Research Summary Supervised machine learning (ML) methods are a powerful toolkit for
discovering robust patterns in quantitative data. The patterns identified by ML could be used …

Periapical radiolucencies, which can be detected on panoramic radiographs, are one of the
most common radiographic findings in dentistry and have a differential diagnosis including …

We propose a novel algorithm for calculating multi-baryon correlation functions on the lattice.
By considering the permutation of quarks (Wick contractions) and color/spinor contractions …

Standard methods for including electromagnetic interactions in lattice quantum chromodynamics
calculations result in power-law finite-volume corrections to physical quantities. …

… Author Contribution: Dr Endres had full access to all the data in the study and takes
responsibility for the integrity of the data and the accuracy of the data analysis. Drs Mak, …

We perform lattice Monte Carlo simulations for up to 66 unitary fermions in a finite box using
a highly improved lattice action for nonrelativistic spin-1 2 fermions. We obtain a value of 0. …

We present a method for simulating relativistic and nonrelativistic scalar field theories at finite
density, with matter transforming in the fundamental representation of the global symmetry …

We show how sign problems in simulations of many-body systems can manifest themselves
in the form of heavy-tailed correlator distributions, similar to what is seen in electron …

Rising temperatures are associated with reduced body size in many marine species, but the
biological cause and generality of the phenomenon is debated. We derive a predictive …

We present a lattice Monte Carlo approach developed for studying large numbers of strongly
interacting nonrelativistic fermions and apply it to a dilute gas of unitary fermions confined …