Results 41 to 50 of about 4,264 (168)

Effect of t_2g-Correlations and Doping in CrSBr Ferromagnetic Semiconductor

Condensed Matter
We perform a comprehensive analysis of the correlated electronic structure reconstruction of the ferromagnetic CrSBr van der Waals (vdW) bulk crystal. Using generalized gradient approximation combined with dynamical mean-field theory, we show the minor ...
Luis Craco, Sabrina Silva Carara
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EWS Time Delay in Low Energy e−C₆₀ Elastic Scattering

Atoms
Access to time delay in a projectile-target scattering is a fundamental tool in understanding their interactions by probing the temporal domain. The present study focuses on computing and analyzing the Eisenbud-Wigner-Smith (EWS) time delay in low energy
Aiswarya R., Rasheed Shaik, Jobin Jose, Hari R. Varma, Himadri S. Chakraborty   +4 more
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A High-Order Fractional Parallel Scheme for Efficient Eigenvalue Computation

Fractal and Fractional
Eigenvalue problems play a fundamental role in many scientific and engineering disciplines, including structural mechanics, quantum physics, and control theory.
Mudassir Shams, Bruno Carpentieri
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A Study of the Eigenfunctions of the Singular Sturm–Liouville Problem Using the Analytical Method and the Decomposition Technique

Mathematics, 2020
The history of boundary value problems for differential equations starts with the well-known studies of D. Bernoulli, J. D’Alambert, C. Sturm, J. Liouville, L. Euler, G. Birkhoff and V. Steklov.
Oktay Sh. Mukhtarov, Merve Yücel
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Machine Learning Electron Density Prediction Using Weighted Smooth Overlap of Atomic Positions

Nanomaterials, 2023
Having access to accurate electron densities in chemical systems, especially for dynamical systems involving chemical reactions, ion transport, and other charge transfer processes, is crucial for numerous applications in materials chemistry.
Siddarth K. Achar, Leonardo Bernasconi, J. Karl Johnson   +2 more
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Physics-Informed Neural Networks: A Review of Methodological Evolution, Theoretical Foundations, and Interdisciplinary Frontiers Toward Next-Generation Scientific Computing

Applied Sciences
Physics-informed neural networks (PINNs) have emerged as a transformative methodology integrating deep learning with scientific computing. This review establishes a three-dimensional analytical framework to systematically decode PINNs’ development ...
Zhiyuan Ren, Shijie Zhou, Dong Liu, Qihe Liu   +3 more
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Coinductive Formal Reasoning in Exact Real Arithmetic [PDF]

Logical Methods in Computer Science, 2008
In this article we present a method for formally proving the correctness of the lazy algorithms for computing homographic and quadratic transformations -- of which field operations are special cases-- on a representation of real numbers by coinductive ...
Milad Niqui
doaj   +1 more source

Semantic Computing for Organizational Effectiveness: From Organization Theory to Practice through Semantics-Based Modelling

2024 IEEE 18th International Conference on Semantic Computing (ICSC)
A critical function of an organization is to foster the level of integration (coordination and cooperation) necessary to achieve its objectives. The need to coordinate and motivation to cooperate emerges from the myriad dependencies between an organization's members and their work.
Mena Rizk, Daniela Rosu 0002, Mark S. Fox   +2 more
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Notes on Modified Planar Kelvin–Stuart Models: Simulations, Applications, Probabilistic Control on the Perturbations

Axioms
In this paper, we propose a new modified planar Kelvin–Stuart model. We demonstrate some modules for investigating the dynamics of the proposed model.
Nikolay Kyurkchiev, Tsvetelin Zaevski, Anton Iliev, Vesselin Kyurkchiev, Asen Rahnev   +4 more
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Some fundamental algebraic tools for the semantics of computation: II. Signed and abstract theories

Theor. Comput. Sci., 1984
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Joseph A. Goguen, Rod M. Burstall
openaire   +3 more sources