The work distribution is a fundamental quantity in nonequilibrium thermodynamics mainly due to its connection with fluctuation theorems. Here, we develop a semiclassical approximation to the work distribution for a quench process in chaotic systems that provides a link between the quantum and classical work distributions. The approach is based on the dephasing representation of the quantum Loschmidt echo and on the quantum ergodic conjecture, which states that the Wigner function of a typical eigenstate of a classically chaotic Hamiltonian is equidistributed on the energy shell. Using numerical simulations, we show that our semiclassical approximation accurately describes the quantum distribution as the temperature is increased.
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http://dx.doi.org/10.1103/PhysRevE.95.050102 | DOI Listing |
Sci Rep
December 2024
Division of Pulmonary and Critical Care, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095-1690, USA.
Electronic cigarettes (e-cigs) fundamentally differ from tobacco cigarettes in their generation of liquid-based aerosols. Investigating how e-cig aerosols behave when inhaled into the dynamic environment of the lung is important for understanding vaping-related exposure and toxicity. A ventilated artificial lung model was developed to replicate the ventilatory and environmental features of the human lung and study their impact on the characteristics of inhaled e-cig aerosols from simulated vaping scenarios.
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December 2024
Department of Computer Engineering, Marwadi University, Rajkot, 360003, India.
The contributed absorber design in graphene addition with the displacement of three materials for resonator design in Aluminum (Al), the middle substrate position with Titanium nitride (TiN), and the ground layer deposition by Iron (Fe) respectively. For the absorption validation highlight, the best four absorption wavelengths (µm) of 0.29, 0.
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December 2024
Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, 1205, Bangladesh.
Prediction and discovery of new materials with desired properties are at the forefront of quantum science and technology research. A major bottleneck in this field is the computational resources and time complexity related to finding new materials from ab initio calculations. In this work, an effective and robust deep learning-based model is proposed by incorporating persistent homology with graph neural network which offers an accuracy of and an F1 score of in classifying topological versus non-topological materials, outperforming the other state-of-the-art classifier models.
View Article and Find Full Text PDFminimally invasive surgery is the surgery of the present and has become the "gold standard" for the most pathologies. The training of surgeons in minimally invasive techniques is mandatory required to be carried out during the residency program. In Romania, there is no national minimally invasive surgical training program, only universities and certain university hospitals are concerned with this aspect.
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January 2025
European Institute for Molecular Imaging (EIMI), University of Muenster, Muenster, Germany.
The P2X4 receptor (P2X4R), a ligand-gated ion channel activated by ATP, plays a critical role in neuroinflammation, chronic pain, and cancer progression, making it a promising therapeutic target. In this study, we explored the design and synthesis of piperazine-based P2X4R antagonists, building on the structural framework of paroxetine. A series of over 35 compounds were synthesized to investigate structure-activity relationships (SARs) in a Ca²⁺-flux assay for P2X4R antagonistic activity.
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