Results 41 to 50 of about 34,234 (192)

Lorentz transformations as inner derivations in string field theory and the associativity anomaly revisited

open access: yesNuclear Physics B, 1988
Abstract Lorentz transformations of string fields are shown to be generated by inner derivations. This is explicitly checked using the operator formulation of string field theory. An associativity anomaly then appears in much the same manner as when checking translations as inner derivations.
openaire   +1 more source

Gauging Away the Strong CP Problem

open access: yes, 2002
We propose a new solution to the strong-CP problem. It involves the existence of an unbroken gauged $U(1)_X$ symmetry whose gauge boson gets a Stuckelberg mass term by combining with a pseudoscalar field $\eta (x)$. The latter has axion-like couplings to
A.G. Cohen   +36 more
core   +1 more source

Number of Fermion Generations Derived from Anomaly Cancellation [PDF]

open access: yes, 2001
We prove that global anomaly cancellation requires more than one generation of quarks and leptons, provided that the standard model fields propagate in two universal extra dimensions.
A. N. Redlich   +18 more
core   +2 more sources

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

open access: yesAdvanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju   +5 more
wiley   +1 more source

Anomaly enforced gaplessness for background flux anomalies and symmetry fractionalization

open access: yesJournal of High Energy Physics
Anomalous symmetries are known to strongly constrain the possible IR behavior along any renormalization group (RG) flow. Recently, the extension of the notion of symmetry in QFT has provided new types of anomalies with a corresponding new class of ...
T.Daniel Brennan, Aiden Sheckler
doaj   +1 more source

Anomalous currents and constitutive relations of a chiral hadronic superfluid

open access: yesJournal of High Energy Physics, 2019
The anomalous currents of two-flavor chiral nuclear matter in the presence of chiral imbalance are computed, using recently developed methods exploiting generalized transgression, which facilitates the evaluation of both the equilibrium partition ...
Juan L. Mañes   +3 more
doaj   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

open access: yesAdvanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray   +3 more
wiley   +1 more source

A long exact sequence in symmetry breaking: order parameter constraints, defect anomaly-matching, and higher Berry phases

open access: yesJournal of High Energy Physics
We study defects in symmetry breaking phases, such as domain walls, vortices, and hedgehogs. In particular, we focus on the localized gapless excitations which sometimes occur at the cores of these objects.
Arun Debray   +5 more
doaj   +1 more source

Toric 2-group anomalies via cobordism

open access: yesJournal of High Energy Physics, 2023
2-group symmetries arise in physics when a 0-form symmetry G [0] and a 1-form symmetry H [1] intertwine, forming a generalised group-like structure. Specialising to the case where both G [0] and H [1] are compact, connected, abelian groups (i.e.
Joe Davighi   +2 more
doaj   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu   +8 more
wiley   +1 more source

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