Results 211 to 220 of about 4,823,194 (295)

Foliar Applied Calcium Improves Seed Yield and Yield Components of Alfalfa

International Journal of Agriculture and Biology, 2016
Hui Wang, Wenxu Zhang, Xiaoxing Wei, Yan Sun, Mingya Wang, Peisheng Mao   +5 more
openaire   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Heat stress during the milky stage reshapes phenology, assimilate partitioning, and yield formation in rice cultivars with contrasting heat tolerance. [PDF]

Front Plant Sci
Pansarakham P, Sumtonglang N, Hongpakdee P, Kulya C, Theerakulpisut P, Dongsansuk A.   +5 more
europepmc   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Farmyard manure improves the productivity and profitability of cotton (Gossypium hirsutum L.) under semi-arid conditions through integrated nutrient management. [PDF]

BMC Plant Biol
Cevheri Cİ.
europepmc   +1 more source

Workflow for Design of Experiments‐Based Modeling of Species Transport and Growth Kinetics in GaN Hydride Vapor Phase Epitaxy

Advanced Engineering Materials, EarlyView.
A novel workflow for investigating hydride vapor phase epitaxy for GaN bulk crystal growth is proposed. It combines Design of experiments (DoE) with physical simulations of mass transport and crystal growth kinetics, serving as an intermediate step between DoE and experiments.
J. Tomkovič, G. Lukin, H. Torkashvand, A. Kerschbaum, M. Müller, S. Besendörfer, J. Heitmann, J. Friedrich   +7 more
wiley   +1 more source

Multi-model genome-wide association analysis of agronomic traits in a Kabuli chickpea MAGIC-subset population (<i>Cicer arietinum</i> L.) across Mediterranean environments. [PDF]

Front Plant Sci
Traoré FF, Sohail Q, El Allali A, Gorafi YSA, Hejjaoui K, Hamwieh A, Instanbuli T, Boughribil S, Amri M.   +8 more
europepmc   +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

Utilization of Membrane Bioreactor (MBR)-Treated Wastewater in Irrigation of Safflower (Carthamus tinctorius L.) Under Mediterranean Conditions. [PDF]

Water Environ Res
Meriç MK, Kukul YS, Özçakal E, Gürgülü H, Falizi NJ, Madenoğlu TG, Pek TÖ, Kabay N.   +7 more
europepmc   +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