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pro vyhledávání: '"Heinen, P"'
Akademický článek
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Autor:
Marcia S. Batalha, Camila R. Bezerra‐Coelho, Elizabeth M. Pontedeiro, Martinus Th vanGenuchten, Jian Su
Publikováno v:
Vadose Zone Journal, Vol 23, Iss 4, Pp n/a-n/a (2024)
Abstract This comment concerns evaluation of the Mualem–van Genuchten (MvG) unsaturated soil hydraulic functions at very low (negative) pressure heads as described recently in an important study by Heinen. He showed that below some critical pressur
Externí odkaz:
https://doaj.org/article/4903b8fe28914ceaaa412bf33218408d
Autor:
Örnek, Cem, Fechte-Heinen, Rainer
This study investigates hydrogen permeation in titanium aluminium nitride (TiAlN) using ab initio density functional theory (DFT) for cubic and hexagonal crystal structures. Despite the significance of hydrogen barriers, the potential of TiAlN has no
Externí odkaz:
http://arxiv.org/abs/2410.01301
Autor:
Heinen, Philipp
This PhD thesis gives a comprehensive treatment of ab initio lattice Monte Carlo simulations of ultracold Bose gases by means of the complex Langevin algorithm. Since the field-theoretic action of non-relativistic bosons is a complex quantity, the co
Externí odkaz:
http://arxiv.org/abs/2407.16730
Akademický článek
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We study the applicability of the Hammett-inspired product (HIP) Ansatz to model relative substrate binding within homogenous organometallic catalysis, assigning $\sigma$ and $\rho$ to ligands and metals, respectively. Implementing an additive combin
Externí odkaz:
http://arxiv.org/abs/2405.07747
Autor:
Siovitz, Ido, Heinen, Philipp, Rasch, Niklas, Lannig, Stefan, Deller, Yannick, Strobel, Helmut, Oberthaler, Markus, Gasenzer, Thomas
High-performance graphical processing units (GPU) are used for the repeated parallelised propagation of non-linear partial differential equations on large spatio-temporal grids. The main challenge results as a combination of the requirement of large
Externí odkaz:
http://arxiv.org/abs/2310.03636
Publikováno v:
BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Background Systematic reviews (SRs) are used to inform clinical practice guidelines and healthcare decision making by synthesising the results of primary studies. Efficiently retrieving as many relevant SRs as possible is challenging with a
Externí odkaz:
https://doaj.org/article/e70d198f8d58486f9cd4ed453e881769
Autor:
Heinen, Stefan, Khan, Danish, von Rudorff, Guido Falk, Karandashev, Konstantin, Arrieta, Daniel Jose Arismendi, Price, Alastair J. A., Nandi, Surajit, Bhowmik, Arghya, Hermansson, Kersti, von Lilienfeld, O. Anatole
For many machine learning applications in science, data acquisition, not training, is the bottleneck even when avoiding experiments and relying on computation and simulation. Correspondingly, and in order to reduce cost and carbon footprint, training
Externí odkaz:
http://arxiv.org/abs/2308.11196
We present an automated data-collection pipeline involving a convolutional neural network and a large language model to extract user-specified tabular data from peer-reviewed literature. The pipeline is applied to 74 reports published between 1957 an
Externí odkaz:
http://arxiv.org/abs/2308.00389