Results 41 to 50 of about 177,501 (262)

Predicting Materials Thermodynamics Enabled by Large Language Model‐Driven Dataset Building and Machine Learning

Advanced Intelligent Systems, EarlyView.
Illustration of text data mining of rare earth mineral thermodynamic parameters with the large language model‐powered LMExt. A dataset is built with mined thermodynamic properties. Subsequently, a machine learning model is trained to predict formation enthalpy from the dataset.
Juejing Liu, Haydn Anderson, Noah I. Waxman, Vsevolod Kovalev, Byron Fisher, Elizabeth Li, Xiaofeng Guo   +6 more
wiley   +1 more source

Synthetic Geology: Structural Geology Meets Deep Learning

Journal of Geophysical Research: Machine Learning and Computation
Reconstructing the structural geology and mineral composition of the first few kilometers of the Earth's subsurface from sparse or indirect surface observations remains a long‐standing challenge with critical applications in mineral exploration ...
Simon Ghyselincks, Valeriia Okhmak, Stefano Zampini, George Turkiyyah, David Keyes, Eldad Haber   +5 more
doaj   +1 more source

Data‐Driven Review and Machine Learning Prediction of Diamond Vacancy Center Synthesis

Advanced Intelligent Systems, EarlyView.
A machine learning framework is applied to photoluminescence spectra to extract linewidths and uncover how NV, SiV, GeV, and SnV centers evolve with growth and processing conditions. Unified normalization and k‐fold validation reveal cross‐method trends and enable rapid prediction of defect size and fabrication parameters, offering a data‐driven route ...
Zhi Jiang, Marco Peres, Carlo Bradac, Gil Gonçalves   +3 more
wiley   +1 more source

Sub‐Micrometer‐Precision Path Following of Piezo‐Actuated Mobile Robot

Advanced Intelligent Systems, EarlyView.
This article reports on the Holonomic‐Beetle (HB), a palm‐sized robot that achieves sub‐micrometer (sub‐µm) precision path tracking across spatial ranges from 100 µm to 10 mm. Using proportional‐integral‐derivative (PID) control, the HB accurately tracks both complex and straight paths with sub‐µm path errors, surpassing existing robots.
Eiji Kusui, Chihiro Sekine, Taiki Goto, Ryosuke Kinoshita, Yuko Nishimura, Shogen Sekiguchi, Satoshi Ando, Yuto Oishi, Yusuke Matsui, Ohmi Fuchiwaki   +9 more
wiley   +1 more source

Soil, competition, and niche shifts shape the floral mosaic of an annual plant diversity hotspot

American Journal of Botany, EarlyView.
Abstract Premise Plant species with affinity for harsh substrates often have well‐defined edaphic (soil) niches and are ideal for exploring questions of community assembly. Vertic clay soils are chemically and physically challenging to plant establishment and productivity, and annual plant communities associated with these soils of the San Joaquin ...
Emma R. Fryer, Ryan O'Dell, Dena L. Grossenbacher, Alyssa Shon, Skyler McKinnon, Nishanta Rajakaruna   +5 more
wiley   +1 more source

Mechanism of Hydrogen Sulfide Generation and Prevention Strategies in Oil and Gas Fields: A Case Study of the Sickle Bay Operation Area

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT To address the persistent exceedance of hydrogen sulfide (H2S) concentrations and the limited effectiveness of existing treatments in the Sickle Bay oil production area, this study deeply analyzes the mechanism of H2S generation in the Sickle Bay oil production area and proposes targeted prevention and control strategies. The results show that
Bo Lei, Yao‐long Li, Bao‐ping Bai, Xiang‐de Zhang, Guan‐tao Shi, Yong‐long Xie, Chen‐xiao Hou, Cong‐Yu Ke   +7 more
wiley   +1 more source

Prevalence of Well Water Contaminants in Georgia from 2010-2022

Journal of the Georgia Public Health Association
Background: Safe, reliable, and clean drinking water sources are a basic necessity. More than 1.7 million individuals rely on private wells for drinking water in Georgia and are confronted with water quality challenges stemming from chemical ...
Angelique B. Willis , Suhasini Ramisetty-Mikler, Christine E. Stauber, Uttam Kumar Saha   +3 more
doaj   +1 more source

Characterization and Modeling of Industrial Phosphoric Acids' Rheological Behavior: Impact of Magnesium Monoxide on Viscosity

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT This study investigates the rheological behavior of industrial phosphoric acids (H3PO4) produced at the JORF–LASFAR phosphoric plant in Morocco, with P2O5 concentrations of 18%, 29%, 42%, and 54%. Rheological measurements were performed using a rotary cylinder rheometer over a shear rate range of 1–1000 s−1.
Hamza Belbsir, Abderrahim Benzaouia, Said Kounbach, Abdelghani Laamaoui, Said Laassiri, Khalil El‐Hami, Rachid Benhida   +6 more
wiley   +1 more source

Enhancing UAV–SfM 3D Model Accuracy in High-Relief Landscapes by Incorporating Oblique Images

Remote Sensing, 2019
Complex landscapes with high topographic relief and intricate geometry present challenges for complete and accurate mapping of both lateral (x, y) and vertical (z) detail without deformation.
Paul Ryan Nesbit, Christopher H. Hugenholtz   +1 more
doaj   +1 more source

A perspective from the Mesozoic: Evolutionary changes of the mammalian skull and their influence on feeding efficiency and high‐frequency hearing

The Anatomical Record, EarlyView.
Abstract The complex evolutionary history behind modern mammalian chewing performance and hearing function is a result of several changes in the entire skeletomuscular system of the skull and lower jaw. Lately, exciting multifunctional 3D analytical methods and kinematic simulations of feeding functions in both modern and fossil mammals and their ...
Julia A. Schultz
wiley   +1 more source