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
Antigen-Specific Inverse Vaccination Strategies Using Particle Systems for Multiple Sclerosis. [PDF]
Clark KA, Lukesh NR, Ainslie KM.
europepmc +1 more source
Adaptive Finite-Time Backstepping Integral Sliding Mode Control of Three-Degree-of-Freedom Stabilized System for Ship Propulsion-Assisted Sail Based on the Inverse System Method [PDF]
Sheng Liu +3 more
openalex +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
Exploring the causal pathways and mediating effects of sociopsychological factors on chronic coronary syndrome: A Mendelian randomization study. [PDF]
Li X, Wang Y, Song C, Guo X.
europepmc +1 more source
Advances in Micro/Nanofiber‐Based Porous Materials for High‐Performance Thermal Insulation
Micro/nanofiber porous materials have engendered great interest in the thermal insulation field. Herein, the structural designs, fabrication techniques, and applications of the micro/nanofiber thermal insulation materials are systematically summarized.
Xiaobao Gong +5 more
wiley +1 more source
Integrated silicon nitride devices via inverse design. [PDF]
Pita Ruiz JL, Dalvand N, Ménard M.
europepmc +1 more source
Transfer Learning-Assisted Inverse Modeling in Nanophotonics Based on Mixture Density Networks [PDF]
Liang Cheng +2 more
openalex +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

