Results 121 to 130 of about 1,594,650 (367)

Adversarially-trained autoencoders for robust unsupervised new physics searches

open access: yesJournal of High Energy Physics, 2019
Machine learning techniques in particle physics are most powerful when they are trained directly on data, to avoid sensitivity to theoretical uncertainties or an underlying bias on the expected signal.
Andrew Blance   +2 more
doaj   +1 more source

Sonication‐Assisted Palladium Nanogaps in a Capacitive Structure: A Tunable and Reliable Solution for Sensitive Hydrogen Monitoring

open access: yesAdvanced Functional Materials, EarlyView.
This study presents a capacitive hydrogen sensor with a simple structure and process. Sonication‐induced Pd nanogaps modulate the effective electrode area in response to hydrogen concentration, resulting in capacitance changes within a range predefined by physical parameters.
Sang‐kil Lee   +9 more
wiley   +1 more source

Operator Product on Locally Symmetric Spaces of Rank One and the Multiplicative Anomaly

open access: yes, 2003
The global multiplicative properties of Laplace type operators acting on irreducible rank one symmetric spaces are considered. The explicit form of the multiplicative anomaly is derived and its corresponding value is calculated exactly, for important ...
A. A. Bytsenko   +5 more
core   +1 more source

Low‐Symmetry Weyl Semimetals: A Path to Ideal Topological States

open access: yesAdvanced Functional Materials, EarlyView.
This study presents a theoretical framework for realizing ideal Weyl semimetals, where Weyl nodes are well‐isolated at the Fermi level. The approach is exemplified in the low‐symmetry material Cu2SnSe3, which exhibits tunable topological phases, current‐induced orbital magnetization, and a strong circular photogalvanic effect, making it a promising ...
Darius‐Alexandru Deaconu   +3 more
wiley   +1 more source

Modulating Oxide‐Based Quantum Materials by Ion Implantation

open access: yesAdvanced Functional Materials, EarlyView.
This review highlights how ion implantation, a well developed chip‐technology, enables targeted modulation of oxide‐based quantum materials. This includes tuning of metal‐insulator transitions, magnetism, and superconductivity through selective doping, defect creation, and induced lattice strain. Abstract Ion implantation has emerged as a powerful tool
Andreas Herklotz   +2 more
wiley   +1 more source

Emergence of Local Magnetic Moment in Ternary TaWSe2 Single Crystal via Atomic Clustering

open access: yesAdvanced Functional Materials, EarlyView.
This study investigates local magnetic moments in ternary TaWSe2. Triangular Ta clusters with consistent shapes are identified through STM/S, and DFT calculations. These clusters induce localized strain, generating magnetic moments at the cluster corners. Magnetic measurements confirm a magnetic anomaly at ∼50 K.
Nguyen Huu Lam   +13 more
wiley   +1 more source

The EDGES 21 cm Anomaly and Properties of Dark Matter

open access: yes, 2018
The recently claimed anomaly in the measurement of the 21 cm hydrogen absorption signal by EDGES at $z\sim 17$, if cosmological, requires the existence of new physics.
Fraser, Sean   +10 more
core   +1 more source

Field‐Free Spin–Orbit Torque Switching of Perpendicular Magnetization by PtTe2/WTe2 Bilayers at Sub‐ns Timescales

open access: yesAdvanced Functional Materials, EarlyView.
This work demonstrates ultrafast, field‐free spin–orbit torque (SOT) switching using a PtTe2/WTe2/CoFeB multilayer, achieving sub‐nanosecond magnetization reversal with record‐low energy consumption. The PtTe2/WTe2 bilayer generates an intrinsic out‐of‐plane spin current, enabling deterministic switching without external fields.
Qu Yang   +7 more
wiley   +1 more source

Robust anomaly detection for particle physics using multi-background representation learning

open access: yesMachine Learning: Science and Technology
Anomaly, or out-of-distribution, detection is a promising tool for aiding discoveries of new particles or processes in particle physics. In this work, we identify and address two overlooked opportunities to improve anomaly detection (AD) for high-energy ...
Abhijith Gandrakota   +6 more
doaj   +1 more source

Dark matter for b → sμ + μ − anomaly in a gauged U(1) X model

open access: yesJournal of High Energy Physics, 2018
We propose a new physics model which has a cold dark matter candidate and can explain the b → sμ + μ − anomaly at the same time. Our model includes a scalar quark q ˜ $$ \tilde{q} $$ and a scalar lepton ℓ ˜ $$ \tilde{\ell} $$ which are SU(2) L -doublet ...
Seungwon Baek, Chaehyun Yu
doaj   +1 more source

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