Tootfinder

Physicality Dominant Alpha Dog – Jaire Alexander, The Perfect Pete Carroll CB https://raiderramble.com/2025/06/09/physicality-dominant-alpha-dog-jaire-alexander-pete-carroll/

Generic Chiral Anomaly and Planar Hall Effect in a Non-Weyl System
Yongjian Wang, Alexander Wowchik, Thomas Boemerich, A. A. Taskin, Achim Rosch, Yoichi Ando
https://arxiv.org/abs/2506.09756

Generic Chiral Anomaly and Planar Hall Effect in a Non-Weyl System
The condensed-matter version of the chiral anomaly describes how electrons are pumped from a Weyl node with negative chirality to a Weyl node with positive chirality using parallel electric and magnetic fields. Key experimental signatures are a negative longitudinal magnetoresistance (LMR) and the planar Hall effect (PHE), both of which have been experimentally observed. Here, we show that the chiral anomaly explains key features of magnetotransport in the nodal-line semimetal ZrTe$_5$ despite …

Equation of State and First Principles Prediction of the Vibrational Matrix Shift of Solid Parahydrogen
Alexander Ibrahim, Lecheng Wang, Tom Halverson, Robert J Le Roy, Pierre-Nicholas Roy
https://arxiv.org/abs/2506.01294

Equation of State and First Principles Prediction of the Vibrational Matrix Shift of Solid Parahydrogen
We generate the equation of state (EOS) of solid parahydrogen using a path-integral Monte Carlo (PIMC) simulation based on a highly accurate first-principles adiabatic hindered rotor (AHR) potential energy curve for the \para dimer. The EOS curves for the fcc and hcp structures of solid parahydrogen near the equilibrium density show that the hcp structure is the more stable of the two, in agreement with experiment. To accurately reproduce the structural and energy properties of solid parahydrog…

An SCMA Receiver for 6G NTN based on Multi-Task Learning
Bruno De Filippo, Carla Amatetti, Riccardo Campana, Alessandro Guidotti, Alessandro Vanelli-Coralli
https://arxiv.org/abs/2506.05111

An SCMA Receiver for 6G NTN based on Multi-Task Learning
Future 6G networks are envisioned to enhance the user experience in a multitude of different ways. The unification of existing terrestrial networks with non-terrestrial network (NTN) components will provide users with ubiquitous connectivity. Multi-access edge computing (MEC) will enable low-latency services, with computations performed closer to the end users, and distributed learning paradigms. Advanced multiple access schemes, such as sparse code multiple access (SCMA), can be employed to ef…

Robust quantification of the diamond nitrogen-vacancy center charge state via photoluminescence spectroscopy
Giannis Thalassinos, Daniel J. McCloskey, Alessandro Mameli, Alexander J. Healey, Charlie Pattinson, David Simpson, Brant C. Gibson, Alastair Stacey, Nikolai Dontschuk, Philipp Reineck
https://arxiv.org/abs/2506.05786

Robust quantification of the diamond nitrogen-vacancy center charge state via photoluminescence spectroscopy
Nitrogen vacancy (NV) centers in diamond are at the heart of many emerging quantum technologies, all of which require control over the NV charge state. Hence, methods for quantification of the relative photoluminescence (PL) intensities of the NV$^0$ and NV$^-$ charge state, i.e., a charge state ratio, are vital. Several approaches to quantify NV charge state ratios have been reported but are either limited to bulk-like NV diamond samples or yield qualitative results. We propose an NV charge st…

Uncertainty-Aware Genomic Classification of Alzheimer's Disease: A Transformer-Based Ensemble Approach with Monte Carlo Dropout
Taeho Jo, Eun Hye Lee, Alzheimer's Disease Sequencing Project
https://arxiv.org/abs/2506.00662

Uncertainty-Aware Genomic Classification of Alzheimer's Disease: A Transformer-Based Ensemble Approach with Monte Carlo Dropout
INTRODUCTION: Alzheimer's disease (AD) is genetically complex, complicating robust classification from genomic data. METHODS: We developed a transformer-based ensemble model (TrUE-Net) using Monte Carlo Dropout for uncertainty estimation in AD classification from whole-genome sequencing (WGS). We combined a transformer that preserves single-nucleotide polymorphism (SNP) sequence structure with a concurrent random forest using flattened genotypes. An uncertainty threshold separated samples into …

This https://arxiv.org/abs/2505.22433 has been replaced.
initial toot: https://mastoxiv.page/@a…

Enantiosensitive locking of photoelectron spin and cation orientation
When electrons pass through chiral molecules, their transmission is strongly influenced by the orientation of their spin: molecules with opposite handedness preferentially transmit electrons with oppositely aligned spins. The underlying nature of this striking phenomenon, known as chirality-induced spin selectivity (CISS), remains controversial: its observed strength far surpasses predictions based on the typically weak spin-orbit interaction. A significant fraction of CISS phenomena are driven…