Results 251 to 260 of about 288,924 (358)
Impact of Discharging Methods on Electrode Integrity in Recycling of Lithium‐Ion Batteries
Electrical and electrochemical discharge methods for end‐of‐life lithium‐ion batteries are compared. Electrochemical discharge better preserves the composition and layered structure of Ni‐rich cathode materials while minimizing residual lithium compounds.
Neha Garg +3 more
wiley +1 more source
Research on the possibility of using olive pit biomass in recycling metals from slag. [PDF]
Smalcerz A +7 more
europepmc +1 more source
Growth Standards for Children With Smith–Magenis Syndrome (SMS)
ABSTRACT Smith–Magenis syndrome (SMS, OMIM 182290) is a complex syndromic diagnosis marked by neurobehavioral differences and distinct facial dysmorphisms, caused by haploinsufficiency of the retinoic acid‐1 (RAI1) gene either by a pathogenic sequence variant or deletion at chromosome 17p11.2 involving a portion or all of this gene.
Julie Hoover‐Fong +10 more
wiley +1 more source
Optimization of cementitious and fine electric arc furnace slag on the concrete mixes through mechanical, durability, and microstructural testing. [PDF]
Rani K, Senthil K, Boora A, Tiwary AK.
europepmc +1 more source
Thermodynamic Analysis of Hydrogen Production via Steam Reforming of Bio-oil with Blast Furnace Slag
Huaqing Xie +4 more
openalex +1 more source
Clay‐based mortar reinforced with coconut fibers showed improved flexural strength and promising mechanical performance, despite shrinkage‐induced cracks. The study highlights the potential of using waste and natural fibers in eco‐efficient mortars, emphasizing the importance of curing and moisture control.
Gabriela Machado Guimarães Ferreira +1 more
wiley +1 more source
Enzyme assisted carbon dioxide capture and mineralization in construction relevant alkaline materials. [PDF]
Liaqat N, Yu XB.
europepmc +1 more source
Durability Behaviour of Copper Slag Admixed Concrete
T. Seshadri Sekhar
openalex +1 more source
ABSTRACT The dissolution behavior of nonmetallic inclusions in slag is critical for determining steel cleanliness. In this study, a machine learning (ML) model was developed to predict inclusion dissolution time. A key contribution of this work is the construction of a comprehensive database by integrating literature‐based experimental data with a ...
Jintao Song +3 more
wiley +1 more source

