Developing highly efficient catalysts to accelerate sluggish electrode reactions is critical for the deployment of sustainable aqueous electrochemical technologies, yet remains a great challenge. Rationally integrating functional components to tailor surface adsorption behaviors and adsorbate dynamics would divert reaction pathways and alleviate energy barriers, eliminating conventional thermodynamic constraints and ultimately optimizing energy flow within electrochemical systems. This approach has, therefore, garnered significant interest, presenting substantial potential for developing highly efficient catalysts that simultaneously enhance activity, selectivity, and stability. The immense promise and rapid evolution of this design strategy, however, do not overshadow the substantial challenges and ambiguities that persist, impeding the realization of significant breakthroughs in electrocatalyst development. This review explores the latest insights into the principles guiding the design of catalytic surfaces that enable favorable adsorbate dynamics within the contexts of hydrogen and oxygen electrochemistry. Innovative approaches for tailoring adsorbate-surface interactions are discussed, delving into underlying principles that govern these dynamics. Additionally, perspectives on the prevailing challenges are presented and future research directions are proposed. By evaluating the core principles and identifying critical research gaps, this review seeks to inspire rational electrocatalyst design, the discovery of novel reaction mechanisms and concepts, and ultimately, advance the large-scale implementation of electroconversion technologies.
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http://dx.doi.org/10.1002/adma.202417516 | DOI Listing |
J Med Internet Res
January 2025
Department of Computer Science and Software Engineering, United Arab Emirates University, Al Ain, United Arab Emirates.
Background: Neuroimaging segmentation is increasingly important for diagnosing and planning treatments for neurological diseases. Manual segmentation is time-consuming, apart from being prone to human error and variability. Transformers are a promising deep learning approach for automated medical image segmentation.
View Article and Find Full Text PDFAcc Chem Res
January 2025
Department of Chemistry, Shanghai Key Laboratory of Catalysis and Innovative Materials, Center of Chemistry for Energy Materials Shanghai, Fudan University, Shanghai 200433, PR China.
ConspectusZinc metal batteries (ZMBs) appear to be promising candidates to replace lithium-ion batteries owing to their higher safety and lower cost. Moreover, natural reserves of Zn are abundant, being approximately 300 times greater than those of Li. However, there are some typical issues impeding the wide application of ZMBs.
View Article and Find Full Text PDFMol Pharm
January 2025
Department of Pharmaceutics, School of Pharmacy, Virginia Commonwealth University, Richmond, Virginia 23298, United States.
Chemotherapy-induced peripheral neuropathy (CIPN) is a serious side effect of anticancer agents with limited effective preventive or therapeutic interventions. Although fenofibrate, a peroxisome proliferator-activated receptor-alpha (PPARα) agonist, has demonstrated neuroprotective and analgesic properties, its clinical utility is hindered by low receptor affinity, poor subtype selectivity, and suboptimal bioavailability. A190, a highly selective and potent nonfibrate PPARα agonist, offers a promising alternative but is limited by poor aqueous solubility, resulting in reduced oral bioavailability and therapeutic efficacy.
View Article and Find Full Text PDFSci Transl Med
January 2025
Department of Surgery, UT Southwestern Medical Center, Dallas, TX 75390, USA.
Pancreatic ductal adenocarcinoma (PDAC) driven by the mutation presents a formidable health challenge because of limited treatment options. MRTX1133 is a highly selective and first-in-class KRAS-G12D inhibitor under clinical development. Here, we report that the advanced glycosylation end product-specific receptor (AGER) plays a key role in mediating MRTX1133 resistance in PDAC cells.
View Article and Find Full Text PDFACS Nano
January 2025
Department of Chemical and Biomolecular Engineering, Lehigh University, 124 E. Morton Street, Bethlehem, Pennsylvania 18015, United States.
Quantum dot (QD) light-emitting diodes (QLEDs) are promising candidates for next-generation displays because of their high efficiency, brightness, broad color gamut, and solution-processability. Large-scale solution-processing of electroluminescent QLEDs poses significant challenges, particularly concerning the precise control of the active layer's thickness and uniformity. These obstacles directly impact charge transport, leading to current leakage and reduced overall efficiency.
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