Using global reanalysis data to quantify and correct airflow distortion bias in shipborne wind speed measurements

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This study evaluates available analytical wake models for flow prediction inside and downstream of wind farms of different sizes and layouts using large-eddy simulation (LES), and introduces an enhanced analytical framework. All the tested analytical wake ...

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Using global reanalysis data to quantify and correct airflow distortion bias in shipborne wind speed measurements

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Reducing uncertainties in response predictions of earthquake-damaged masonry buildings using data from image-based inspection

Dataset for '3D printing of customizable transient bioelectronics and sensors'

Seeking the new, learning from the unexpected: Computational models of surprise and novelty in the brain

Data set for control of Ge island coalescence for the formation of nanowires on silicon

An improved analytical framework for flow prediction inside and downstream of wind farms

Hybrid Simulator for Capturing Dynamics of Synthetic Populations

Good enough: Intermediate complexity atmospheric models improve the representation of processes affecting seasonal snow

Data-driven statistical optimization of a groundwater monitoring network

Seismic Testing of Adjacent Interacting Masonry Structures – Analysis of a Blind Prediction

Dataset for "Complexity of crack front geometry enhances toughness of brittle solids"