Results 161 to 170 of about 83,682 (305)
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu +5 more
wiley +1 more source
Information-Entropy Analysis of Stellar Evolutionary Stages with Application to FS CMa Objects. [PDF]
Zhanabaev Z, Akniyazova A, Ashimov Y.
europepmc +1 more source
Speckle interferometric observations of close binary stars [PDF]
Swapan K. Saha +3 more
openalex +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
Autism shapes social integration and reciprocity in elementary classrooms. [PDF]
Soto-Icaza P +6 more
europepmc +1 more source
A scalable biomimetic platform transforms bioinert poly(ethylene glycol) diacrylate into neuroinstructive matrices via integrating solvent transfer‐induced phase separation, microfluidics, and 3D bioprinting. Bicontinuous, hyperbolically curved microporous networks embedded within a fibrous construct elicit rapid adhesion, robust proliferation, and ...
Prince D. Okoro +8 more
wiley +1 more source
The Origins & Reservoirs of Exocomets. [PDF]
Bannister M +13 more
europepmc +1 more source
Asteroseismic probing of internal rotation in hot B subdwarf stars: Testing spin-orbit synchronism in two close binary systems [PDF]
V. Van Grootel +4 more
openalex +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
Employing deep-learning techniques for the conservative-to-primitive recovery in binary neutron star simulations. [PDF]
Mudimadugula R +5 more
europepmc +1 more source

