Results 201 to 210 of about 256,760 (299)
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source
A nucleic acid labeling chemistry reveals surface DNA on exosomes. [PDF]
Bošković F +4 more
europepmc +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
Comparative Analysis of Alcohol and Aldehyde Dehydrogenase Activities in Prostate Cancer and Benign Prostatic Hyperplasia. [PDF]
Nowiński AR +5 more
europepmc +1 more source
This research demonstrates that the combination of domain knowledge–based multiple regression, multi‐objective Bayesian optimization, and generative models is a suitable prediction tool for candidates of high refractive index polymers, even with the constraints in the model trained on limited data. The experimental validation can reproduce the proposed
Takuya Yokoo +3 more
wiley +1 more source
Ethyl gallate as an unexplored organocatalyst: unlocking sustainable routes to isoxazolones. [PDF]
Bhattacharjee S, Basak P, Ghosh P.
europepmc +1 more source
Accidents in the Chemical Industry: A Scoping Review Focused on Causal Factors
ABSTRACT Background Although occupational safety in the chemical industry is an area of ongoing research worldwide, chemical incidents continue to occur, indicating the need to review the causes, assist in safety management, and identify problems in the quality of reporting. Methods A systematic search of studies published in English between January 1,
Željka Babić +7 more
wiley +1 more source
Functional Specialization of Respiratory and Olfactory Mucus Revealed by Proteomic Profiling
ABSTRACT Background Mucus overlies the nasal mucosa in the respiratory and olfactory regions, which perform distinct physiological functions. However, proteomic differences between respiratory mucosa (RM) and olfactory cleft (OC) mucus remain unclear.
Anna Kristina Hernandez +7 more
wiley +1 more source

