Results 201 to 210 of about 8,079,144 (302)

Physics-Constrained Transfer-Matrix Optimization of Diffused Regions in Bifacial <i>p</i>⁺-<i>n</i>-<i>n</i>⁺ Crystalline-Silicon Solar Cells. [PDF]

Nanomaterials (Basel)
Ferrada P, Portillo C.
europepmc   +1 more source

Quantitative Partitioning of Photoautotrophic and Photoheterotrophic Contributions During Mixotrophic Growth of Scenedesmus obliquus

Biotechnology and Bioengineering, EarlyView.
Carbon and oxygen fluxes during photoautotrophic, photoheterotrophic and mixotrophic growth of Scenedesmus obliquus. ABSTRACT Mixotrophic growth of microalgae involves the simultaneous assimilation of inorganic and organic carbon sources, but the quantitative contributions of photoautotrophic and photoheterotrophic metabolisms remain poorly resolved ...
Solène Jahan, Thibault Combroux, Samy Kemel, Hélène Marec, Mariana Titica, Howard Fallowfield, Jérémy Pruvost, Guillaume Cogne   +7 more
wiley   +1 more source

Prediction of experimental excited‐state absorption spectra by using vibronic transition calculations: Its practical application to a π‐conjugated molecule

Bulletin of the Korean Chemical Society, EarlyView.
Excited‐state absorption (ESA) spectra are notoriously hard to compute. We show that routine DFT and TDDFT vibronic transition calculations reproduce the vibronic band shapes and positions of azulene's experimental ESA spectrum, providing a practical route to assign ESA bands to specific electronic transitions and vibrational modes.
Joonyoung F. Joung, Sungnam Park
wiley   +1 more source

Purcell swimmer near a wall. [PDF]

Meccanica
Micalizio E, Morandotti M, Shum H, Zoppello M.   +3 more
europepmc   +1 more source

Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions

Civil Engineering Design, Volume 7, Issue 1, Page 23-35, March 2025.
Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley   +1 more source

A Hybrid Lung and Colon Histopathological Image Classification Framework Using MobileNetV3-Small Deep Features and Differential Evolution Optimization. [PDF]

Diagnostics (Basel)
Naveed MU, Jabbar S, Iqbal MM, Ahmad A, Alkhazi IS, Alghamdi M.   +5 more
europepmc   +1 more source

Geometry‐Based Neural‐Network Prediction of Electron Localization Function Topology in Dense Hydrogen

Chemistry – A European Journal, EarlyView.
We present a machine‐learning framework that predicts the electron localization function (ELF) of dense hydrogen directly from atomic geometry, bypassing explicit electronic‐structure calculations. Trained on ab initio data for fluid hydrogen across multiple pressures, the model achieves high accuracy and reveals pressure‐dependent nonlocal ...
Xiaoyu Wang, Miriam Marqués, Sergio Gómez, Francesc Serratosa, Eva Zurek, Julia Contreras‐García   +5 more
wiley   +1 more source

Twin Quadratic Polynomial Vector Fields in the Space C3

In this paper we study quadratic polynomial vector fields on C3 with 8 isolated singularities. Either two polynomial vector fields share six singularities with the same position and spectra and the remaining two singularities have some relation on their spectra, or two polynomial vector fields share five singularities with the same position and spectra
Llibre, Jaume, Valls, Clàudia
openaire   +1 more source

Simulating the Transmission of Rift Valley Fever Virus via Raw Milk Consumption in Inter-Epidemic Periods. [PDF]

Viruses
Buyukcangaz E, Tariq A, Peña-García VH, Bisanzio D, French K, Dawes BE, LaBeaud AD.   +6 more
europepmc   +1 more source

A perspective on parsimonious hybrid models for online use: Augmenting fundamental models with ARIMA disturbances

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Hybrid models (HMs) combine fundamental model (FM) equations with empirical components. These models can lead to improved predictions because they reduce process/model mismatch and can account for phenomena that are not considered in the FM equations.
Mouna Y. Harb, Kimberley B. McAuley
wiley   +1 more source