Results 121 to 130 of about 20,962 (291)
Simulation of non-periodics flows using the fourier pseudo-spectral and immersed boundary methods
Modern engineering increasingly requires the comprehension of phenomena related to combustion, aeroacustics, turbulence transition, among others. For these purposes the Computational Fluids Dynamics (CFD) requires the used high order methods.
Mariano, Felipe Pamplona
core
The present paper describes the observations and measurements of the infrared absorption spectra of CO2 on the Earth's surface with OP/FTIR method by employing a mid-infrared reflecting scanning Fourier transform spectrometry, which are the first results
Yu Tao +5 more
core +1 more source
CeO2‐x/Pt single‐atom nano‐island is constructed via low‐temperature reduction, featuring abundant oxygen vacancies and an island–sea structure. It delivers outstanding multi‐enzyme‐mimetic activity and ROS‐scavenging efficiency. Density functional theory reveals optimized electronic structures and reaction pathways.
Yang Zhu +12 more
wiley +1 more source
Benchmarking the Non-Paraxial Beam Propagation Method for Deep-Tissue Microscopy
This study evaluates the accuracy and computational efficiency of the Beam Propagation Method (BPM) for modeling light propagation in microscopy of biological tissue.
Praveen Kalarickel Ramakrishnan +2 more
doaj +1 more source
Pricing Early-Exercise and Discrete Barrier Options by Fourier-Cosine Series Expansions
We present a pricing method based on Fourier-cosine expansions for early-exercise and discretely-monitored barrier options. The method works well for exponential Levy asset price models. The error convergence is exponential for processes characterized by
Fang, Fang, Oosterlee, Kees
core
The fundamental nature of anion storage in p‐type organic cathodes is elucidated using rigid poly(arylamine) frameworks. This study reveals a hybrid covalent‐ionic mechanism for anion‐π+ interactions, driven by synergistic orbital hybridization and electrostatic attraction.
Tiantian She +7 more
wiley +1 more source
This perspective proposes a cohesive machine learning strategy to decode microplastic aging. It advocates for Federated Learning to dismantle global data silos and introduces the TRACE framework (TRansport, Aging, Corona, Ecotoxicity). By integrating physics‐informed modeling with causal discovery, this approach bridges the laboratory‐field gap to ...
Yaping Lyu +6 more
wiley +1 more source
Leveraging Machine Learning Approaches to Decode Hive Sounds for Stress Prediction
Beekeeping plays a vital role in preserving ecosystems through pollination and increasing biodiversity. Effective monitoring of honeybee health and hive conditions is essential to balance bee populations and their environment.
Saba Mustafa +3 more
doaj +1 more source
We report a robust aerogel digital biosensor by integrating an enzyme‐mediated amorphous MOF within an aerogel matrix for on‐site pesticide detection. The enzyme‐mediated assembly strategy enables in situ tailoring of MOF into a porous amorphous structure, achieving both high stability and activity.
Changshun Su +7 more
wiley +1 more source
An interfacial proton‐relay microenvironment at MoS2‐CuCl heterostructures enables selective O2 activation to 1O2 under neutral conditions. Electron‐deficient sulfur sites mediate proton transfer to Cu‐bound O2, accelerating *OOH hydrogenation while suppressing O─O bond cleavage, achieving stable, efficient pollutant removal.
Qiaoyu Gao +9 more
wiley +1 more source

