Research Highlights

Eccentric binary black hole surrogate models for the gravitational waveform and remnant properties: comparable mass, non-spinning case

ICERM - April 2021

Black holes are fascinating objects! They become more so when two of them merge. Merging black holes radiate energy in the form of gravitational waves (GWs). GWs then propagate intergalactic distances to reach Earth. Ground-based detectors operated by the Laser Interferometer Gravitational-Wave Observatory (LIGO) and Virgo are capable of detecting such signals. Detection of GWs can help us to...

Eccentric binary black hole surrogate models for the gravitational waveform and remnant properties: comparable mass, non-spinning case Thumbnail Image

Gravitational hair for extreme Kerr black holes using a GPU-accelerated mixed-precision WENO method

ICERM - March 2021

A breakthrough discovery was made that a special kind of black hole violates black hole uniqueness, the so-called “no hair” theorem. Specifically, a computational study of extremal black holes — holes that are “saturated” with the maximum charge or spin they can possibly carry — found that there is a quantity that can be constructed from the spacetime curvature at the black hole horizon that is...

Gravitational hair for extreme Kerr black holes using a GPU-accelerated mixed-precision WENO method Thumbnail Image

Orbital dynamics of binary black hole systems can be learned from gravitational wave measurements

ICERM - March 2021

The collision of massive compact objects, such as black holes (BHs) or neutron stars, emit an immense amount of energy in the form of gravitational waves. With the advent of advanced gravitational-wave detectors, such as the NSF-funded Laser Interferometer Gravitational-Wave Observatory (LIGO), we are now able to directly observe gravitational waves. Encoded in these waves are information about...

Orbital dynamics of binary black hole systems can be learned from gravitational wave measurements Thumbnail Image

Summer School on Data, Dynamics, and COVID-19

AIM - March 2021

How did the Covid pandemic affect carbon emissions in 2020? Does having a certain blood type make one more susceptible to Covid? What is the role of the uninsured population in driving the pandemic? These and many other questions were the focus of over forty graduate students and advanced undergraduates who participated in the 2020 AIM Online Summer School on Dynamics, Data and the COVID-19...

Summer School on Data, Dynamics, and COVID-19 Thumbnail Image

A Deep-learning Solution for the Schrödinger Equation

IPAM - February 2021

Solving the electronic Schrödinger equation is at the heart of computing and understanding in detail the physical and chemical properties of molecules and materials. They are of paramount importance for developing new drug molecules, biofuels or nanomaterials. Unfortunately the Schrödinger equation can only be solved exactly for the hydrogen atom, and the cost of highly accurate approximations...

A Deep-learning Solution for the Schrödinger Equation Thumbnail Image

Better Understanding of Betti Numbers

SAMSI - February 2021

A simplicial complex is a set formed from points, line segments, triangles, and their higher-dimensional analogs. Betti numbers classify topological spaces according to the connectivity of simplicial complexes. The kth Betti number is the rank of the kth homology group and is the maximum number of cuts that can be made before separating a surface into two pieces. For some value n, Betti numbers...

Mathematicians solve one of the mysteries of two-dimensional shapes

IAS - October 2020

Pure mathematicians like Daniel Cristofaro-Gardiner thrive on the creative challenge of imagining connections between things that seem unconnected and then using these connections to puzzle out old problems. Take the simplicity conjecture, which Cristofaro-Gardiner solved earlier this year with two of his colleagues. The conjecture emerged from the work of mathematicians who, during the...

New Machine Learning Approach for Mean-Field Games

IPAM - September 2020

Mean field games are critical classes of multi-agent models for efficient analysis of massive populations of interacting agents with numerous applications ranging from economics to crowd motion. Their numerical solutions typically suffer from the curse of dimensionality. Numerical methods for mean field games were usually grid based. This effectively limited them to two and three dimensions....

New Machine Learning Approach for Mean-Field Games Thumbnail Image

Quasisymmetries for Quasiparticles

SLMath - August 2020

For an ordinary chemical such as water, the phase diagram shows which state the chemical likes to be in at different temperatures and pressures. Water, for example, has one liquid phase and seventeen solid phases (one of which is the cubical form that you think of as “ice”). Now, mathematicians have identified a theoretically feasible substance with an even more complicated phase diagram than...

Quasisymmetries for Quasiparticles Thumbnail Image

The Math of Irreversibility

SLMath - August 2020

A relatively new branch of mathematics, called higher category theory, seeks to address a common but perplexing phenomenon in math as well as other sciences. “We’re trying to build tools that allow us to capture irreversibility,” says Ezra Getzler of Northwestern University, one of 47 mathematicians who participated in the 2020 spring program on “Higher Categories and Categorification” at the...

The Math of Irreversibility Thumbnail Image