Results 81 to 90 of about 15,959 (250)

SU(N) gauge theories in 3+1 dimensions: glueball spectrum, string tensions and topology

open access: yesJournal of High Energy Physics, 2021
We calculate the low-lying glueball spectrum, several string tensions and some properties of topology and the running coupling for SU(N) lattice gauge theories in 3 + 1 dimensions.
Andreas Athenodorou, Michael Teper
doaj   +1 more source

Hierarchical Artificial Muscle with Nonlinear Elasticity for Antagonistic and Cyclic Robotics

open access: yesAdvanced Science, EarlyView.
We construct hierarchical muscles by plying nylon fibers around a heating wire. The hierarchical muscle shows a J‐shaped passive curve, which shows benefit in antagonistic muscle pair and work accumulation mechanism. We also develop a computational, first‐principle model to understand the physics of both active actuation stroke and passive J‐curve ...
Samuel Tsai   +15 more
wiley   +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

Effects of underlying topology on quantum state discrimination

open access: yesEuropean Physical Journal C: Particles and Fields
In this work, we show that quantum state discrimination can be modified due to a change in the underlying topology of a system. In particular, we explicitly demonstrate that the quantum state discrimination of systems with underlying discrete topology ...
Aatif Kaisar Khan   +5 more
doaj   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Superstring scattering on the real projective plane

open access: yesJournal of High Energy Physics
Superstring scattering from orientifold planes requires considering string amplitudes on world-sheets with crosscaps with the lowest order case (in string coupling constant) having the topology of the real projective plane. While amplitudes on the latter
Andreas Bischof, Stephan Stieberger
doaj   +1 more source

Topology of strings: Median string is NP-complete

open access: yesTheoretical Computer Science, 2000
Given a set of strings, the problem of finding a string that minimises its distance to the set is directly related with problems frequently encountered in areas involving pattern recognition or computational biology. Based on the Levenshtein (or edit) distance, different definitions of distances between a string and a set of strings can be adopted.
de la Higuera, C., Casacuberta, F.
openaire   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

open access: yesAdvanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang   +4 more
wiley   +1 more source

Constraints on the topology of Type IIB string theory

open access: yesJournal of High Energy Physics
We discuss some topological constraints on Type IIB string theory that cannot be described by elementary characteristic classes. Anomaly cancellation of the worldvolume theory of a D3-brane requires a shifted Dirac quantization condition of the Ramond ...
Kazuya Yonekura
doaj   +1 more source

Thermodynamic analysis of black holes with cloud of strings and quintessence via Barrow entropy

open access: yesPhysics Letters B
We explore a Reissner-Nordström Anti-de Sitter (RN-AdS) black hole with a cloud of string and quintessence to study thermodynamics and thermodynamic topology in the presence of Barrow entropy, which is currently being used widely as the horizon of a ...
Usman Zafar   +3 more
doaj   +1 more source

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