Results 71 to 80 of about 1,791 (221)

AGIcam: An open‐source Internet of Things–based camera system for automated in‐field phenotyping and yield prediction

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Continuous, high‐frequency monitoring is essential to capture rapid phenological transitions and dynamic crop responses to the environment. However, most phenotyping platforms lack the temporal resolution and automation required for consistent, season‐long trait assessment.
Worasit Sangjan   +5 more
wiley   +1 more source

The Huang–Yang Formula for the Low‐Density Fermi Gas: Upper Bound

open access: yesCommunications on Pure and Applied Mathematics, Volume 79, Issue 8, Page 1919-1972, August 2026.
ABSTRACT We study the ground state energy of a gas of spin 1/2$1/2$ fermions with repulsive short‐range interactions. We derive an upper bound that agrees, at low density ϱ$\varrho$, with the Huang–Yang conjecture. The latter captures the first three terms in an asymptotic low‐density expansion, and in particular the Huang–Yang correction term of order
Emanuela L. Giacomelli   +3 more
wiley   +1 more source

Renormalization in non-relativistic quantum mechanics [PDF]

open access: yes, 2020
A problem of non-relativistic quantum mechanics solved using regularization and renormalization techniques is presented in this thesis. After a general introduction of these techniques, they are applied to a problem in classical electromagnetism and to ...
Tagliazucchi, Matteo
core  

Invariant Measure and Universality of the 2D Yang–Mills Langevin Dynamic

open access: yesCommunications on Pure and Applied Mathematics, Volume 79, Issue 8, Page 1973-2102, August 2026.
ABSTRACT We prove that the Yang–Mills (YM) measure for the trivial principal bundle over the two‐dimensional torus, with any connected, compact structure group, is invariant for the associated renormalised Langevin dynamic. Our argument relies on a combination of regularity structures, lattice gauge‐fixing and Bourgain's method for invariant measures ...
Ilya Chevyrev, Hao Shen
wiley   +1 more source

B → K∗µ+µ− and Form Factors for Semi-Leptonic and Radiative B Decays [PDF]

open access: yes, 2010
The hadronic environment of the LHC favours the study of exclusive modes, and of these semi-leptonic and radiative B decays will play a leading role in the search for new physics (NP).
BHARUCHA, AOIFE,KATY,MANEK   +1 more
core  

One-loop operator matching in the static heavy and domain-wall light quark system with O(a) improvement

open access: yes, 2011
We discuss perturbative O(g2a) matching with static heavy quarks and domainwall light quarks for lattice operators relevant to B-meson decays and B0–¯B 0 mixing. The chiral symmetry of the light domain-wall quarks does not prohibit operator mixing at O(a)
Aoki, Yasumichi   +9 more
core   +1 more source

Optimizing the Collaborative Supply Scheduling of Renewable Energy in the Tourism Industry Chain Using Graph Neural Networks

open access: yesEngineering Reports, Volume 8, Issue 6, June 2026.
Typical configuration of Huangshan Scenic Area. ABSTRACT To cope with the supply and demand imbalance challenge caused by the surge in energy demand in tourism‐intensive areas and the high volatility of renewable energy, this paper aims to construct a collaborative scheduling optimization model based on graph neural networks (GNNs). The model abstracts
Lixia Wang
wiley   +1 more source

Encoding Cumulation to Learn Perturbative Nonlinear Oscillatory Dynamics

open access: yesAdvanced Science, Volume 13, Issue 25, 4 May 2026.
Weak nonlinearities critically shape the long term behavior of oscillatory systems but are difficult to identify from data. A data‐driven framework is introduced to infer governing equations of weakly nonlinear oscillators from sparse and noisy observations.
Teng Ma   +5 more
wiley   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

open access: yesAdvanced Intelligent Systems, Volume 8, Issue 5, May 2026.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy   +2 more
wiley   +1 more source

Lattice Fermion Simulation of Spontaneous Time‐Reversal Symmetry Breaking in a Helical Luttinger Liquid

open access: yesAnnalen der Physik, Volume 538, Issue 5, May 2026.
Can a purely one‐dimensional lattice capture the delicate edge physics of a quantum spin Hall system? This work shows that tangent fermions can simulate helical Luttinger liquids without fermion doubling, revealing how strong interactions open a gap and spontaneously break time‐reversal symmetry.
V. A. Zakharov   +2 more
wiley   +1 more source

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