Zobrazeno 1 - 10
of 3 194
pro vyhledávání: '"Mousavi, S. A. A."'
In this work, we develop a novel neural operator, the Solute Transport Operator Network (STONet), to efficiently model contaminant transport in micro-cracked reservoirs. The model combines different networks to encode heterogeneous properties effecti
Externí odkaz:
http://arxiv.org/abs/2412.05576
Autor:
Mousavi, S. V., Miret-Artés, S.
Publikováno v:
Eur. Phys. J. Plus 139, 926 (2024)
Within the so-called scaled quantum theory, the standard bouncing ball problem is analyzed under the presence of a gravitational field and harmonic potential. In this framework, the quantum-classical transition of the density matrix is described by t
Externí odkaz:
http://arxiv.org/abs/2410.10351
Recently, the phase field method has been increasingly used for brittle fractures in soft materials like polymers, elastomers, and biological tissues. When considering finite deformations to account for the highly deformable nature of soft materials,
Externí odkaz:
http://arxiv.org/abs/2408.05162
Autor:
Mousavi, S. M. Hossein, Besenzoni, Matteo, Andreoletti, Davide, Peternier, Achille, Giordano, Silvia
Affective computing has recently gained popularity, especially in the field of human-computer interaction systems, where effectively evoking and detecting emotions is of paramount importance to enhance users experience. However, several issues are hi
Externí odkaz:
http://arxiv.org/abs/2407.09110
The bottleneck of alloy design for powder-based additive manufacturing (AM) resides in powder production-an expensive and time-consuming process hindering the rapid closed-loop design iterations. This study analyzed an expedited experimental workflow
Externí odkaz:
http://arxiv.org/abs/2407.06138
Autor:
Taheri-Mousavi, S. Mohadeseh, Xu, Michael, Hengsbach, Florian, Houser, Clay, Ge, Zhaoxuan, Glaser, Benjamin, Wei, Shaolou, Schaper, Mikro, LeBeau, James M., Olson, Greg B., Hart, A. John
Additively manufactured (AM) structural components with complex geometries and tailored properties at voxel-size resolution will lead to significant leap in performance in various critical engineering applications. However, at each voxel, we first ne
Externí odkaz:
http://arxiv.org/abs/2406.17457
Autor:
Mousavi, S. Mostafa, Stogaitis, Marc, Gadh, Tajinder, Allen, Richard M, Barski, Alexei, Bosch, Robert, Robertson, Patrick, Thiruverahan, Nivetha, Cho, Youngmin, Raj, Aman
This paper presents a novel approach to extract scientifically valuable information about Earth's physical phenomena from unconventional sources, such as multi-modal social media posts. Employing a state-of-the-art large language model (LLM), Gemini
Externí odkaz:
http://arxiv.org/abs/2405.18732
Autor:
Mousavi, S. V.
Taking a system of two coupled qubits described by a X-shaped state and interacting through an anisotropic Heisenberg XY interaction, we examine the evolution of quantum entanglement and a few quantum correlations beyond entanglement, local quantum u
Externí odkaz:
http://arxiv.org/abs/2402.04086
Autor:
Mousavi, S. V., Miret-Artés, S.
Publikováno v:
Eur. Phys. J. Plus 139, 869 (2024)
In this work, we consider different theoretical aspects and simple applications of the Milburn equation which is governed by a parameter controlling what is known as intrinsic decoherence. The main goal is to show some similarities also observed when
Externí odkaz:
http://arxiv.org/abs/2401.09391
Autor:
Sobek, Joseph, Inojosa, Jose R. Medina, Inojosa, Betsy J. Medina, Rassoulinejad-Mousavi, S. M., Conte, Gian Marco, Lopez-Jimenez, Francisco, Erickson, Bradley J.
Artificial intelligence-enhanced identification of organs, lesions, and other structures in medical imaging is typically done using convolutional neural networks (CNNs) designed to make voxel-accurate segmentations of the region of interest. However,
Externí odkaz:
http://arxiv.org/abs/2312.07729