Results 61 to 70 of about 75,598 (254)

Load Distributing Metamaterials Via Discrete Optimization

Advanced Functional Materials, EarlyView.
Mechanical metamaterials are computationally optimized to homogenize transmitted forces by minimizing the spread of reaction forces. The resulting architectures transform localized loading into broader, more uniform force distributions and experimentally demonstrate robust load spreading under quasi‐static and impact loading.
Andrea Detry, Hannes Holey, Raja Zulkarnain, Roberto Guerra, Ilaria Papa, Michael Zaiser, Stefano Zapperi   +6 more
wiley   +1 more source

A model for mesoscale patterns in motile populations [PDF]

, 2010
Experimental observations of cell migration often describe the presence of mesoscale patterns within motile cell populations. These patterns can take the form of cells moving as aggregates or in chain-like formation.
Simpson, Matthew, Hughes, Barry, Fernando, Anthony, Landman, Kerry A.   +3 more
core   +1 more source

Introducing uncertainty of radar-rainfall estimates to the verification of mesoscale model precipitation forecasts [PDF]

, 2008
International audienceA simple measure of the uncertainty associated with using radar-derived rainfall estimates as "truth" has been introduced to the Numerical Weather Prediction (NWP) verification process to assess the effect on forecast skill and ...
Mittermaier, M. P.
core   +2 more sources

Advancing Convective Precipitation Nowcasting via 3D Polarimetric Radar Data and Physics‐Constrained Deep Learning Model

Geophysical Research Letters
Accurate nowcasting of severe convective precipitation is critical for early warning yet still remains challenging. Although deep learning methods show promise, most models lack physical constraints, limiting their consistency with atmospheric processes.
Xiang Pan, Yinghui Lu, Hao Huang, Gang Chen, Ang Zhou, Kun Zhao   +5 more
doaj   +1 more source

Convolutional Neural Network‐Based Adaptive Localization for an Ensemble Kalman Filter

Journal of Advances in Modeling Earth Systems, 2023
Flow‐dependent background error covariances estimated from short‐term ensemble forecasts suffer from sampling errors due to limited ensemble sizes. Covariance localization is often used to mitigate the sampling errors, especially for high dimensional ...
Zhongrui Wang, Lili Lei, Jeffrey L. Anderson, Zhe‐Min Tan, Yi Zhang   +4 more
doaj   +1 more source

Kinetics‐Controlled Architecture of Binder‐Free Organic Electrodes for Enhanced Ion Transport

Advanced Functional Materials, EarlyView.
Pulse reverse electrodeposition controls nucleation and growth to create hierarchically porous Py‐derived oligomeric electrodes with enhanced ionic accessibility and reduced transport resistance. The resulting binder‐free architectures translate these transport advantages into practical sodium‐storage functionality.
Satendra Kumar, María del Carmen Giménez‐López   +1 more
wiley   +1 more source

Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery

Advanced Functional Materials, EarlyView.
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang, Qian Wang, Seong‐Hoon Jang, Hao Li   +3 more
wiley   +1 more source

Modification of inertial oscillations by the mesoscale eddy field [PDF]

, 2010
The modification of near-surface near-inertial oscillations (NIOs) by the geostrophic vorticity is studied globally from an observational standpoint. Surface drifter are used to estimate NIO characteristics.
Germán Prieto, Rick Lumpkin, Prieto, German A., Elipot, Shane, Prieto, Germán, Shane Elipot, Lumpkin, Rick   +6 more
core   +1 more source

Spatially Regulated Silicon Clusters in Trimodal Composite Anodes for High‐Energy Lithium‐Ion Batteries

Advanced Functional Materials, EarlyView.
A trimodal anode architecture spatially regulates silicon clusters within confined interstitial environments formed by graphite and contorted hexabenzocoronene. This confinement suppresses silicon aggregation and localized stress while enabling efficient Li‐ion transport, achieving high‐capacity, stable lithium‐ion batteries.
Jeongmi Joo, Minsung Kang, Seung Hak Oh, Jee Ho Ha, Hyunji Cha, Jimin Han, Ji‐Su Lim, Dae Hyeon Kwon, Won‐Jin Kwak, Sang Kyu Kwak, Seokhoon Ahn, Seok Ju Kang   +11 more
wiley   +1 more source

Cloud and rain processes in a biosphere-atmosphere interaction context in the Amazon Region [PDF]

, 2002
This paper presents an overview of the results from the first major mesoscale atmospheric campaign of the Large-Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) Program.
Rocha, H., Andreae, M.O., Silva Dias, M. A. F., E. Zipser, Manzi, A., M. O. Andreae, Garstang, M., Dolman, A.J., Manzi, A.O., Silva Dias, P. L., Fuentes, J., Gielow, R., Rocha, H.R., Nobre, C., C. Nobre, L. Gatti, Alvala, R.C.S., Artaxo, P., R. Gielow, J. D. Fuentes, R .C. S. Alvalá, Sa, L.D.A., Andreae, M. O., Fisch, G., M. Garstang, L. D. A. Sá, Dolman, A.J.; id_orcid, Rutledge, S., A. Plana‐Fattori, Zipser, E., P. Kabat, P. L. Silva Dias, Fuentes, J.D., Manzi, A. O., Silva Dias, M.A.F., G. Fisch, Dolman, A., A. O. Manzi, Sá, L. D. A., Fuentes, J. D., S. Rutledge, Kabat, P., Plana-Fattori, A., Silva Dias, P., Sá, L., Silva Dias, P.L., Andreae, M., Marengo, J., Gatti, L., Rocha, H. R., Dolman, A. J., P. Artaxo, Alvalá, R. C. S., H. R. Rocha, Alvalá, R., M. A. F. Silva Dias, Silva Dias, M., J. Marengo, A. J. Dolman   +58 more
core   +2 more sources