Results 191 to 200 of about 278,341 (297)
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
Resuscitation of dogs from severe acute carbon monoxide poisoning
Esther M. Killick, Jean V. Marchant
openalex +2 more sources
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
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
VENESECTION AND BLOOD TRANSFUSION IN CARBON MONOXIDE POISONING [PDF]
Charles Gordon‐Watson
openalex +1 more source
Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects
This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios +4 more
wiley +1 more source
Equidistant stacking of radicals is typically unstable due to symmetry‐lowering distortions. We predict that such arrangements can be stabilized by multicentered covalent (“pancake”) bonding and Coulombic repulsion between negatively charged radicals.
Alvaro Lobato +2 more
wiley +2 more sources
Addendum: Continuous Spectra and OH Absorption in Carbon Monoxide-Oxygen Explosions [PDF]
George A. Hornbeck
openalex +1 more source
R‐APEX is a knowledge graph platform developed to investigate how air pollutants such as particularly fine particulate matter (PM2.5) affect human health. By integrating large‐scale biomedical data and using machine learning, it reveals pollutant–gene–disease associations.
Zhixing Zhu +7 more
wiley +1 more source
Submolecular‐Resolution Probing of Vibrational Anharmonicity Using Tip‐Enhanced Raman Spectroscopy
This work explores how tip‐enhanced Raman spectroscopy achieves submolecular resolution in detecting vibrational overtones and combination bands. This breakthrough reveals site‐specific anharmonicities and energy transfer pathways within single molecules, advancing chemical analysis with unprecedented spatial and spectral detail.
Youngwook Park +3 more
wiley +2 more sources

