Korea Advanced Institute of Science and Technology · Engineering
Professor Tiantian Chen's research lab specializes in advanced thermal management and biomedical ultrasound technologies. The lab focuses on developing nanofluids and innovative cooling systems for high-performance electronics, particularly optimizing heat transfer in CPU cooling using TiO2-water nanofluids. In parallel, the lab pioneers novel ultrasound transmission techniques for transcranial applications by designing flexible, gradient acoustic impedance matching layers to enhance ultrasound penetration through the skull. These interdisciplinary efforts bridge materials science, fluid dynamics, and biomedical engineering to address critical challenges in energy efficiency and noninvasive medical diagnostics and therapy.
Figures are computed from collected data and may differ slightly.
The relationships between trade-off and synergy in ecosystem services (ESs) is essential for eco-environmental management and restoration in Karst regions, and many researchers have focused heavily on this. However, to date, and to the best of our knowledge, we still lack an adequate understanding of the driving factors of relationship changes and the optimization of the spatial pattern of ESs in this region. In this study, a Bayesian belief network (BBN) model was developed to link three major
Membrane distillation has seen a growing amount of industrial interest due to its low operating pressure, minimal temperature requirements, and high salt rejection. This body of work involves the fabrication of a microporous nanocomposite membrane with enhanced hydrophobicity for use in a direct contact membrane distillation (DCMD) process. Reduced graphene oxide/poly(vinylidene fluoride-co-hexafluoropropylene) (rGO/PVDF-HFP) flatsheet membranes were prepared via a facile electrospinning techniq
Previous studies have confirmed the time-lagged and cumulative effects of drought and anthropogenic activities on vegetation growth, but these studies focus on the time-lagged effect of drought and are poorly known how vegetation productivity responds to anthropogenic activities. Here, based on the reconstructed Normalized Difference Vegetation Index, the Standardized Precipitation Evapotranspiration Index and land use degree comprehensive index, we diagnosed the spatiotemporal pattern of vegeta
Data availability: The datasets generated and/or analyzed during the current study are available from the corresponding author upon reasonable request.
To improve CPU cooling performance, TiO2-water nanofluids with volume concentration 9% were used as the cooling mediumin. Nanofluids inlet and outlet positions play a crucial influence on the cooling performance, to further optimize the cooling property, the influence of nanofluids inlet and outlet positions (top and two side) on CPU cooling performance was numerically and experimentally studied by a two-phase lattice Boltzmann model and an experimental method respectively. The numerical simulat
Abstract In light of the recent pressure from global warming, extreme drought events, and deleterious human activity, the strength and long‐term change trends of vegetation in karst regions—in terms of their resistance to external disturbances—have not been studied systematically. Therefore, herein, we quantified the vegetation resilience and its nonlinear change trends in south China karst under different environmental gradients by measuring the lag‐1 autocorrelation to time‐series Normalized D
Abstract It has been projected that climatic warming will contribute to vegetation productivity variability at the global scale. With a continued warming, to what extent and where the vegetation productivity is most affected by warming has still not been adequately quantified. Herein, based on 11 earth system model outputs, we predict the characteristics of vegetation‐temperature sensitivity ( S vpt , defined as higher/lower temperature produce more/less vegetation) changes under different CO 2
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