Results 91 to 100 of about 33,716 (264)
Abstract Transformer‐based molecular models pretrained on SMILES strings demonstrate strong performance in property prediction. However, these model often lack explicit integration of molecular surface charge distributions that govern intermolecular interactions such as hydrogen bonding and polarity.
Tae Hyun Kim +2 more
wiley +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Pseudocapacitance-based charge increase in MoS2/C
The electrochemical behavior of MoS2/C composite in aqueous electrolytes was investigated using a three-electrode electrochemical cell. It was established that the studied system demonstrates the reversibility of redox processes, indicating the ...
I.M. Budzuliak +4 more
doaj +1 more source
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj +2 more
wiley +1 more source
HTFC gets 3D refractive index tomograms of flowing cells. Label‐free monocytes are engineered to express patterns of cytoplasmic vacuoles. From the tomogram, an efficient dimensionality reduction is operated. Interpretable features are extracted to classify the expression severity of phenotypes coexisting in each cell, visually represented by a seven ...
Marika Valentino +9 more
wiley +1 more source
Abstract Premise Changing climates are leading to more frequent and severe heat waves, potentially threatening plant populations. Both acclimation to stress and selection for heat‐escape or heat‐resistance phenotypes occur during heat waves. However, plastic responses and selection do not necessarily interact cohesively—even producing trait responses ...
Lana F. Gaspard +4 more
wiley +1 more source
Assessment of Hydrate Prediction Software for MEG–Water–NaCl Systems
ABSTRACT This study evaluates the performance of three industry‐standard simulation tools—Aspen HYSYS (V14), Multiflash (V7.5), and OLGA (V2024.1)—by comparing predicted hydrate dissociation temperatures with experimental data obtained from a PVT sapphire cell.
Carys M. Bloomfield +2 more
wiley +1 more source
Polarized microscopic images of the outer bone cortex (a and b) and deeper trabecular bone (c and d) of the deer calcaneus in thin cross‐sections. The brighter gray levels reflect more oblique‐to‐transverse collagen fibers in the compression/dorsal bone (a, c) and the darker gray levels reflect more longitudinal collagen in the tension/plantar bone (b,
John G. Skedros +3 more
wiley +1 more source
Objective Low copy number (CN) of complement C4 isoforms and high CN of retroviral HERV‐K elements are known risk factors for many immune‐mediated inflammatory diseases (IMIDs), often showing sex‐biased effects. Here, we assessed whether CN variation within the C4 gene contributes to giant cell arteritis (GCA) and IgA vasculitis (IgAV), two complex ...
Laura Martínez‐Gutiérrez +295 more
wiley +1 more source
A microelectrochemical analytical tool is proposed for the accelerated evaluation of the intrinsic electrochemical performance of Prussian‐blue analogues as solid active materials in Na+‐based batteries. By confining the solid active material inside a recessed microelectrode, accelerated voltammetric and galvanostatic cycling at high C‐rate become ...
Nomnotho Jiyane +9 more
wiley +1 more source

