Results 161 to 170 of about 114,801 (234)

Non-Laplacian air-gap electrostatics for high-field oil-water nanoemulsion separation. [PDF]

open access: yesSci Adv
Panat S   +5 more
europepmc   +1 more source

Machine Learning‐Driven Classification and Production Capacity Prediction of Tight Sandstone Reservoirs: A Case Study of the Taiyuan Formation, Ordos Basin

open access: yesEnergy Science &Engineering, EarlyView.
On the basis of core and log data, a Bayesian‐Optimized Random Forest model achieved 92.76% accuracy in classifying tight sandstone reservoirs. A gray relational analysis‐derived evaluation index shows > 80% consistency with actual gas zones. ABSTRACT Tight sandstone gas (TSG), an unconventional oil–gas resource, has heterogeneous reservoirs ...
Yin Yuan   +8 more
wiley   +1 more source

Energy Consumption and CO2 Emissions Forecasting of Transport Sector Using Machine Learning

open access: yesEnergy Science &Engineering, EarlyView.
The transport sector accounts for approximately one‐quarter of Iran's final energy consumption. The energy demand in this sector has the least variation, with petroleum products accounting for more than 85% of the demand. Furthermore, the accelerated growth of energy consumption and the sector's reliance on fossil fuels, which are the main cause of ...
Amir Hossein Akbari   +2 more
wiley   +1 more source

Application, Challenges, and Prospects of Non‐Thermal Processing Technologies for Seaweed Protein Extraction—A Review

open access: yesFood Chemistry International, EarlyView.
This review highlights non‐thermal extraction technologies for seaweed proteins, emphasizing their mechanisms, impacts on protein structure and functionality, and sustainability potential. Key limitations related to species dependence, extract complexity, and scale‐up are discussed to guide future industrial and biorefinery applications.
Rahat Mahmud   +3 more
wiley   +1 more source

Structureless excitation and manipulation of dynamic holographic plasmonic slides. [PDF]

open access: yesNat Commun
Zhang Y   +8 more
europepmc   +1 more source

Characterization of Cantaloupe, Grape, Pumpkin, and Tomato Seed Oils From Xinjiang: Oxidative Stability, Volatile‐Compound Analysis, and Sensory Evaluation

open access: yesFood Chemistry International, EarlyView.
This study compares oxidative stability, fatty acid profiles, volatile compounds, and sensory attributes of four Xinjiang seed oils. Distinct aldehyde‐driven aroma patterns and compositional differences were revealed, providing a scientific basis for quality evaluation and valorization of underutilized plant seed oils in food applications.
Yilai Wan   +4 more
wiley   +1 more source

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