Formation of Platinum (Pt) Nanocluster Coatings on K-OMS-2 Manganese Oxide Membranes by Reactive Spray Deposition Technique (RSDT) for Extended Stability during CO Oxidation

Nanocluster formation of a metallic platinum (Pt) coating, on manganese oxide inorganic membranes impregnated with multiwall carbon nanotubes (K-OMS-2/MWCNTs), applied by reactive spray deposition technology (RSDT) is discussed. RSDT applies thin films of Pt nanoclusters on the substrate;the thickness of the film can be easily controlled. The K-OMS-2/MWCNTs fibers were enclosed by the thin film of Pt. X-ray diffraction (XRD), scanning electron microscopy/X-ray energy dispersive spectroscopy (SEM/XEDS), focus ion beam/scanning electron microscopy (FIB/SEM), transmission electron microscopy (TEM), and X-ray 3D micro-tomography (MicroXCT) which have been used to characterize the resultant Pt/K-OMS-2/MWCNTs membrane. The non-destructive characterization technique (MicroXCT) resolves the Pt layer on the upper layer of the composite membrane and also shows that the membrane is composed of sheets superimposed into stacks. The nanostructured coating on the composite membrane material has been evaluated for carbon monoxide (CO) oxidation. The functionalized Pt/K-OMS-2/MWCNTs membranes show excellent conversion (100%) of CO to CO2 at a lower temperature 200℃ compared to the uncoated K-OMS-2/MWCNTs. Moreover, the Pt/K-OMS-2/MWCNTs membranes show outstanding stability, of more than 4 days, for CO oxidation at 200℃.

A Review of Nonaqueous Electrolytes,Binders,and Separators for Lithium-Ion Batteries

Lithium-ion batteries(LIBs)are the most important electrochemical energy storage devices due to their high energy den-sity,long cycle life,and low cost.During the past decades,many review papers outlining the advantages of state-of-the-art LIBs have been published,and extensive efforts have been devoted to improving their specific energy density and cycle life performance.These papers are primarily focused on the design and development of various advanced cathode and anode electrode materials,with less attention given to the other important components of the battery.The“nonelectroconductive”components are of equal importance to electrode active materials and can significantly affect the performance of LIBs.They could directly impact the capacity,safety,charging time,and cycle life of batteries and thus affect their commercial application.This review summarizes the recent progress in the development of nonaqueous electrolytes,binders,and separa-tors for LIBs and discusses their impact on the battery performance.In addition,the challenges and perspectives for future development of LIBs are discussed,and new avenues for state-of-the-art LIBs to reach their full potential for a wide range of practical applications are outlined.

Application of artificial intelligence in the materials science,with a special focus on fuel cells and electrolyzers

Artificial Intelligence(AI)has revolutionized technological development globally,delivering relatively more accurate and reliable solutions to critical challenges across various research domains.This impact is particularly notable within the field of materials science and engineering,where artificial intelligence has catalyzed the discovery of new materials,enhanced design simulations,influenced process controls,and facilitated operational analysis and predictions of material properties and behaviors.Consequently,these advancements have stream-lined the synthesis,simulation,and processing procedures,leading to material optimization for diverse appli-cations.A key area of interest within materials science is the development of hydrogen-based electrochemical systems,such as fuel cells and electrolyzers,as clean energy solutions,known for their promising high energy density and zero-emission operations.While artificial intelligence shows great potential in studying both fuel cells and electrolyzers,existing literature often separates them,with a clear gap in comprehensive studies on electrolyzers despite their similarities.This review aims to bridge that gap by providing an integrated overview of artificial intelligence’s role in both technologies.This review begins by explaining the fundamental concepts of artificial intelligence and introducing commonly used artificial intelligence-based algorithms in a simplified and clearly comprehensible way,establishing a foundational knowledge base for further discussion.Subsequently,it explores the role of artificial intelligence in materials science,highlighting the critical applications and drawing on examples from recent literature to build on the discussion.The paper then examines how artificial intelligence has propelled significant advancements in studying various types of fuel cells and electrolyzers,specifically emphasizing proton exchange membrane(PEM)based systems.It thoroughly explores the artificial intelligence tools and techniques for characterizing,manufacturing,testing,analyzing,and optimizing these systems.Additionally,the review critically evaluates the current research landscape,pinpointing progress and prevailing challenges.Through this thorough analysis,the review underscores the fundamental role of artificial intelligence in advancing the generation and utilization of clean energy,illustrating its transformative potential in this area of research.