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Akademický článek
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Autor:
Guo H; School of Polymer Science & Polymer Engineering, The University of Akron, Akron, Ohio, 44325, USA. mtsige@uakron.edu., Tsige M; School of Polymer Science & Polymer Engineering, The University of Akron, Akron, Ohio, 44325, USA. mtsige@uakron.edu.
Publikováno v:
Soft matter [Soft Matter] 2024 Jun 12; Vol. 20 (23), pp. 4648-4650. Date of Electronic Publication: 2024 Jun 12.
Autor:
Dehaghani, Zahra Ahmadian
This study investigates the probability of threading in star catenanes under good solvent conditions using molecular dynamics simulations, emphasizing the influence of ring rigidity. Threading in these systems arises from the interplay between the in
Externí odkaz:
http://arxiv.org/abs/2412.07860
This paper addresses the optimal control of quantum coherence in multi-level systems, modeled by the Lindblad master equation, which captures both unitary evolution and environmental dissipation. We develop an energy minimization framework to control
Externí odkaz:
http://arxiv.org/abs/2411.10840
Akademický článek
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This paper proposes an integrated quantum-classical approach that merges quantum computational dynamics with classical computing methodologies tailored to address control problems based on Pontryagin's minimum principle within a Physics-Informed Neur
Externí odkaz:
http://arxiv.org/abs/2404.15015
Quantum entanglement stands at the forefront of quantum information science, heralding new paradigms in quantum communication, computation, and cryptography. This paper introduces a quantum optimal control approach by focusing on entanglement measure
Externí odkaz:
http://arxiv.org/abs/2403.16321
This paper introduces a Lyapunov-based control approach with homodyne measurement. We study two filtering approaches: (i) the traditional quantum filtering and (ii) a modified version of the extended Kalman filtering. We examine both methods in order
Externí odkaz:
http://arxiv.org/abs/2403.07021
Accurately predicting the temperature field in metal additive manufacturing (AM) processes is critical to preventing overheating, adjusting process parameters, and ensuring process stability. While physics-based computational models offer precision,
Externí odkaz:
http://arxiv.org/abs/2401.02403
Publikováno v:
Fluid Phase Equilibria. 482:126-133
This paper concerns extending applicability of Dehaghani association equation of state (in short DA-EOS) to model non-ideality in phase behavior caused by hydrogen bonding. Advantageously, this equation only needs two and one parameters to treat self