Results 271 to 280 of about 22,225 (346)

Mesenchymal Stem Cell‐Engrafted Bacterial Cellulose and Graphene Oxide Scaffolds Enhance Peripheral Nerve Repair in a Rat Model

open access: yesMacromolecular Materials and Engineering, EarlyView.
This study investigates the use of graphene oxide‐decorated bacterial cellulose (BC/GO) scaffolds combined with mesenchymal stem cells (MSCs) to enhance axonal regeneration after sciatic nerve injury in rats. Graphene oxide is embedded monodispersely into the BC fibrillar matrix.
Ismail Simsek   +5 more
wiley   +1 more source

Prospect of Tellurium in High-Temperature Carburizing Gear Steels: An Industrial Study. [PDF]

open access: yesMaterials (Basel)
Wang J   +7 more
europepmc   +1 more source

Machine Learning Helps Data Mining to Build Descriptor Databases for Lithium‐Ion Batteries

open access: yesMetalMat, EarlyView.
Machine learning‐driven research methodologies for lithium‐ion batteries are gaining increasing favor among researchers. By leveraging machine learning algorithms to extract essential descriptor data, this approach can substantially accelerate the development of high‐performance lithium‐ion batteries.
Xiran Zhao   +5 more
wiley   +1 more source

High‐throughput computational screening of porous materials for CO2 removal from Fischer–Tropsch synthesis

open access: yesMaterials Genome Engineering Advances, EarlyView.
The present work finds competitive adsorption selectivity of CO2 (e.g., RUBTAK03, KINNIG) from the database of tens of thousands of porous materials based on high‐throughput screening and grand canonical Monte Carlo simulation, which is crucial for CO2 removal/purification in Fischer–Tropsch synthesis. Abstract Fischer–Tropsch synthesis is an important
Junpeng Yuan, Min Li, Hui Wang
wiley   +1 more source

Machine Learning‐Assisted Sensitivity Analysis for Stochastic Fatigue Life Modeling of Metals

open access: yesInternational Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Predicting fatigue life with precision requires more than isolated evaluations of mechanical properties; it requires an integrated approach that captures the interdependencies between various parameters, including elastic modulus, tensile strength, yield strength, and strain‐hardening exponent.
Tran C. H. Nguyen, N. Vu‐Bac
wiley   +1 more source

Utilization of Catla catla Fish Scale for Eliminating Cr (III) and Co (II) Heavy Metals From Wastewater

open access: yesNano Select, EarlyView.
The graphical abstract represents fish scales, a waste by product, were repurposed as a bio‐adsorbent for Cr(III) and Co(II) removal. The scales were washed, dried, and ground before being tested under varying concentrations. FTIR analysis showed changes in functional groups after adsorption, while SEM revealed metal ion attachment.
Samiha Sultana   +5 more
wiley   +1 more source

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