Validity of the quantum circuit learning (QCL) method for the prediction of physical properties of complex materials has been explored by comparing the prediction results of Vickers hardness of the high entropy alloys with those predicted by the conv... read more
The metaverse refers to a digital environment that enables real-time user interaction through immersive technologies. Recent advancements in deep learning have particularly strengthened the capabilities of Natural Language Processing (NLP) and Large ... read more
In high-noise environments such as factories, subways, and busy streets, capturing clear speech is challenging. Throat microphones can offer a solution because of their inherent noise-suppression capabilities; however, the passage of sound waves thro... read more
Leigh syndrome (Leigh) is an untreatable mitochondrial disorder characterized by lactic acidosis and basal ganglia and midbrain pathology, leading to psychomotor regression and early death. We previously uncovered impaired neuronal morphogenesis in L... read more
Machine learning (ML) is shaping our exploration of topological matter, whose existence is inherently tied to the geometry of quantum states or energy spectra. In non-Hermitian systems, distinctive spectral geometry can lead to topological braiding o... read more
Deep brain stimulation (DBS) of the subthalamic nucleus (STN) alleviates motor symptoms in Parkinson's disease (PD), but how it modulates whole-brain dynamics to drive therapeutic effects remains unclear. We hypothesized that STN-DBS restores signatu... read more
Understanding and accurately modeling combustion processes of complex fuels remain challenging. In this study, we constructed a reactive machine learning potential function (MLP) for the C2H4-O2 system to investigate the corresponding combustion beha... read more
Algal volatile organic compounds (AVOCs) act as real-time metabolic signals that enable accurate bloom prediction in single-species systems. However, interspecies interactions reshape algal growth dynamics across bloom stages, and evaluating how AVOC... read more
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