Results 91 to 100 of about 6,652 (252)
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
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
A quasi-Z-source network is used to boost the DC bus voltage of a voltage source two-level H-bridge inverter to increase the voltage gain. With the increase in the DC bus voltage, the common mode voltage (CMV) also increases.
Nanda Debalina +2 more
doaj +1 more source
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source
Neutral Point Clamped Three-Level Inverters (NPC-3LI) are widelyused in dc to ac power conversion due to their superior waveform quality and reduced voltage stress compared to two-level inverters.
Deliang Wu +4 more
doaj +1 more source
Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics
A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha +2 more
wiley +1 more source
Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang +9 more
wiley +1 more source
At the genomic level, a large number of differentially expressed genes (DEGs) and aging‐related DEGs have been screened. Ten hub genes, such as IFNγ and IRF7, have been identified and shown potential value in the diagnosis of PD, holding promise as novel biomarkers to facilitate early and precise diagnosis.
Haojie Wu +3 more
wiley +1 more source
Moiré Folded Helical States at the Interfaces of Heterostructures
This manuscript explores a minimal ladder model of a graphene‐topological‐insulator heterostructure where moiré superlattices modulate Rashba spin‐orbit coupling. The study reveals that SOC lifs spin degeneracy, halves spectral periodicity, and induces “helicity fragmentation” across moiré minibands.
Paula Mellado
wiley +1 more source
Guiding and Manipulating Light Fields in Microstructured Liquid Crystals
This review summarizes recent advances in guided‐wave optics enabled by microstructured liquid crystal (LC) devices, covering their fundamental material properties, key degree of freedom for dynamic light field manipulations. The advances of linear guided‐wave optics, nonlinear‐optics with spatial optical solitons, and microlasers in LC‐based devices ...
Shan‐shan Chang +2 more
wiley +1 more source

