Results 221 to 230 of about 492,142 (334)

Toward Scalable Solutions for Silver‐Based Gas Diffusion Electrode Fabrication for the Electrochemical Conversion of CO2 – A Perspective

Advanced Functional Materials, EarlyView.
In this study, the preparation techniques for silver‐based gas diffusion electrodes used for the electrochemical reduction of carbon dioxide (eCO2R) are systematically reviewed and compared with respect to their scalability. In addition, physics‐based and data‐driven modeling approaches are discussed, and a perspective is given on how modeling can aid ...
Simon Emken, K. Ashoke Raman, Alexander Bauer, Violeta Karyofylli, Eva Jodat, André Karl, Rüdiger‐A. Eichel   +6 more
wiley   +1 more source

Influence of Rotor-Induced Airflow on Particle Fragmentation in an Impact Crusher: A Computational Fluid Dynamics-Discrete Element Method Study. [PDF]

ACS Omega
Wang X, Huang Y, Zhang F, Meng Q.
europepmc   +1 more source

Block Copolymers: Emerging Building Blocks for Additive Manufacturing

Advanced Functional Materials, EarlyView.
This review addresses how block copolymer (BCP) physics and rheology have led to the widespread use of BCPs in advanced additive manufacturing techniques, with particular emphasis on the untapped potential of these nanostructured materials toward achieving multi‐scale architected materials with unique, programmable material properties.
Alice S. Fergerson, Hemish B. Thakkar, Jiaen Wu, Emily C. Davidson   +3 more
wiley   +1 more source

Research Progress of Computational Fluid Dynamics in Mixed Ionic-Electronic Conducting Oxygen-Permeable Membranes. [PDF]

Membranes (Basel)
Liu J, Zhao J, Liu Y, Zhu Y, Zhou W, Gu Z, Zhang G, Liu Z.   +7 more
europepmc   +1 more source

Transition From Lattice Oxygen to Radical‐Mediated Oxidation in Ammonium‐Intercalated Birnessite Catalysts for Selective Valorization of Biomass to Produce Formic Acid

Advanced Functional Materials, EarlyView.
The catalytic valorization of biomass represents an essential approach for achieving sustainable chemical production, with formic acid (FA) being recognized as a valuable platform chemical for hydrogen storage and environmentally friendly synthetic applications.
Yiqi Geng, Wei Xiong, Wenhua Xue, Jian Ye, Puranjan Mishra, Rajenahally V. Jagadeesh, Jun Zhao   +6 more
wiley   +1 more source

Proximal pulmonary artery wall shear stress derived from computational fluid dynamics: A noninvasive biomarker for CTEPH and perfusion mismatch. [PDF]

Physiol Rep
Bellouche Y, Tromeur C, Le Ven F, Robin P, Gut-Gobert C, Le Roux PY, Nonent M, Fauché A, Elhasnaoui J, Le Hir A, Guegan M, Leroyer C, Salaün PY, Pasdeloup B, Didier R, Couturaud F.   +15 more
europepmc   +1 more source

Spectrally Tuned Floating‐Gate Synapse Based on Blue‐ and Red‐Absorbing Organic Molecules for Wavelength‐Selective Neural Networks and Fashion Image Classifications

Advanced Functional Materials, EarlyView.
The characteristics of a vertical floating gate heterostructure transistor device that exhibits neuromorphic potentiation under visible light illumination are investigated. Due to spectrally‐tuned absorbance properties of each thin film layer and introduction of tunneling dielectric, the device enables wavelength‐selective tuning of synaptic plasticity
Seungme Kang, Jisoo Park, Jinwoong Hong, Jinmin Park, Jeongbo Lee, Hyeonjung Kim, Wonjun Shin, Eva Bestelink, Radu A. Sporea, Seyong Oh, Chung Whan Lee, Yun‐Hi Kim, Hocheon Yoo   +12 more
wiley   +1 more source

Computational Fluid Dynamics in Medicine and Biology. [PDF]

Bioengineering (Basel)
Taebi A.
europepmc   +1 more source

Exploring the Feasibility of INCONEL® ALLOY 740H® for Power Plant Headers: Integrating Machine Learning with Computational Fluid Dynamics (CFD)

Ahmed Megri
openalex   +1 more source

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

Advanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy, Chuan‐En Lu, Kai Liu, Audrey Gallud   +3 more
wiley   +1 more source