Results 71 to 80 of about 690,215 (327)

Consolidate Overview of Ribonucleic Acid Molecular Dynamics: From Molecular Movements to Material Innovations

Advanced Engineering Materials, EarlyView.
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley   +1 more source

The importance of ensemble techniques for operational space weather forecasting [PDF]

Space Weather, 16, 777-783 (2018), 2018
The space weather community has begun to use frontier methods such as data assimilation, machine learning, and ensemble modeling to advance current operational forecasting efforts. This was highlighted by a multi-disciplinary session at the 2017 American Geophysical Union Meeting, 'Frontier Solar-Terrestrial Science Enabled by the Combination of Data ...
arxiv   +1 more source

Scientific challenges of convective-scale numerical weather prediction [PDF]

, 2018
Numerical weather prediction (NWP) models are increasing in resolution and becoming capable of explicitly representing individual convective storms. Is this increase in resolution leading to better forecasts?
Alberto Carrassi, Anderson, Andrzej A. Wyszogrodzki, Anna Deluca, Bauer, Berger, Berner, Bocquet, Carrassi, Ching, Chustagulprom, Crisan, de Meutter, de Rooy, Doucet, Dubal, Evensen, Fritsch, Fritsch, Gerard, Hoheneger, Huuskonen, Jaynes, Jazwinski, Jeanette Onvlee, Jun-Ichi Yano, Kain, Kalnay, Lauritzen, Leith, Leith, Lindborg, Lisa Bengtsson, Lorenc, Lorenz, Martin Köhler, Mass, Mass, Michał Z. Ziemiański, Mike Cullen, Moncrieff, Nastrom, Palmer, Pavliotis, Pedro M. M. Soares, Phillips, Phillips, Piet Termonia, Piotrowski, Plant, Poterjoy, Pruppacher, Quinn, Richard Davy, Rotunno, Schwartz, Silas Michaelides, Simon Krichak, Slivinski, Smolarkiewicz, Snyder, Staniforth, Stein, Stensrud, Sun, Sun, Suzanne L. Gray, Talagrand, Temam, Tennekes, Termonia, Thorpe, Uboldi, van Lier-Walqui, Vaughan T. J. Phillips, Víctor Homar, Yano, Yano, Yano, Yano, Yano, Yano, Yano, Zilitinkevich   +83 more
core   +3 more sources

Enhanced Fog Water Harvesting on Superhydrophobic Steel Meshes

Advanced Engineering Materials, EarlyView.
Fog harvesting using mesh designs offers a sustainable solution to water scarcity. This study highlights key considerations for fog harvesting research and develops a methodology for a standardized protocol reflecting fog characteristics and environmental conditions.
Pegah Sartipizadeh, Mohammad Reza Mohammadizadeh, Carlo Antonini, Raziyeh Akbari   +3 more
wiley   +1 more source

Uncertainty quantification for data-driven weather models [PDF]

Artificial intelligence (AI)-based data-driven weather forecasting models have experienced rapid progress over the last years. Recent studies, with models trained on reanalysis data, achieve impressive results and demonstrate substantial improvements over state-of-the-art physics-based numerical weather prediction models across a range of variables and
arxiv   +1 more source

On the potential use of radar-derived information in operational numerical weather prediction [PDF]

, 1986
Estimates of requirements likely to be levied on a new observing system for mesoscale meteonology are given. Potential observing systems for mesoscale numerical weather prediction are discussed.
Mcpherson, R. D.
core   +1 more source

Low‐Activation Compositionally Complex Alloys for Advanced Nuclear Applications—A Review

Advanced Engineering Materials, EarlyView.
Low‐activation compositionally complex alloys (LACCAs) are advanced metallic materials primarily composed of low‐activation elements, offering advantages such as rapid compliance with operational standards and safe recyclability. This review highlights their potential for extreme high‐temperature irradiation environments as structural materials for ...
Yangfan Wang, Hanliang Zhu, Zhiyang Wang, Zhijun Qiu, Xiao Wang, Zengxi Pan, Hongtao Zhu, Mingxing Zhang, Huijun Li   +8 more
wiley   +1 more source

Numerical study of the urban geometrical representation impact in a surface energy budget model [PDF]

, 2015
The aim of this work is to investigate how both the orientation of the urban canyon and the modeling of the edge effects (i.e. urban canyons of finite length) are important in the numerical simulation of the surface energy budget in urban areas. Starting
CANTELLI, ANTONIO, LEUZZI, Giovanni, MONTI, Paolo   +2 more
core   +1 more source

Hybrid Framework Materials: Next‐Generation Engineering Materials

Advanced Engineering Materials, Volume 27, Issue 9, May 2025.
Hybrid organic–inorganic materials merge the unique properties of organic and inorganic compounds, enabling applications in optoelectronics, gas storage, and catalysis. This review explores metal‐organic frameworks, hybrid organic–inorganic perovskites, and the emerging field of hybrid glasses, emphasizing their structures, functionalities, and ...
Jay McCarron, Bethan Turner, Lauren N. McHugh   +2 more
wiley   +1 more source

Ensemble methods for neural network-based weather forecasts [PDF]

arXiv, 2020
Ensemble weather forecasts enable a measure of uncertainty to be attached to each forecast, by computing the ensemble's spread. However, generating an ensemble with a good spread-error relationship is far from trivial, and a wide range of approaches to achieve this have been explored -- chiefly in the context of numerical weather prediction models ...
arxiv