular Biophysics
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.
- CCB
- CCM
Learning the Universe
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.
- CCA
- | 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.
Software
A major effort of the Flatiron Institute is the development and support of high-quality, open-source software for research.
Research Highlights
Learning locally dominant force balances in active particle systems
Dominik Sturm, S. Maddu, Ivo F. Sbalzarini
We use a combination of unsupervised clustering and sparsity-promoting inference algorithms to learn locally dominant force balances that explain macroscopic…
Proceedings of the Royal Society AAn adaptive spectral method for oscillatory second-order linear ODEs with frequency-independent cost
F. Agocs, A. Barnett
We introduce an efficient numerical method for second-order linear ODEs whose solution may vary between highly oscillatory and slowly changing…
SIAM Journal on Numerical AnalysisMechanics and morphology of proliferating cell collectives with self-inhibiting growth
We study the dynamics of proliferating cell collectives whose microscopic constituents’ growth is inhibited by macroscopic growth-induced stress. Discrete particle…
Physical Review LettersNews & Announcements
Center for Computational Astrophysics
January 16, 2025
Center for Computational Quantum Physics
January 14, 2025
Flatiron Institute
December 02, 2024
