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Related papers: Left handed materials

200 papers

Driven by the recent rapid increase in the number of materials databases published (open and commercial), I discuss here some perspectives on the growing need for standardized, interoperable, open databases. The field of computational…

Materials Science · Physics 2019-11-14 François-Xavier Coudert

A review of envisaged future quark transversity measurements is presented.

High Energy Physics - Phenomenology · Physics 2015-06-25 V. A. Korotkov , W. -D. Nowak

We give a brief account of the current limitations and possibilities in the field of computational simulation of materials. We then focus on the effect that the emergence of machine learning interatomic potentials is having on the field and…

Materials Science · Physics 2019-05-29 Miguel A. Caro

There is strong evidence for the existence of dark matter in a number of current experiments. We study dark matter using the $U(1)_X$SSM obtained from the $U(1)_X$ extension of the minimal supersymmetric standard model (MSSM). In the…

High Energy Physics - Phenomenology · Physics 2024-12-17 Ming-Yue Liu , Shu-Min Zhao , Song Gao , Long Ruan , Tai-Fu Feng

I discuss the lattice calculations relevant to recent advances in CKM phenomenology, focusing on those relevant to new experimental results reported at this workshop.

High Energy Physics - Phenomenology · Physics 2007-05-23 Paul B. Mackenzie

The papers review the main theoretical and experimental aspects of the Forward Physics at the Large Hadron Collider.

Neutrino physics has seen an explosion of activity and new results in the last decade. In this report the current state of the field is summarized, with a particular focus on progress in the last two years. Prospects for the near term…

High Energy Physics - Experiment · Physics 2008-11-26 Steve Brice

Recent applications of machine learning and statistical inference provide case studies demonstrating how such approaches can accelerate the discovery process in physical chemistry and related fields. Examples discussed in this review…

Chemical Physics · Physics 2017-06-20 Ryan B. Jadrich , Beth A. Lindquist , Thomas M. Truskett

Recognizing material from color images is still a challenging problem today. While deep neural networks provide very good results on object recognition and has been the topic of a huge amount of papers in the last decade, their adaptation…

Computer Vision and Pattern Recognition · Computer Science 2020-12-15 Alain Tremeau , Sixiang Xu , Damien Muselet

A survey of recent QCD results using the ATLAS detector at the LHC is presented.

High Energy Physics - Experiment · Physics 2019-08-13 Chris Meyer

I review the recent progress in small $x$ physics, concentrating on the topics relevant to the BFKL evolution.

High Energy Physics - Phenomenology · Physics 2007-05-23 Hsiang-nan Li

In the last decades, digital manufacturing has constituted the headline of what is starting to be known as the 'fourth industrial revolution', where the fabrication processes comprise a hybrid of technologies that blur the lines between…

Applied Physics · Physics 2023-04-27 Camilo Florian , Pere Serra

A perspective on charm physics, emphasizing recent developments, future prospects, and the interplay with lattice QCD.

High Energy Physics - Phenomenology · Physics 2013-12-11 Andreas S. Kronfeld

Recent progress in Lattice QCD is highlighted. After a brief introduction to the methodology of lattice computations the presentation focuses on three main topics: Hadron Spectroscopy, Hadron Structure and Lattice Flavor Physics. In each…

High Energy Physics - Lattice · Physics 2013-01-10 Stephan Durr

The purpose of this paper is to introduce an algebraic cohomology and formal deformation theory of left alternative algebras. Connections to some other algebraic structures are given also.

Rings and Algebras · Mathematics 2016-10-17 Mohamed Elhamdadi , Abdenacer Makhlouf

I review and discuss a selected sample of recent results in pNRQCD.

High Energy Physics - Phenomenology · Physics 2007-05-23 Antonio Vairo

Deep Learning is one of the newest trends in Machine Learning and Artificial Intelligence research. It is also one of the most popular scientific research trends now-a-days. Deep learning methods have brought revolutionary advances in…

Machine Learning · Computer Science 2018-07-24 Matiur Rahman Minar , Jibon Naher

Experimental contributors to the field of Superconducting Materials share their informal views on the subject.

We begin with a description of recent numerical and analytical results that are closely related to the results of this paper.

Numerical Analysis · Mathematics 2025-10-20 Percy Deift , Thomas Kriecherbauer , Stephanos Venakides

We discuss some recent lattice results on a few selected hadronic quantities relevant for heavy flavour phenomenology and present some recent theoretical developments. We put the emphasis on the challenges, which have to be faced, on the…

High Energy Physics - Lattice · Physics 2011-08-19 Michele Della Morte
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