Results 181 to 190 of about 890,281 (238)
A coacervate charged polymer network is designed to regulate Coulomb interactions for stabilizing silicon anodes. By tuning electrostatic interactions, the binders enhance adhesion, stress dissipation, and interfacial stability. The binder with the strongest Coulomb interactions enables high areal capacities and stable full‐cell cycling with Ni‐rich ...
Dong‐Yeob Han +7 more
wiley +1 more source
Recycling of Thermoplastics with Machine Learning: A Review
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque +5 more
wiley +1 more source
Advances in integrating artificial intelligence into 3D bioprinting are systematically reviewed here. Machine learning, computer vision, robotics, natural language processing, and expert systems are examined for their roles in optimizing bioprinting parameters, real‐time monitoring, quality control, and predictive maintenance.
Joao Vitor Silva Robazzi +10 more
wiley +1 more source
An entropy‐tuned niobium‐based oxide (ETNO) anode for fast‐charging lithium‐ion batteries are presented, engineered via multi‐cation doping. The synergistic effects of entropy tuning result in excellent rate capability and long‐term durability under ultrafast charging conditions.
Yoojin Ahn +6 more
wiley +1 more source
Next‐Generation Bio‐Reducible Lipids Enable Enhanced Vaccine Efficacy in Malaria and Primate Models
Structure–activity relationship (SAR) optimization of bio‐reducible ionizable lipids enables the development of highly effective lipid nanoparticle (LNP) mRNA vaccines. Lead LNPs show superior tolerability and antibody responses in rodents and primates, outperforming approved COVID‐19 vaccine lipids.
Ruben De Coen +30 more
wiley +1 more source
Deep Reinforcement Learning-Graph Neural Networks-Dynamic Clustering triplet for Adaptive Multi Energy Microgrid optimization [PDF]
Tessel Kaal, Azarakhsh Rafiee
openalex +1 more source
Charge carrier concentration and mobility in TiO2, ZrO2, and HfO2 powder films are experimentally mapped as a function of temperature. The results uncover polaron‐mediated transport regimes and field‐activated conduction, enabling the design of oxide‐based electronic and energy devices with thermally tunable functionality.
Beatriz Moura Gomes +3 more
wiley +1 more source
On Energy of Prime Ideal Graph of A Commutative Ring Associated with Seidel-Based Matrices
Mamika Ujianita Romdhini
openalex +1 more source

