Results 41 to 50 of about 1,065 (169)
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
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
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
The UV fate of anomalous U(1)s and the Swampland
Massive U(1) gauge theories featuring parametrically light vectors are suspected to belong in the Swampland of consistent EFTs that cannot be embedded into a theory of quantum gravity.
Nathaniel Craig +2 more
doaj +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
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
BCF anomaly and higher-group structure in the low energy effective theories of mesons
We discuss the BCF anomaly of massless QCD-like theories, first obtained by Anber and Poppitz, from the viewpoint of the low energy effective theories.
Tatsuki Nakajima +2 more
doaj +1 more source
Digital Technology's Role in Circular Waste Management: A Systematic Review
ABSTRACT Combining circular economy ideas with digital tools offers a game‐changing way to tackle global sustainability problems. This paper focuses on how digital changes and circular economy models link up. A review has been conducted for 112 articles from 2021 to September 2025, using PRISMA‐2020 methodology. This study covered new tech like AI, IoT,
Reza Eslamipoor
wiley +1 more source
Note on higher-group structure in 6d self-dual gauge theory
We analyze higher-group structure of a 6d model coupled with a self-dual 2-form gauge field. This model is defined from 6d axion-electrodynamics with a 1-form Chern-Weil(CW) symmetry gauged dynamically.
Tatsuki Nakajima +2 more
doaj +1 more source
Field theories with higher-group symmetry from composite currents
Higher-form symmetries are associated with transformations that only act on extended objects, not on point particles. Typically, higher-form symmetries live alongside ordinary, point-particle (0-form), symmetries and they can be jointly described in ...
Tomáš Brauner
doaj +1 more source
ABSTRACT ESG ratings for the same firm‐year often diverge, shaping capital allocation and accountability. Drawing on a structured systematic‐narrative hybrid review, I synthesize evidence across the European Union, the United States, and China and develop a transnational accountability framework that traces divergence through the measurement pipeline ...
Gary Gang Tian
wiley +1 more source
The Green-Schwarz mechanism and geometric anomaly relations in 2d (0,2) F-theory vacua
We study the structure of gauge and gravitational anomalies in 2d N = (0, 2) theories obtained by compactification of F-theory on elliptically fibered Calabi-Yau 5-folds. Abelian gauge anomalies, induced at 1-loop in perturbation theory, are cancelled by
Timo Weigand, Fengjun Xu
doaj +1 more source

