Results 91 to 100 of about 1,407,468 (324)
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 +6 more
wiley +1 more source
We propose a new Monte Carlo technique in which the degeneracy of energy states is obtained with a Markovian process analogous to that of Metropolis used currently in canonical simulations.
de Oliveira, P. M. C. +2 more
core +2 more sources
Liquid crystalline inverted lipid phases and reverse micelles are self‐assembled lipid nanostructures that enhance the solubility, stability, and delivery of diverse therapeutics. This review integrates their physicochemical principles, formulation strategies, drug loading mechanisms, and biomedical applications, highlighting their growing ...
Numan Eczacioglu +3 more
wiley +1 more source
Fast Simulation Study of Muon Absorption Radiography Based on Energy Loss Calculation
Using natural cosmic ray muon as radiation source, muon absorption radiography can realize nondestructive detection of large-scale geological objects. Simulation analysis is an important step in the application of muon absorption radiography.
DING Wenwan;LIU Yuanyuan;WANG Li;SU Ning;CHENG Jianping;HAN Jianwu;ZHEN Gang
doaj
Lipid nanoparticles containing messenger RNA are characterized by sedimentation velocity analytical ultracentrifugation using UltraScan's new Custom Grid algorithm to provide multi‐dimensional distributions for partial specific volume (particle density), molar mass, sedimentation, diffusion, and hydrodynamic radius.
Sophia Bird +8 more
wiley +1 more source
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 +3 more
wiley +1 more source
Evaluating Embedded Monte Carlo vs. Total Monte Carlo for Nuclear Data Uncertainty Quantification [PDF]
The purpose of this paper is to compare a new method called Embedded Monte Carlo (EMC) to the well-known Total Monte Carlo (TMC) method for nuclear data uncertainty propagation.
Biot Grégoire +3 more
doaj +1 more source
Scalable Thermal Engineering via Femtosecond Laser‐Direct‐Written Phononic Nanostructures
This study demonstrates that femtosecond laser‐induced periodic surface structures (fs‐LIPSS) can function as phononic metasurfaces, reducing thermal conductivity below the plain thin‐film limit. Phonon Monte Carlo analysis reveals that the periodic structures restrict phonon mean free paths.
Hiroki Hamma +4 more
wiley +1 more source
Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley +1 more source
Simulação do equilíbrio: o método de Monte Carlo Equilibrium simulation: Monte Carlo method
We make several simulations using the Monte Carlo method in order to obtain the chemical equilibrium for several first-order reactions and one second-order reaction. We study several direct, reverse and consecutive reactions.
Alejandro López-Castillo +1 more
doaj +1 more source

