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This work brings forward an alternative experimental approach to infer the topological character of phase transitions in insulators. This method relies on subjecting the target system to a set of external fields, each of which consists of…

Mesoscale and Nanoscale Physics · Physics 2021-12-08 Panagiotis Kotetes

The van der Waals heterostructures are a fertile frontier for discovering emergent phenomena in condensed matter systems. They are constructed by stacking elements of a large library of two-dimensional materials, which couple together…

Mesoscale and Nanoscale Physics · Physics 2020-05-22 William Dorrell , Harris Pirie , S. Minhal Gardezi , Nathan C. Drucker , Jennifer E. Hoffman

The study of moir\'e engineering started with the advent of van der Waals heterostructures in which stacking two-dimensional layers with different lattice constants leads to a moir\'e pattern controlling their electronic properties. The…

Mesoscale and Nanoscale Physics · Physics 2023-08-28 F. Mesple , N. R. Walet , G. Trambly de Laissardière , F. Guinea , D. Dosenovic , H. Okuno , C. Paillet , A. Michon , C. Chapelier , V. T. Renard

Nanowires (NWs) of topological materials are emerging as an exciting platform to probe and engineer new quantum phenomena that are hard to access in bulk phase. Their quasi-one-dimensional geometry and large surface-to-bulk ratio unlock new…

We introduce SciWING, an open-source software toolkit which provides access to pre-trained models for scientific document processing tasks, inclusive of citation string parsing and logical structure recovery. SciWING enables researchers to…

Digital Libraries · Computer Science 2020-10-26 Abhinav Ramesh Kashyap , Min-Yen Kan

In this work we propose a new online, low cost and fast approach based on computer vision and machine learning to determine whether cutting tools used in edge profile milling processes are serviceable or disposable based on their wear…

Computer Vision and Pattern Recognition · Computer Science 2024-02-12 M. T. García-Ordás , E. Alegre-Gutiérrez , R. Alaiz-Rodríguez , V. González-Castro

In quantum mechanics, a quantum wavepacket may acquire a geometrical phase as it evolves along a cyclic trajectory in parameter space. In condensed matter systems, the Berry phase plays a crucial role in fundamental phenomena such as the…

Twisted bilayers of two-dimensional (2D) materials have emerged as a highly tunable platform to study and engineer properties of excitons. However, the atomistic description of these properties has remained a significant challenge as a…

Materials Science · Physics 2025-03-13 Indrajit Maity , Arash A. Mostofi , Johannes Lischner

We introduce a new computational methodology for the identification and characterization of free volume within/around atomistic configurations. This scheme employs a three-stage workflow, by which spheres are iteratively grown inside of…

Materials Science · Physics 2022-07-11 James Chapman , Nir Goldman

We present a real-space view of one-dimensional (1D) to three-dimensional (3D) topological materials with 13 representative samples selected from each class, including 1D trans-polyacetylene, two-dimensional (2D) graphene, and 3D…

Strongly Correlated Electrons · Physics 2019-02-08 F. C. Chou

The analysis of Fourier-transformed scanning-tunneling-microscopy (STM) images with subatomic resolution is a common tool for studying properties of quasiparticle excitations in strongly correlated materials. While Fourier amplitudes are…

Strongly Correlated Electrons · Physics 2016-11-30 Emanuele G. Dalla Torre , Yang He , Eugene Demler

Unveiling new topological phases of matter is one of the current objectives in condensed matter physics. Recent experimental discoveries of Dirac and Weyl semimetals prompt to search for other exotic phases of matter. Here we present a…

We present a methodology for detecting non-linearities in data sets based on the characterization of the structural features of the Fourier phase maps. A Fourier phase map is a 2D set of points $M= \{(\phi_{\vec{k}}, \phi_{\vec{k} +…

Data Analysis, Statistics and Probability · Physics 2007-05-23 Roberto A. Monetti , Wolfram Bunk , Ferdinand Jamitzky , Christoph Raeth , Gregor Morfill

The world of 2D materials is rapidly expanding with new discoveries of stackable and twistable layered systems composed of lattices of different symmetries, orbital character, and structural motifs. Often, however, it is not clear a priori…

Mesoscale and Nanoscale Physics · Physics 2025-12-19 Daniel Kaplan , Alexander C. Tyner , Eva Y. Andrei , J. H. Pixley

In protein structure analysis, the accurate characterization of secondary structure elements is crucial for understanding protein function and dynamics. This paper presents a software system designed for the comprehensive analysis of the…

Biomolecules · Quantitative Biology 2024-04-05 Vedh Kannan

Wilson is a Python library for matching and running Wilson coefficients of higher-dimensional operators beyond the Standard Model. Provided with the numerical values of the Wilson coefficients at a high new physics scale, it automatically…

High Energy Physics - Phenomenology · Physics 2019-01-08 Jason Aebischer , Jacky Kumar , David M. Straub

This is the manual of the first version of QEDtool, an object-oriented Python package that performs numerical quantum electrodynamics calculations, with focus on full state reconstruction in the internal degrees of freedom, correlations and…

High Energy Physics - Theory · Physics 2026-04-07 Jesse Smeets , Preslav Asenov , Alessio Serafini

We present BraWl, a Fortran package implementing a range of conventional and enhanced sampling algorithms for exploration of the phase space of the Bragg-Williams model, facilitating study of diffusional solid-solid transformations in…

Computational Physics · Physics 2025-12-11 Hubert J. Naguszewski , Livia B. Pártay , David Quigley , Christopher D. Woodgate

Numerical simulations of Einstein's field equations provide unique insights into the physics of compact objects moving at relativistic speeds, and which are driven by strong gravitational interactions. Numerical relativity has played a key…

General Relativity and Quantum Cosmology · Physics 2018-07-09 Daniel Johnson , E. A. Huerta , Roland Haas

This thesis details a Python-based software designed to calculate the Jones polynomial, a vital mathematical tool from Knot Theory used for characterizing the topological and geometrical complexity of curves in \( \mathbb{R}^3 \), which is…

Mathematical Software · Computer Science 2024-10-31 Caleb Musfeldt