Results 151 to 160 of about 4,504,798 (326)

Ontology‐Aligned Structuring and Reuse of Multimodal Materials Data and Workflows Toward Automatic Reproduction

Advanced Engineering Materials, EarlyView.
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari, Abril Azocar Guzman, Sarath Menon, Stefan Sandfeld, Tilmann Hickel, Markus Stricker   +5 more
wiley   +1 more source

Subarctic Ground Cover Potentially Contributes to Biotic Resistance Against Invasions by Non-Native Plants

Biological invasions in northern regions are an emerging issue, with increasing occurrences of non-native flora in disturbed areas. Although biotic factors modulate several environmental conditions important for invasion success, whether they inhibit ...
Peter M Kotanen, Noam Michael Harris
core   +1 more source

Symmetry‐Guided Multifunctional Acoustic System Based on Mechanically Actuated Sonic Crystals

Advanced Engineering Materials, EarlyView.
This study presents the design, simulation, and experimental validation of amultifunctional acoustic metamaterial based on rotationally engineered sonic crystals.By tuning cylinder orientations, controllable band gaps and six distinct functionalities—including switching, topological insulation, beam splitting, and logic operations—areachieved ...
Yuanyan Zhao, Sriram Subramanian, Gianluca Memoli   +2 more
wiley   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

Agrivoltaics for Ornamental Plant Nurseries: Innovation to Enhance Crop Protection and Energy Production

AgriVoltaics Conference Proceedings
Nursery crops, especially potted ornamental plants, are increasingly vulnerable to climate extremes, notably root damage from high substrate temperatures.
Perrine Juillion, Joris Dubosc, Camille Crevat, Candice Tranchant, Xavier Bunker, Jimmy Noel, Hervé Colin, Damien Fumey   +7 more
doaj  

Army Ground Forces mobilization plan.

, 2020
Headquarters AGF has evolved a detailed mobilization plan for the expansion of the Army Ground Forces and Army Ground Force-type units from the projected numbers of units in existence in the Zone of Interior on 1 July 1946.
Headquarters, Army Ground Forces
core  

Inverse Identification of Energy‐Dependent Laser Absorptivity in NiTi Laser Powder‐Bed Fusion via Calibrated Melt Pool Simulation

Advanced Engineering Materials, EarlyView.
A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi, Hadi Moutablaleh, Ignatius A. Setiawan, Mehrshad Mehrpouya   +3 more
wiley   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

LANDSCAPE-BASED DISASTER MITIGATION: IMPACT OF ORNAMENTAL GROUND COVER PLANTS IN SLOPE PROTECTION AND SEISMIC RESILIENCE

Landscape-based disaster mitigation has emerged as an eco-friendly and sustainable approach for reducing the impacts of natural hazards such as landslides, soil erosion and seismic disturbances in vulnerable terrains.
M. Raja Naik Naik, B. Bhargavi Bhargavi, Jasmine Keziah Puli Keziah Puli, Jassica Keren Puli Keren Puli, T. Sumathi Sumathi, N. Vinod Kumar Kumar, G.S. Abdul Wazeed Abdul Wazeed   +6 more
core   +1 more source

A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy

Advanced Engineering Materials, EarlyView.
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle, Cesar Alvarez‐Llamas, Vincent Motto‐Ros, Christophe Dujardin, Jérémie Margueritat, David Rodney   +5 more
wiley   +1 more source