Results 181 to 190 of about 418,224 (320)

Machine learning based algorithms for uncertainty quantification in numerical weather prediction models

Journal of Computer Science, 2021
A. Moosavi, Vishwas Rao, Adrian Sandu
semanticscholar   +1 more source

Temporally Reconfigurable Reservoir Computing with Flexible Electrolyte‐Gated TFTs for High‐Performance Neuromorphic Processing

Advanced Materials, EarlyView.
A temporally reconfigurable reservoir computing system is developed using ultrathin, flexible, all‐solid‐state electrolyte‐gated thin‐film transistors (UFLEX TFTs). By simply tuning temporal dynamics electrically, the system achieves 93.7% accuracy for MNIST handwritten digits, 90.3% for CIFAR‐10 images, and 81.8% for chest X‐rays, surpassing CNNs in ...
Kang Hyun Lee, Seohak Park, Mingu Kang, Jungyeop Oh, Wonbae Ahn, Hyeonji Lee, Seungsun Yoo, Hyunmin Kim, Min Kyu Lee, Sung‐Yool Choi   +9 more
wiley   +1 more source

Existence of multiple scales in uncertainty of numerical weather prediction. [PDF]

Sci Rep, 2019
Song HJ.
europepmc   +1 more source

<i>H</i>_∞ Filtering for Bias Correction in Post-Processing of Numerical Weather Prediction

, 2019
Jaechan Lim, Hyung‐Min Park
openalex   +2 more sources

Probiotic‐Based Materials as Living Therapeutics

Advanced Materials, EarlyView.
Recent advances in Engineered Living Materials are highlighted, integrating synthetic biology and advanced materials, with a focus on probiotic‐based therapeutics. Probiotic Living Materials hold great potential for biosensing, infection treatment, osteogenesis, wound healing, vaginal and gastrointestinal disorders, and cancer therapy. breakthroughs in
Laura Sabio, Graham J. Day, Manuel Salmeron‐Sanchez   +2 more
wiley   +1 more source

Synthesizer: Chemistry‐Aware Machine Learning for Precision Control of Nanocrystal Growth

Advanced Materials, EarlyView.
A new, data‐efficient approach to CsPbBr3 nanocrystal optimization combines chemical and physical insights with a Gaussian Process‐based machine learning algorithm. Implementation of the “Synthesizer” enables nm‐precise tuning of the emission wavelength while reducing experimental load in optimizing peak narrowness and photoluminescence quantum yield ...
Nina A. Henke, Leo Luber, Ioannis Kouroudis, Jonathan Paul, Alexander Schuhbeck, Lukas M. Rescher, Tizian Lorenzen, Veronika Mayer, Knut Müller‐Caspary, Bert Nickel, Alessio Gagliardi, Alexander S. Urban   +11 more
wiley   +1 more source

An Assessment of the Impact of Aeolus Doppler Wind Lidar Observations for Use in Numerical Weather Prediction at ECMWF

, 2020
Michael Rennie, Lars Isaksen
openalex   +1 more source

A NEW APPROACH TO DATA ASSIMILATION FOR NUMERICAL WEATHER FORECASTING AND CLIMATE PREDICTION

, 2022
Wansuo Duan, Rong Feng, Lichao Yang, Lin Jiang   +3 more
openalex   +1 more source

Assimilation of FY-3D and FY-3E Hyperspectral Infrared Atmospheric Sounding Observation and Its Impact on Numerical Weather Prediction during Spring Season over the Continental United States [PDF]

, 2023
Qi Zhang, Min Shao
openalex   +1 more source

Advancing the Frontiers of HfO2‐Based Ferroelectric Memories: Innovative Concepts from Materials to Applications

Advanced Materials, EarlyView.
HfO2‐based ferroelectric materials are promising for next‐generation memory technologies by providing outstanding performance aligning with data‐centric computing needs. This review details recent advancements in materials, devices, and integration for HfO2‐based memories, with the goal of identifying both the technological opportunities and remaining ...
Zuopu Zhou, Lingqi Li, Yang Feng, Xiaolin Wang, Zijie Zheng, Leming Jiao, Haofei Zheng, Yufei Shi, Kah‐Wee Ang, Xiao Gong   +9 more
wiley   +1 more source