387 citations · 2.4k across the 119 of their papers we have counts for
18 papers · 1 filter
Machine Learning-Assisted Measurement of Lepton-Jet Azimuthal Angular Asymmetries in Deep-Inelastic Scattering at HERA
The H1 collaboration, V. Andreev, M. Arratia +141
In deep-inelastic positron-proton scattering, the lepton-jet azimuthal angular asymmetry is measured using data collected with the H1 detector at HERA. When the average transverse…
Anomalous hardening of spin waves in cobalt/molecular-semiconductor heterostructures reveals strongly anisotropic spinterface magnetism
J. Strohsack, A. Shumilin, H. Zhao +11
The interface between a ferromagnetic metal and an organic molecular semiconductor, commonly referred to as a spinterface, is an important component for advancing spintronic techno…
Contrastive Deep Learning Reveals Age Biomarkers in Histopathological Skin Biopsies
Kaustubh Chakradeo, Pernille Nielsen, Lise Mette Rahbek Gjerdrum +5
As global life expectancy increases, so does the burden of chronic diseases, yet individuals exhibit considerable variability in the rate at which they age. Identifying biomarkers…
Qureka! Box -- An ENSAR methodology based tool for understanding quantum computing concepts
Abhishek Purohit, Jose Jorge Christen, Richard Kienhoefer +3
As nations and organisations worldwide intensify their efforts and investments to commercialise quantum technologies and explore practical applications across various industries, t…
Charged Higgs Boson Mass Bounds in 2HDM-II: Impact of Vector-Like Quarks
Rachid Benbrik, Mohammed Boukidi, Stefano Moretti
We explore the phenomenology of charged Higgs bosons () and Vector-Like Quarks (VLQs), specifically the top-like , within the Two Higgs Doublet Model Type-II (2HDM-II). W…
Learning Atoms from Crystal Structure
Andrij Vasylenko, Dmytro Antypov, Sven Schewe +4
Computational modelling of materials using machine learning, ML, and historical data has become integral to materials research. The efficiency of computational modelling is strongl…