Results 261 to 270 of about 487,508 (331)

On Lagrangian Formalism [PDF]

open access: yesProgress of Theoretical Physics, 1952
openaire   +1 more source

Assessment of Vehicle Stability Processes Under Unsteady Flow Conditions

open access: yesJournal of Flood Risk Management, Volume 19, Issue 1, March 2026.
ABSTRACT The vehicle stability criteria are based on experimental and theoretical studies that do not account for the unsteady nature of floods. The rapid variation of depths and velocities in floods causes an additional hydrodynamic force in the direction of the flow, destabilising a vehicle that would otherwise be safe in steady flow conditions. This
Fatima Azhar   +2 more
wiley   +1 more source

WDVV‐based recursion for open Gromov–Witten invariants

open access: yesJournal of Topology, Volume 19, Issue 1, March 2026.
Abstract We give a computability result for open Gromov–Witten invariants based on open Witten–Dijkgraaf–Verlinde–Verlinde (WDVV) equations. This is analogous to the result of Kontsevich–Manin for closed Gromov–Witten invariants. For greater generality, we base the argument on a formal object, the Frobenius superpotential, that generalizes several ...
Roi Blumberg, Sara B. Tukachinsky
wiley   +1 more source

A method for computing acceleration-dependent Lagrangians

open access: hybrid, 2009
Ding Guang-Tao   +1 more
openalex   +1 more source

Origins of Precipitation in the World's Water Towers

open access: yesGeophysical Research Letters, Volume 53, Issue 3, 16 February 2026.
Abstract High‐mountain systems act as the planet's vital water towers, sustaining freshwater supplies for billions of people. Climate change is exacerbating hydrological imbalances in these regions, yet the moisture sources maintaining their precipitation—the primary water input—remain poorly quantified.
Bomei Zhang   +3 more
wiley   +1 more source

Quantifying the Influence of Climate on Storm Activity Using Machine Learning

open access: yesGeophysical Research Letters, Volume 53, Issue 3, 16 February 2026.
Abstract Midlatitude storms vary due to the slowly evolving climate and the rapidly changing synoptic conditions. While the impact of both factors has been studied extensively, their relative contributions remain poorly quantified. We use 84 years of ERA‐5 reanalysis data and convolutional neural networks to assess the relative importance of seasonal ...
Or Hadas, Yohai Kaspi
wiley   +1 more source

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