Latest Research
Linear instability of hairy black holes in Horndeski theory
In this paper, we focus on a subclass of the Horndeski theory and a set of analytic background solutions are considered.
General Relativity and Quantum Cosmology
A Mathematica program for numerically computing real and complex critical points in 4-dimensional Lorentzian spinfoam amplitude
This work develops a comprehensive algorithm and a Mathematica program to construct boundary data and compute real and complex critical points in spinfoam amplitudes.
General Relativity and Quantum Cosmology
Self-diffusion is temperature independent on active membranes
For example, lipid and protein diffusion sculpts the dynamic shapes and structures on the cell membrane that perform essential cellular functions, such as cell signaling.
Soft Condensed Matter Biological Physics
Python-Based Quantum Chemistry Calculations with GPU Acceleration
To make the package easy to extend and integrate with other Python packages, it is designed with PySCF-compatible interfaces and Pythonic implementations.
Computational Physics Chemical Physics Quantum Physics
Modeling scattering matrix containing evanescent modes for wavefront shaping applications in disordered media
We developed an open-source scalar wave transport model to estimate the generalized scattering matrix (S matrix) of a disordered medium in the diffusion regime.
Optics Disordered Systems and Neural Networks
Minimal Autocorrelation in Hybrid Monte Carlo simulations using Exact Fourier Acceleration
The hybrid Monte Carlo (HMC) algorithm is a ubiquitous method in computational physics with applications ranging from condensed matter to lattice QCD and beyond.
High Energy Physics - Lattice Strongly Correlated Electrons Computational Physics
Parametric Sensitivities of a Wind-driven Baroclinic Ocean Using Neural Surrogates
Because the SOMA model code is challenging to differentiate, we have created neural network-based surrogates for estimating the sensitivity of the ocean model to model parameters.
Atmospheric and Oceanic Physics
Parametrized Black Hole Quasinormal Ringdown Formalism for Higher Overtones
We investigate the parametrized black hole quasinormal ringdown formalism, which is a robust framework used to analyze quasinormal modes in systems that closely resemble general relativity, paying particular attention to the higher overtones.
General Relativity and Quantum Cosmology High Energy Physics - Theory
Locuaz: an in-silico platform for antibody fragments optimization
Motivation: Engineering high-affinity binders targeting specific antigenic determinants remains a challenging and often daunting task, requiring extensive experimental screening.
Biological Physics
STAR-FDTD : Space-time modulated acousto-optic guidestar in disordered media
We developed a 2D Finite-Difference Time-Domain (FDTD) method for modeling a space-time modulated guidestar targeting wavefront shaping applications in disordered media.
Optics
