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
Integrating Extracellular Matrix Dynamics and Membrane-Associated Signaling: The Role of Clusterin-LRP1 Network in Cancer Cell Migration and Tumor Progression. [PDF]
Ciringione A +4 more
europepmc +1 more source
Deep learning‐based denoising models are applied to DNA data storage systems to enhance error reduction and data fidelity. By integrating DnCNN with DNA sequence encoding methods, the study demonstrates significant improvements in image quality and correction of substitution errors, revealing a promising path toward robust and efficient DNA‐based ...
Seongjun Seo +5 more
wiley +1 more source
Transcriptomic validation of a 7,12 Dimethylbenz(a)anthracene (DMBA)-induced leukemia rat model: Parallels with human leukemogenesis. [PDF]
Alsamman K, El-Masry OS.
europepmc +1 more source
Wavelength-Dependent Modulation of Mesenchymal Stem Cell Fate: A Systems Biology Framework for Tissue Repair and Regenerative Medicine. [PDF]
Amouroux B +6 more
europepmc +1 more source
Integrative Analysis of Abiotic Stress-Responsive Genes in Soybean Using Differential Gene Expression and Validation With Machine Learning. [PDF]
Hajibarat Z, Saidi A.
europepmc +1 more source
Mapping metabolic reprogramming in lung and breast cancer through integrative bioinformatics. [PDF]
Al-Damook N +4 more
europepmc +1 more source
Integrated Molecular Docking and Network-Based Analysis Reveals Multitarget Interaction Patterns of Nutraceutical Compounds in Intervertebral Disc Degeneration. [PDF]
Guner E +5 more
europepmc +1 more source

