In this study of catalytic microfluidic reactors we show that, when optimally structured, these reactors share underlying scaling properties. The scaling is predicted theoretically and verified numerically. Furthermore, we show how to increase the reaction rate significantly by distributing the active porous material within the reactor using a high-level implementation of topology optimization.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1103/PhysRevE.75.016301 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Deciphering the Radial Ligand Effect of Biomimetic Amino Acid toward Stable Alkaline Oxygen Evolution.
Inorg Chem
January 2025
School of Materials Science and Engineering, China University of Petroleum, Qingdao 266580, PR China.
Mismatched electron and proton transport rates impede the manifestation of effective performance of the electrocatalytic oxygen evolution reaction (OER), thereby limiting its industrial applications. Inspired by the natural protein cluster in PS-II, different organic-inorganic hybrid electrocatalysts were synthesized via a hydrothermal method. -Toluidine (PT), benzoic acid (BA), and -aminobenzoic acid (PABA) were successfully intercalated into NiFe-LDH.
View Article and Find Full Text PDFA computational study of the ternary mixtures of NaPF-EC and choline glycine ionic liquid.
Phys Chem Chem Phys
January 2025
Institute of Science and Technology, Federal University of São Paulo, 12247-014, São José dos Campos, São Paulo, Brazil.
This study investigates the structural and dynamic properties of ternary mixtures composed of NaPF, ethylene carbonate (EC), and the ionic liquid choline glycine (ChGly), with a focus on their potential as electrolytes for supercapacitors. The combination of NaPF-EC, known for its high ionic conductivity, with the biodegradable and environmentally friendly ChGly offers a promising approach to enhancing electrolyte performance. Through molecular simulations, we analyze how the inclusion of small concentrations of ChGly affects key properties such as density, cohesive energy, and ion mobility.
View Article and Find Full Text PDFPeptide therapeutics, a major class of medicines, have achieved remarkable success across diseases such as diabetes and cancer, with landmark examples such as GLP-1 receptor agonists revolutionizing the treatment of type-2 diabetes and obesity. Despite their success, designing peptides that satisfy multiple conflicting objectives, such as target binding affinity, solubility, and membrane permeability, remains a major challenge. Classical drug development and structure-based design are ineffective for such tasks, as they fail to optimize global functional properties critical for therapeutic efficacy.
View Article and Find Full Text PDFBackground: Limited-angle (LA) dual-energy (DE) cone-beam CT (CBCT) is considered as a potential solution to achieve fast and low-dose DE imaging on current CBCT scanners without hardware modification. However, its clinical implementations are hindered by the challenging image reconstruction from LA projections. While optimization-based and deep learning-based methods have been proposed for image reconstruction, their utilization is limited by the requirement for X-ray spectra measurement or paired datasets for model training.
View Article and Find Full Text PDFGiant Chiari's Network in Healthy Adults.
Cureus
December 2024
Cardiovascular Surgery, Kawasaki Municipal Hospital, Kawasaki, JPN.
A 40-year-old male visited our clinic for cardiac evaluation. He had palpitations for several years, but the reason was unknown. Transthoracic echocardiography revealed a hyperechoic ribbon-shaped structure that moved vigorously in the right atrium.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!