Publications by authors named "I Ulusoy"

Background: If brain effective connectivity network modelling (ECN) could be accurately achieved, early diagnosis of neurodegenerative diseases would be possible. It has been observed in the literature that Dynamic Bayesian Network (DBN) based methods are more successful than others. However, DBNs have not been applied easily and tested much due to computational complexity problems in structure learning.

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Polaritonic states, which are formed by resonances between a molecular excitation and the photonic mode of a cavity, have a number of useful properties that offer new routes to control molecular photochemistry using electric fields. To provide a theoretical description of how polaritonic states affect the real-time electron dynamics in molecules, a new method is described where the effects of strong light-molecule coupling are implemented using real-time electronic structure theory. The coupling between the molecular electronic states and the cavity is described by the Pauli-Fierz Hamiltonian, and transitions between polaritonic states are induced via an external time-dependent electric field using time-dependent configuration interaction (TDCI) theory, producing quantum electrodynamics TDCI (QED-TDCI).

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Article Synopsis
  • Vibrational spectroscopy provides valuable information about molecular structure and dynamics, but traditional theoretical methods often fail for large molecules with complex bonds.
  • This study evaluates the effectiveness of density functional theory (DFT) and the correlation consistent Composite Approach (ccCA) in generating more accurate anharmonic vibrational frequencies for small molecules.
  • A multilevel approach using DFT for single mode potentials and ccCA for mode-mode couplings achieves better results than standard harmonic approximations, producing frequencies that closely match experimental data.
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Background and objective The field of artificial intelligence (AI) is advancing at a rapid pace, impacting all aspects of human life. Chat Generative Pre-trained Transformer (ChatGPT), which represents one of AI's most recent and remarkable achievements, has garnered significant attention and popularity in the academic community. ChatGPT, a language model-based chatbot developed by OpenAI, responds quickly and provides answers to the questions put to it.

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Objective: Avascular necrosis of the femoral head is a disease usually seen in middle-aged individuals. Although many aetiological factors have been blamed, there are still aetiological factors that have not been fully elucidated. Although treatment options show a wide range, early and appropriate treatment is of great importance to preserve the hip joint.

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