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Nuclear Physics in the Era of Quantum Computing andQuantum Machine Learning
(Wiley, 2024-05)
In this paper, the application of quantum simulations and quantum machine learning is explored to solve problems in low-energy nuclear physics. The use of quantum computing to address nuclear physics problems is still in ...
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Determining B(E1) distributions of weakly bound nuclei from breakup cross sections using Continuum Discretized Coupled Channels calculations. Application to 11Be
(Elsevier, 2020)
A novel method to extract the B(E1) strength of a weakly bound nucleus from experimental Coulomb dissociation data is proposed. The method makes use of continuum discretized coupled channels (CDCC) calculations, in which ...
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Self-Motility of an Active Particle Induced by Correlations in the Surrounding Solution
(American Physical Society, 2020)
Current models of phoretic transport rely on molecular forces creating a “diffuse” particle-fluid interface. We investigate theoretically an alternative mechanism, in which a diffuse interface emerges solely due to a ...
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Plasmas and Acoustic Waves to Pattern the Nanostructure and Chemistry of Thin Films
(Acta Materialia Inc, 2023)
In this work, piezoelectric AWs and plasmas have been brought together during the growth of a thin film as a novel methodology of plasma-assisted thin film structuration. The ensuing effects have been investigated on a ...