Results 51 to 60 of about 497,884 (333)
Challenges and Prospects in Ocean Circulation Models
We revisit the challenges and prospects for ocean circulation models following Griffies et al. (2010). Over the past decade, ocean circulation models evolved through improved understanding, numerics, spatial discretization, grid configurations ...
Baylor Fox-Kemper +36 more
doaj +1 more source
Dual parameterization of generalized parton distributions and description of DVCS data
We discuss a new leading-order parameterization of generalized parton distributions of the proton, which is based on the idea of duality. In its minimal version, the parameterization is defined by the usual quark singlet parton distributions and the form
Belitsky +36 more
core +1 more source
The Chew-Mandelstam parameterization, which has been used extensively in the two-body hadronic sector, is generalized in this exploratory study to the electromagnetic sector by simultaneous fits to the pion- and eta-photoproduction S-wave multipole ...
A. D. Martin +10 more
core +1 more source
Sequentializing Parameterized Programs [PDF]
We exhibit assertion-preserving (reachability preserving) transformations from parameterized concurrent shared-memory programs, under a k-round scheduling of processes, to sequential programs. The salient feature of the sequential program is that it tracks the local variables of only one thread at any point, and uses only O(k) copies of shared ...
LA TORRE, Salvatore +2 more
openaire +7 more sources
The vertical eddy diffusivity (VED) in the planetary boundary layer (PBL) affects tropical cyclones' structure and evolution. Uncertainties of VED in the PBL parametrization scheme of a mesoscale model could be caused by the model's inability to ...
Xin Li, Zhaoxia Pu
doaj +1 more source
Chern-Simons Reduction and non-Abelian Fluid Mechanics [PDF]
We propose a non-Abelian generalization of the Clebsch parameterization for a vector in three dimensions. The construction is based on a group-theoretical reduction of the Chern-Simons form on a symmetric space.
A.P. Balachandran +21 more
core +5 more sources
A Scalable Molecular Force Field Parameterization Method Based on Density Functional Theory and Quantum-Level Machine Learning [PDF]
Fast and accurate molecular force field (FF) parameterization is still an unsolved problem. Accurate FFs are not generally available for all molecules, like novel drug-like molecules.
Raimondas Galvelis +4 more
semanticscholar +1 more source
Linearly Parameterized Bandits [PDF]
We consider bandit problems involving a large (possibly infinite) collection of arms, in which the expected reward of each arm is a linear function of an r-dimensional random vector Z ∈ ℝr, where r ≥ 2. The objective is to minimize the cumulative regret and Bayes risk.
Tsitsiklis, John N. +1 more
openaire +4 more sources
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei +3 more
wiley +1 more source
Estimating crop model parameters for simulating soybean production in Iran conditions☆
Crop modelling has the potential to contribute to food security. In this study, to provide a simple model for estimating the soybean potential yield and phenological stages in Iran, a simulation model (SSM_iCrop2) was parameterized and tested. This model
Nehbandani Alireza +3 more
doaj +1 more source

