A5077580494- Climate variability and models
- Thin-Film Transistor Technologies
- Meteorological Phenomena and Simulations
- Organic Electronics and Photovoltaics
- Semiconductor materials and devices
- Cryospheric studies and observations
- Conducting polymers and applications
- Nanowire Synthesis and Applications
- Hydrological Forecasting Using AI
- Educational and Technological Research
- Semiconductor materials and interfaces
- Hydrology and Drought Analysis
- Organic Light-Emitting Diodes Research
- Silicon and Solar Cell Technologies
- Tropical and Extratropical Cyclones Research
- Traffic Prediction and Management Techniques
- Nanomaterials and Printing Technologies
- Climate change and permafrost
Nvidia (United States)
2024
University of California, Irvine
2024
University of Colorado Colorado Springs
2024
NOAA National Weather Service
2024
National Cheng Kung University
2013-2016
National Yang Ming Chiao Tung University
2008-2009
Abstract Predictions of weather hazard require expensive km-scale simulations driven by coarser global inputs. Here, a cost-effective stochastic downscaling model is trained from high-resolution 2-km over Taiwan conditioned on 25-km ERA5 reanalysis. To address the multi-scale machine learning challenges data, we employ two-step approach Corrector Diffusion ( CorrDiff ), where UNet prediction mean corrected diffusion step. Akin to Reynolds decomposition in fluid dynamics, this isolates...
The novel gate-all-around (GAA) poly-Si thin-film transistors (TFTs) with multiple nanowire channels (MNCs) have been, for the first time, fabricated using a simple process to demonstrate high-performance electrical characteristics and high immunity short-channel effects (SCEs). channel body-thickness-to-width ratio (T <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Fin</sub> /W ), which is approximately equal one, was realized only...
Predictions of weather hazard require expensive km-scale simulations driven by coarser global inputs. Here, a cost-effective stochastic downscaling model is trained from high-resolution 2-km over Taiwan conditioned on 25-km ERA5 reanalysis. To address the multi-scale machine learning challenges data, we employ two-step approach Corrector Diffusion (\textit{CorrDiff}), where UNet prediction mean corrected diffusion step. Akin to Reynolds decomposition in fluid dynamics, this isolates...
We have fabricated poly(3-hexylthiophene) organic field-effect transistors (P3HT-OFETs) with either high-temperature (200 °C) thermally cured PVP gate dielectrics or low-temperature (120 photo-cured dielectrics. prepared the dielectric layer from a blend of poly(4-vinylphenol) (PVP) and poly(melamine-co-formaldehyde) (PMF); formulation contained an additional photo-acid generator (PAG), which allowed temperature for cross-linking reaction to be reduced. examined intrinsic properties (e.g.,...
A singular-value-decomposition (SVD) statistical downscaling technique was developed for monthly rainfall over southern Taiwan.The model applied to seven different general circulation models.Seven geographical domains the large-scale atmospheric predictors were tested and their effects on projections evaluated.Because climate models indicate future projections, a multi-model ensemble approach provide best guess estimates.Using ensemble, range of metrics, it found that predictor had little...
Typhoon Morakot hit southern Taiwan in 2009, bringing 48-hr of heavy rainfall [close to the Probable Maximum Precipitation (PMP)] Tsengwen Reservoir catchment.This extreme event resulted from combined (co-movement) effect two climate systems (i.e., typhoon and southwesterly air flow).Based on traditional PMP estimation method storm transposition method, STM), approaches, i.e., Amplification Index (AI) Independent System (IS) which consider are proposed this work.The AI approach assumes that...
<title>Abstract</title> Recently, the development of artificial intelligence (AI) has led to fruition machine-learning (ML) based weather prediction (MLWP) systems. Five global models have emerged as notable contenders: Pangu-Weather, FourCastNet v2 (FCN2), GraphCast, FuXi, and FengWu. Despite utilizing different AI/ML methodologies, all five systems rely on ECMWF Reanalysis v5 (ERA5), their training dataset. This study evaluates performance these in Eastern Asia region from June November...
This work studies the NH3 plasma passivation on a novel gate-all-around poly-Si TFTs with multiple nanowire channels (GAA-MNC TFTs). The can effectively passivate defects in channel and improve electrical performance of TFTs. As comparison to conventional TFTs, GAA-MNC exhibit outstanding three-dimensional gate controllability excellent characteristics, which revealed high ON/OFF current ratio (>108), low threshold voltage, steep subthreshold swing, near-free drain-induced barrier...
Abstract not Available.