Results 151 to 160 of about 62,059 (262)
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
Functionalization reactions of styrene and styrene derivatives. [PDF]
Ding Y, Xue X, Lucan D, Liu HK.
europepmc +1 more source
Fermentation with lactic acid bacteria could improve amino acids, volatile organic compounds (VOCs), and nonvolatile metabolites of Laohan melon juice (LMJ), which provides theoretical guidance for the development of Laohan melon beverage and advances knowledge of the metabolic mechanisms of VOCs in LMJ.
Yun Xie +12 more
wiley +1 more source
Mechanistic Insights into the Photodegradation of Trityl Radicals. [PDF]
Shibata A, Abe M.
europepmc +1 more source
The Antidiabetic Potential of Alpha‐Mangostin: A Review of Preclinical and Clinical Evidence
Alpha‐mangostin is a compound from the pericarp of Garcinia mangostana. The antidiabetic effects of alpha‐mangostin include enhancing insulin secretion, improving glucose uptake through GLUT receptor upregulation, reducing oxidative stress and inflammation, promoting wound healing, reducing HbA1C, reducing HOMA‐IR index, and decreased mRNA expressions ...
Oliver Dean John +4 more
wiley +1 more source
Preparation of Silica-Based Chitosan Chiral Stationary Phases by Two Synthetic Approaches and Evaluation of Their Enantioseparation Performance by HPLC. [PDF]
Zhang X, Li B, Han X.
europepmc +1 more source
How small changes to methylated piperidinium cations impact the synthesis of zeolite SSZ‐39
Abstract Here we report a synthesis study of SSZ‐39 with four different organic structure directing agents (OSDA). The goal was to determine how subtle changes to the OSDA architecture impact crystallization kinetics, material composition, and other properties.
Onyinyechukwu Ukagha, Daniel F. Shantz
wiley +1 more source
Insights into Tetrazine-Benzene Cycloadditions. [PDF]
Demuth T, Svatunek D.
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
Metalloradical Activation of Iodonium Ylides for Catalytic Radical Cyclization via Fe(III)-Based Metalloradical Catalysis. [PDF]
Singh N, Mondal B, Pawar AB.
europepmc +1 more source

