Results 41 to 50 of about 477,243 (287)

Hard‐Magnetic Soft Millirobots in Underactuated Systems

open access: yesAdvanced Robotics Research, EarlyView.
This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang   +4 more
wiley   +1 more source

Natural Lagrangians for quantum structures over 4-dimensional space-time [PDF]

open access: yesRendiconti di Matematica e delle Sue Applicazioni, 1998
The natural quantum Lagrangians which appear in Einstein general relativistic quantum mechanics are classified by using methods of gauge-natural bundles and natural operators.
J. Janyska
doaj  

A hybrid Eulerian–Lagrangian numerical scheme for solving prognostic equations in fluid dynamics [PDF]

open access: yesGeoscientific Model Development, 2013
A new hybrid Eulerian–Lagrangian numerical scheme (HEL) for solving prognostic equations in fluid dynamics is proposed. The basic idea is to use an Eulerian as well as a fully Lagrangian representation of all prognostic variables.
E. Kaas   +3 more
doaj   +1 more source

Scattering‐Enhanced Light Extraction for Radiative Thermal Load Mitigation in Fluorescent Films

open access: yesAdvanced Science, EarlyView.
Scattering‐enhanced light extraction overcomes total internal reflection limitations in fluorescent films, expanding the sub‐ambient cooling color range from 26.7% to 64.9% in CIE 1931 space. Optimal TiO2 nanoparticle doping (0.5 wt.%) achieves 85.9% light extraction efficiency and 89.5% visible reflectance.
Chenglong She   +6 more
wiley   +1 more source

Generalized Augmented Lagrangian Problem and Approximate Optimal Solutions in Nonlinear Programming

open access: yesJournal of Inequalities and Applications, 2007
We introduce some approximate optimal solutions and a generalized augmented Lagrangian in nonlinear programming, establish dual function and dual problem based on the generalized augmented Lagrangian, obtain approximate KKT necessary optimality condition
Zhe Chen, Kequan Zhao, Yuke Chen
doaj   +2 more sources

Unfolding a Hidden Lagrangian Structure of a Class of Evolution Equations

open access: yesAxioms, 2022
It is shown that a simple modification of the standard Lagrangian underlying the dynamics of Newtonian lattices enables one to infer the hidden Lagrangian structure of certain classes of first order in time evolution equations which lack the conventional
Philip Rosenau
doaj   +1 more source

Invariants for Lagrangian tori

open access: yes, 2004
We define an simple invariant of an embedded nullhomologous Lagrangian torus and use this invariant to show that many symplectic 4-manifolds have infinitely many pairwise symplectically inequivalent nullhomologous Lagrangian tori.
Fintushel   +13 more
core   +3 more sources

A Perspective on Interactive Theorem Provers in Physics

open access: yesAdvanced Science, EarlyView.
Into an interactive theorem provers (ITPs), one can write mathematical definitions, theorems and proofs, and the correctness of those results is automatically checked. This perspective goes over the best usage of ITPs within physics and motivates the open‐source community run project PhysLean, the aim of which is to be a library for digitalized physics
Joseph Tooby‐Smith
wiley   +1 more source

Covariant Hamiltonian field theory. Path integral quantization

open access: yes, 2004
The Hamiltonian counterpart of classical Lagrangian field theory is covariant Hamiltonian field theory where momenta correspond to derivatives of fields with respect to all world coordinates.
Bashkirov, D., Sardanashvily, G.
core   +3 more sources

Machine Learning for Accelerating Energy Materials Discovery: Bridging Quantum Accuracy with Computational Efficiency

open access: yesAdvanced Energy Materials, EarlyView.
This perspective highlights how machine learning accelerates sustainable energy materials discovery by integrating quantum‐accurate interatomic potentials with property prediction frameworks. The evolution from statistical methods to physics‐informed neural networks is examined, showcasing applications across batteries, catalysts, and photovoltaics ...
Kwang S. Kim
wiley   +1 more source

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