Results 81 to 90 of about 4,976,815 (252)

Production, by co-grinding in a media mill, of porous biodegradable polylactic acid-apatite composite materials for bone tissue engineering [PDF]

open access: yes, 2009
This paper presents the results of a study of the production of porous biodegradable composite materials by co-grinding, followed by scaffolding. Dry powders of polylactic acid and nanocrystalline carbonated apatite, analogous to bone mineral were co ...
Combes, Christèle   +6 more
core   +1 more source

Structural and Compositional Effects on the Scintillation Properties of Fast Emitting Metal‐Organic Frameworks

open access: yesAdvanced Science, EarlyView.
The crystalline structure, the atomic numbers of the constituent elementsand the size of MOF crystals each influence their photoluminescence and scintillation properties in distinct ways. Together, these factors provide valuable guidelines for designing systems with optimized performance and tunable timing characteristics, arising from the synergistic ...
Francesca Cova   +8 more
wiley   +1 more source

Research of magnetic properties of nanocrystalline materials considering temperature effects

open access: yesAIP Advances
Nanocrystalline materials are increasingly used in high-frequency transformer cores due to their advantages, including high permeability, high saturation flux density, and low loss characteristics.
Ning Wang, Pengning Zhang, Hong Cheng
doaj   +1 more source

Reappraisal of grain boundary diffusion creep equations for nanocrystalline materials

open access: yes, 2019
Grain boundary diffusion creep equations developed previously for nanocrystalline materials were reappraised in order to elicit further understanding of plastic deformation of these materials in relation to grain boundary diffusion.
Nam, WJ   +4 more
core   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

open access: yesAdvanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram   +4 more
wiley   +1 more source

Cobalt-Doped Manganese Dioxide Hierarchical Nanostructures for Enhancing Pseudocapacitive Properties

open access: yesACS Omega, 2021
Sarika M. Jadhav   +7 more
doaj   +1 more source

Grain size threshold for enhanced irradiation resistance in nanocrystalline and ultrafine tungsten

open access: yesMaterials Research Letters, 2017
Nanocrystalline metals are considered highly radiation-resistant materials due to their large grain boundary areas. Here, the existence of a grain size threshold for enhanced irradiation resistance in high-temperature helium-irradiated nanocrystalline ...
O. El-Atwani   +4 more
doaj   +1 more source

Overcoming the Catalytic Bucket Effect in Pt‐based High‐Entropy Nanocages Through Interface Defect and Strain Engineering

open access: yesAdvanced Science, EarlyView.
PtPdNiCuMnAu HENCs exhibit a remarkable half‐wave potential (E1/2) of 0.925 V vs. RHE. The catalyst displays exceptional electrochemical stability, with only a 4 mV negative shift in E1/2 and a mere 5.6% loss in MA after 10, 000 accelerated durability test cycles.
Qian Liu   +5 more
wiley   +1 more source

Biomimetic apatite sintered at very low temperature by spark plasma sintering: Physico-chemistry and microstructure aspects [PDF]

open access: yes, 2010
Nanocrystalline apatites analogous to bone mineral are very promising materials for the preparation of highly bioactive ceramics due to their unique intrinsic physico-chemical characteristics.
Martinet-Rollin, S.   +16 more
core   +1 more source

Enhanced Ionic Conductivity at the Solid Electrolyte Interphase of Oxygen‐Doped Li6PS5Cl

open access: yesAdvanced Science, EarlyView.
Machine‐learned molecular dynamics and machine‐learning‐based phase identification reveal the kinetically formed SEI at buried Li | Li6PS5Cl interfaces. The SEI is dominated by Li2S‐based anion‐substituted phases, while oxygen doping enhances SEI ionic conductivity.
Sojeong Yang   +6 more
wiley   +1 more source

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