The Effect of Thermal Processing on the Microstructure and Properties of a Novel Nickel-Based Powder Metallurgy Superalloy. [PDF]
Xiong J+5 more
europepmc +1 more source
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]
Wang J+7 more
europepmc +1 more source
Machine Learning Helps Data Mining to Build Descriptor Databases for Lithium‐Ion Batteries
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
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
United States Senate Committee on Foreign Relations Subcommittee on International Economic Policy, Hearings on U.S./European Economic Relations - Problems and Prospects, Testimony by William A. Root Former Director, Office of East West Trade Department of State, 26 October 1983 [PDF]
Root, William A.
core
Machine Learning‐Assisted Sensitivity Analysis for Stochastic Fatigue Life Modeling of Metals
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
Research on multi-source microstructure image recognition of foam ceramics using convolutional network combine with frequency domain. [PDF]
Yin Y, Pan J, Wang F, Li P, Cai Z, Xu X.
europepmc +1 more source
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