Results 171 to 180 of about 2,604,121 (347)
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
An iron‐based, enzyme‐triggered CO‐releasing molecule (ET‐CORM) is site‐specifically conjugated to the antibody trastuzumab. This novel ET‐CORM‐antibody conjugate releases carbon monoxide upon cleavage by the tumor‐associated protease cathepsin B. The construct enables selective intracellular CO delivery to HER2‐overexpressing and CatB‐expressing cells,
Inga Černauskienė +7 more
wiley +2 more sources
Carbon monoxide levels, smoking and adverse pregnancy outcomes. [PDF]
Galka K, Shea M, Aye CYL, Impey L.
europepmc +1 more source
Machine learning predicts activation energies for key steps in the water‐gas shift reaction on 92 MXenes. Random Forest is identified as the most accurate model. Reaction energy and reactant LogP emerge as key descriptors. The approach provides a predictive framework for catalyst design, grounded in density functional theory data and validated through ...
Kais Iben Nassar +3 more
wiley +1 more source
Cryogenic Carbon Monoxide Oxidation on Cuprous Oxide
A reconstructed Cu2O surface with pyramidal units (PY) contains both adsorption and reaction sites for CO oxidation. A suite of spectroscopy techniques and calculations were used to characterize the fundamental surface chemistry occurring below 100 K, where typically a metal/oxide interface is required.
Burcu Karagoz +10 more
wiley +2 more sources
Mitochondrial calcium overload is the trigger for carbon monoxide neurotoxicity. [PDF]
Angelova PR +4 more
europepmc +1 more source
A Permeation Method for the Determination of Carbon-Monoxide in the Ambient Atmosphere.
David Bell
openalex +2 more sources
A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali +5 more
wiley +1 more source

