8 citations · 14 across the 14 of their papers we have counts for
17 papers
Octupole parton structure of spin-3/2 targets
Brandon B. Le, Dustin Keller
In spin- targets, octupole polarization can reveal quark and gluon correlations beyond those probed by vector polarization and quadrupole alignment. Here, we construct the com…
Dynamical signatures of deconfined spinons in dimerized sawtooth chains
Nishan Ranabhat, Brandon B. Le, Seung-Hun Lee +1
We study the ground-state properties and dynamical response of the Heisenberg model on the sawtooth chain in and away from the exactly solvable valence-bond-solid (VBS) point. We e…
Frustrated neurons: Energy landscapes and relaxation dynamics in repulsive phase oscillators
Brandon B. Le
Geometrical frustration, a central paradigm in condensed matter physics, provides a unifying language for systems in which locally preferred interactions cannot be made globally co…
Schwinger-Boson Mean-Field Study of the Anisotropic Kagome Antiferromagnet
Sankha Subhra Bakshi, Brandon B. Le, Seung-Hun Lee +1
We investigate the effect of spatial exchange anisotropy on the spin- kagome antiferromagnet using Schwinger-boson mean-field theory. The anisotropy is introduced by strengthe…
Basis for non-derivative baryon-number-violating operators
Julian Heeck, Brandon B. Le
We present a minimal basis for non-derivative baryon-number-violating operators in the Standard Model Effective Field Theory up to mass dimension 11, as well as for the $(ΔB,ΔL) =…
Active-learning mapping of the Vicsek model phase diagram
Grace T. Bai, Brandon B. Le
The Vicsek model is a minimal model of collective motion, capturing how local alignment interactions can generate macroscopic nonequilibrium order in systems such as bird flocks. I…
Energy landscape of the kagome antiferromagnet: Characterization of multiple energy scales
Brandon B. Le, Seung-Hun Lee, Gia-Wei Chern
We investigate the energy landscape of the kagome Heisenberg antiferromagnet within its coplanar ground-state manifold. Although coplanar states are degenerate at harmonic order, t…
Quantum Qualifiers for Neural Network Model Selection in Hadronic Physics
Brandon B. Le, D. Keller
As quantum machine-learning architectures mature, a central challenge is no longer their construction, but identifying the regimes in which they offer practical advantages over cla…
Phase-space networks and connectivity of the kagome antiferromagnet
Brandon B. Le, Seung-Hun Lee, Gia-Wei Chern
We study the coplanar ground-state manifold of the kagome Heisenberg antiferromagnet using a phase-space network representation, in which nodes correspond to coplanar ground states…
Final state sensitivity and fractal basin boundaries from coupled Chialvo neurons
Bennett Lamb, Brandon B. Le
We investigate and quantify the basin geometry and extreme final state uncertainty of two identical electrically asymmetrically coupled Chialvo neurons. The system's diverse behavi…
Ubiquity of Uncertainty in Neuron Systems
Brandon B. Le, Bennett Lamb, Luke Benfer +3
We demonstrate that final-state uncertainty is ubiquitous in multistable systems of coupled neuronal maps, meaning that predicting whether one such system will eventually be chaoti…
Hyperchaos and complex dynamical regimes in -dimensional neuron lattices
Brandon B. Le, Dima Watkins
We study the dynamics of -dimensional lattices of nonchaotic Rulkov neurons coupled with a flow of electrical current. We consider both nearest-neighbor and next-nearest-neighbo…
Compton Form Factor Extraction using Quantum Deep Neural Networks
Brandon B. Le, Dustin Keller
We extract Compton form factors (CFFs) from deeply virtual Compton scattering measurements at the Thomas Jefferson National Accelerator Facility (JLab) using quantum-inspired deep…
Asymmetric coupling of nonchaotic Rulkov neurons: Fractal attractors, quasimultistability, and final state sensitivity
Brandon B. Le
Although neuron models have been well studied for their rich dynamics and biological properties, limited research has been done on the complex geometries that emerge from the basin…
Chaotic Dynamics and Fractal Geometry in Ring Lattice Systems of Nonchaotic Rulkov Neurons
Brandon B. Le
This paper investigates the complex dynamics and fractal attractors that arise in a 60-dimensional ring lattice system of electrically coupled nonchaotic Rulkov neurons. While netw…
Describing chaotic systems
Brandon Le
In this paper, we discuss the Lyapunov exponent definition of chaos and how it can be used to quantify the chaotic behavior of a system. We derive a way to practically calculate th…
Exploring Geometrical Properties of Chaotic Systems Through an Analysis of the Rulkov Neuron Maps
Brandon B. Le, Nivika A. Gandhi
While extensive research has been conducted on chaos emerging from a dynamical system's temporal dynamics, our research examines extreme sensitivity to initial conditions in discre…