Results 191 to 200 of about 91,963 (247)

Predicting Performance of Hall Effect Ion Source Using Machine Learning

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park   +8 more
wiley   +1 more source

Nonlinear spatiotemporal signatures of whistler-mode wave activity around Mercury during six flybys of BepiColombo mission. [PDF]

open access: yesNat Commun
Ozaki M   +10 more
europepmc   +1 more source

Data‐Driven Insights into Rare Earth Mineralization: Machine Learning Applications Using Functional Material Synthesis Data

open access: yesAdvanced Intelligent Systems, EarlyView.
Hydrothermal synthesis records for rare‐earth compounds are repurposed to learn mineralization rules. An extreme gradient boosting model ingests precursors, additives, and engineered descriptors to predict product phases, crystallization temperature, and pH. Feature importance indicates dominant thermodynamic control with kinetic modulation, suggesting
Juejing Liu   +6 more
wiley   +1 more source

Directly observing the magnetic rope contraction and expansion in space. [PDF]

open access: yesNat Commun
Fu HS   +7 more
europepmc   +1 more source

Mechanistic Insights Into Cellulose Dissolution in Solvents for Advanced Industrial Applications: A Systematic and Bibliometric Review

open access: yesAsia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Cellulose dissolution is important for various industries, including textiles, bioplastics, foods and pharmaceuticals, yet achieving efficient dissolution remains challenging. Deep eutectic solvents (DES) have emerged as promising alternatives to traditional solvents due to their low toxicity, biodegradability and sustainability.
Chigozie Charity Okwuwa   +4 more
wiley   +1 more source

Ultrasound–Calcination Synergistic Control of (Ce, La)PO4 Catalyst Structure for Enhanced Low‐Temperature NH3‐SCR Performance

open access: yesAsia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT In this study, (Ce, La)PO4 catalysts were synthesized via an ultrasound‐assisted method. The effects of ultrasound duration and calcination temperature on the low‐temperature NH3‐SCR performance were systematically investigated. The results indicated that the (Ce, La)PO4 catalyst prepared with an ultrasound treatment time of 20 min and a ...
Na Li   +4 more
wiley   +1 more source

Multimodal sensory inputs and mechanosensory components mediate <i>C. elegans</i> negative gravitaxis. [PDF]

open access: yesiScience
Ackley C   +13 more
europepmc   +1 more source

Investigation of the Optical and Morphological Properties of PS/POMA Blends Hybridized With Erbium Oxide (Er2O3)

open access: yesJournal of Applied Polymer Science, EarlyView.
ABSTRACT Polymeric blends (PB) represent a rapid and cost‐effective strategy for the development of materials with tailored properties. In this study, blends of polystyrene (PS) and poly(o‐methoxyaniline) (POMA) containing 7.5 wt/wt% of POMA were prepared and hybridized with erbium oxide (Er2O3) at concentrations of 0.5, 1.0, and 3.0 wt/wt%.
Ana Carolina Pires Martins   +4 more
wiley   +1 more source

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