Results 191 to 200 of about 3,684,752 (344)
Advanced Functional Materials, EarlyView.This study examines how manufacturing uncertainties in Curie temperatures (1.5–2°C) affect multilayer active magnetic regenerators (AMR). While increasing the number of magnetocaloric layers boosts cooling power, performance degrades due to temperature variations.
Urban Tomc +6 more
wiley +1 more source
Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery
Advanced Functional Materials, EarlyView.This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer +10 more
wiley +1 more source
Advanced Functional Materials, EarlyView.[001]‐oriented Sb2Se3 film with improved crystallinity and adjusted composition is achieved via a new thermal treatment approach consisting of preliminary annealing of the Sb layer before its selenization. The findings of this work demonstrate enhanced charge carriers' transportation, a stable performance, and an improvement of H2 generation from ...
Magno B. Costa +7 more
wiley +1 more source
Applying graph database technology for analyzing perturbed co-expression networks in cancer. [PDF]
Database (Oxford), 2020 Simpson CM, Gnad F.
europepmc +1 more source
Spatiotemporal graph queries on geographic databases under a conceptual abstraction scale [PDF]
, 2014 Panagiotis Partsinevelos +2 more
openalex +1 more source
Advanced Functional Materials, EarlyView.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
Recycling of Thermoplastics with Machine Learning: A Review
Advanced Functional Materials, EarlyView.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
Graph databases methodology and tool supporting index/store versioning [PDF]
, 2015 Pierfrancesco Bellini +3 more
openalex +1 more source
Advanced Functional Materials, EarlyView.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