Real-time time-dependent density functional theory, in conjunction with the Ehrenfest molecular dynamics scheme, is becoming a popular methodology to investigate ultrafast phenomena on the nanoscale. Thanks to recent developments, it is also possible to explicitly include in the simulations a time-dependent laser pulse, thereby accessing the transient excitation regime. However, the complexity entailed in these calculations calls for in-depth analysis of the accessible and yet approximate (either "dressed" or "bare") quantities in order to evaluate their ability to provide us with a realistic picture of the simulated processes. In this work, we analyze the ultrafast dynamics of three small molecules (ethylene, benzene, and thiophene) excited by a resonant laser pulse in the framework of the adiabatic local-density approximation. The electronic response to the laser perturbation in terms of induced dipole moment and excited-state population is compared to the results given by an exactly solvable two-level model. In this way, we can interpret the charge-carrier dynamics in terms of simple estimators, such as the number of excited electrons. From the computed transient absorption spectra, we unravel the appearance of nonlinear effects such as excited-state absorption and vibronic coupling. In this way, we observe that the laser excitation affects the vibrational spectrum by enhancing the anharmonicities therein, while the coherent vibrational motion contributes to stabilizing the electronic excitation already within a few tens of femtoseconds.
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http://dx.doi.org/10.1063/5.0008194 | DOI Listing |
Micromachines (Basel)
December 2024
School of Microelectronics, Xidian University, Xi'an 710071, China.
The failure of different chips under working conditions is influenced by various stress states such as different voltages, temperatures, stress durations, and stress variations. Therefore, the failure time has a great degree of dispersion, and similar chips may exhibit different failure mechanisms due to variations in their working environments. This paper proposes three system-on-chip reliability failure prediction unit circuits: the time-dependent dielectric breakdown prediction circuit, the negative bias temperature instability prediction circuit, and the hot carrier injection prediction circuit.
View Article and Find Full Text PDFJ Ultrason
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Department of General and Pediatric Radiology, Wrocław Medical University, Wrocław, Poland.
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View Article and Find Full Text PDFWorld J Oncol
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Department of Cell Biology and Genetics, Qiqihar Medical University, Qiqihar, Heilongjiang, China.
Background: Uncoupling protein 2 (UCP2) is essential for maintaining redox homeostasis and regulating energy metabolism. Abnormal expression of UCP2 has been associated with various tumors, including leukemia. Genipin (GEN), a specific inhibitor of UCP2, has a long history of use in traditional Chinese medicine.
View Article and Find Full Text PDFJ Chem Theory Comput
January 2025
Department of Physics, North Carolina State University, Raleigh, North Carolina 27695-8202, United States.
We present the theory, implementation, and benchmarking of a real-time time-dependent density functional theory (RT-TDDFT) module within the RMG code, designed to simulate the electronic response of molecular systems to external perturbations. Our method offers insights into nonequilibrium dynamics and excited states across a diverse range of systems, from small organic molecules to large metallic nanoparticles. Benchmarking results demonstrate excellent agreement with established TDDFT implementations and showcase the superior stability of our time integration algorithm, enabling long-term simulations with minimal energy drift.
View Article and Find Full Text PDFFront Med (Lausanne)
January 2025
Department of Radiation Oncology, Weifang People's Hospital, Weifang, China.
Background: Conditional survival (CS) analysis can estimate further survival probabilities based on the time already survived, providing dynamic updates for prognostic information. This study aimed to develop a CS-nomogram to promote individualized disease management for stage III non-small cell lung cancer (NSCLC).
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