On the magnetic power of iron and its metallurgic products [PDF]
M.A. Delesse
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Advanced Energy and Sustainability Research, EarlyView.Hydrometallurgical recycling of lithium‐ion batteries produces wastewater containing PF6− and Li+, which must be removed and recovered, respectively. This study pioneers electrodialysis using anion exchange membrane and cation exchange membrane to separate PF6− and Li+.
Takuto Miyashita +2 more
wiley +1 more source
Metallurgical Process Simulation and Optimization-2nd Volume. [PDF]
Materials (Basel)Zhang J, Tang J, Liu Q.
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Enumeration of Blocks or Pigs of Lead and Tin, Relics of Roman Metallurgy, Discovered in Great Britain [PDF]
Albert Way
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Grave to Cradle: A Direct Recycling Approach for Over‐Discharged LiFePO4 Electric Vehicle Cells
Advanced Energy and Sustainability Research, EarlyView.The change in the LiFePO4 (LFP) material from grave to cradle. The material is delaminated with water, before undergoing ball milling and a relithiation‐carbothermal treatment. The final step shows the fully healed LFP remanufactured as a new cathode. The purple represents LiFePO4, the light purple FePO4, black, and dark grey—the graphite and carbons ...
Elizabeth Helen Driscoll +10 more
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Behavior of Phosphorus During Selective Reduction of Iron from Oolitic Ore and Separation of Reduction Products. [PDF]
Materials (Basel)Suleimen B +11 more
europepmc +1 more source
Advances in 3D Printing Technologies for Fabricating Magnetic Soft Microrobots
Advanced Intelligent Systems, EarlyView.This paper gives an in‐depth synopsis of various additive manufacturing technologies used to fabricate magnetic soft microrobots. The review covers the basics behind magnetism and the materials used. It then dives into three‐dimensional printing technologies including extrusion, photopolymerization, jetting, etc.
Kaitlyn Clancy +2 more
wiley +1 more source
Introduction to the <i>RSC Advances</i> themed collection on the photoluminescence of lanthanide-doped phosphor materials. [PDF]
RSC AdvYadav RS, Richards BS, Pisarska J, Ye X.
europepmc +1 more source
Exploiting Multitask Deep Learning to Identify Multiple Heavy Metal Contamination at Large Scales
Advanced Intelligent Systems, EarlyView.A multitask deep learning framework evaluates manganese, chromium, and cobalt concentrations in European soils, achieving an average R2 of 0.75. From 2009 to 2015, soil concentrations increase significantly. Source analysis identifies anthropogenic manganese and geological chromium and cobalt origins.
Tao Hu +6 more
wiley +1 more source