Results 31 to 40 of about 123,177 (247)

Mathematical models and numerical solutions of liquid-solid and solid-liquid phase change

open access: yesJournal of Thermal Engineering, 2015
This paper presents numerical simulations of liquid-solid and solid-liquid phase change processes using mathematical models in Lagrangian and Eulerian descriptions.
Karan Surana   +3 more
doaj   +1 more source

A Soft Robotic Fish With a Dielectric Elastomer Actuator Body and Negative Stiffness Spine

open access: yesAdvanced Robotics Research, EarlyView.
This work introduces a bio‐mimetic soft robotic fish driven by fiber‐reinforced dielectric elastomer actuators integrated as its body. By prestretching this active skin against a flexible spine, a negative stiffness system is created, enabling large‐amplitude bending.
Markus Koenigsdorff   +4 more
wiley   +1 more source

On the off-shell superfield Lagrangian formulation of 4D, N=1 supersymmetric infinite spin theory

open access: yesPhysics Letters B, 2022
We develop a complete off-shell Lagrangian description of the free 4D,N=1 supersymmetric theory of infinite spin. Bosonic and fermionic fields are formulated in terms of spin-tensor fields with dotted and undotted indices.
I.L. Buchbinder   +3 more
doaj   +1 more source

A global coupled Eulerian-Lagrangian model and 1 × 1 km CO2 surface flux dataset for high-resolution atmospheric CO2 transport simulations [PDF]

open access: yes, 2012
We designed a method to simulate atmospheric CO2 concentrations at several continuous observation sites around the globe using surface fluxes at a very high spatial resolution.
Lukyanov, A   +57 more
core   +2 more sources

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

open access: yesAdvanced Robotics Research, EarlyView.
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang   +5 more
wiley   +1 more source

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

Symplectic Applicability of Lagrangian Surfaces [PDF]

open access: yes, 2009
We develop an approach to affine symplectic invariant geometry of Lagrangian surfaces by the method of moving frames. The fundamental invariants of elliptic Lagrangian immersions in affine symplectic four-space are derived together with their ...
Lorenzo Nicolodi   +6 more
core   +1 more source

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

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

Generative Lagrangian data assimilation for ocean dynamics under extreme sparsity

open access: yesMachine Learning. Earth
Reconstructing ocean dynamics from observational data is fundamentally limited by the sparse, irregular, and Lagrangian nature of spatial sampling, particularly in subsurface and remote regions.
Niloofar Asefi   +4 more
doaj   +1 more source

Home - About - Disclaimer - Privacy