Results 11 to 20 of about 59,690 (299)
Soil and Water Research, 2023 The effect of drip irrigation on the origin and size fraction of soil organic carbon was studied in the soils of an apple orchard (Malus domestica Borkh.) on hilly (20%) terrain in northeastern Slovenia in three slope positions (upslope, midslope and ...
Mateja Muršec, Jean Leveque
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Revista Ambiente & Água, 2022 This study quantified the C content of the chemical and physical fractions of SOM in different management systems in an Argisoil of sandy texture. The study was carried out in a reference area of Native Forest (NF), and in three managed areas: Permanent ...
Giovana Tetsuya Lopes +7 more
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Model of the Fractionation Process of Three- and Four-Component Biological Mixtures in the Gravity Field [PDF]
Biuletyn Wojskowej Akademii Technicznej, 2020 The publication describes a simplified method of evaluation of basic parameters of the fractionation process in the gravity field of three- and four-component biological mixtures having physical parame-ters similar to peripheral blood. The description of
Andrzej Górka
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Physical fractionation and cryo-coupe analysis of mormoder humus [PDF]
, 2008 Soil micromorphology plays a key role in the research of the decomposition, storage, and mineralisation of soil organic matter. It is often difficult to study the internal fabrics and stability of soil aggregates, based on soil micromorphological ...
van Mourik, J., Blok, S.
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Fractional physics-informed neural networks for time-fractional phase field models [PDF]
Nonlinear Dynamics, 2021 Abstract In this paper, a new fractional physics-informed neural networks (fPINNs) is proposed, which combines fPINNs with spectral collocation method to solve the time-fractional phase field models. Compared to fPINNs, it has large representation capacity due to the property of spectral collocation method, which reduces the number of ...
Shupeng Wang, Hui Zhang, Xiaoyun Jiang
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fPINNs: Fractional Physics-Informed Neural Networks [PDF]
SIAM Journal on Scientific Computing, 2019 Physics-informed neural networks (PINNs) are effective in solving integer-order partial differential equations (PDEs) based on scattered and noisy data. PINNs employ standard feedforward neural networks (NNs) with the PDEs explicitly encoded into the NN using automatic differentiation, while the sum of the mean-squared PDE-residuals and the mean ...
Guofei Pang +2 more
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Fractional authorship in nuclear physics [PDF]
Scientometrics, 2015 8 pages, 4 ...
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Empirical evidence for the fractionation of carbon isotopes between diamond and iron carbide from the Earth’s mantle [PDF]
, 2014 S.M. would like to thank the Engineering and Physical Sciences Research Council, the Diamond Trading Company, and the Department of Physical Sciences, The Open University (UK) for financial support during his time as a PhD student at University College ...
Krispin, Catherine +16 more
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Revista Brasileira de Ciência do Solo, 2004 Sistemas de manejo conservacionistas aumentam o conteúdo de carbono (C) e nitrogênio (N) orgânico do solo. Todavia, os efeitos sobre as frações leves da matéria orgânica do solo (MOS) ainda são pouco conhecidos, especialmente em ambiente tropical.
E. F. M. Pinheiro +3 more
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Fractional Calculus of Variations in Terms of a Generalized Fractional Integral with Applications to Physics [PDF]
Abstract and Applied Analysis, 2012 We study fractional variational problems in terms of a generalized fractional integral with Lagrangians depending on classical derivatives, generalized fractional integrals and derivatives. We obtain necessary optimality conditions for the basic and isoperimetric problems, as well as natural boundary conditions for free‐boundary value problems.
Odzijewicz, Tatiana +2 more
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