Results 231 to 240 of about 155,944 (269)
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz +3 more
wiley +1 more source
A robust LightGBM model for concrete tensile strength forecast to aid in resilience-based structure strategies. [PDF]
Daniel C.
europepmc +1 more source
This review highlights recent advances in label‐free optical biosensors based on 2D materials and rationally designed mixed‐dimensional nanohybrids, emphasizing their synergistic effects and novel functionalities. It also discusses multifunctional sensing platforms and the integration of machine learning for intelligent data analysis.
Xinyi Li, Yonghao Fu, Yuehe Lin, Dan Du
wiley +1 more source
Effect of Cocos nucifera oil on tensile strength of two different tissue conditioners at different time intervals. [PDF]
Gupta P +5 more
europepmc +1 more source
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva +9 more
wiley +1 more source
Optimizing the Tensile Strength of Weld Lines in Glass Fiber Composite Injection Molding. [PDF]
Uyen TMT +5 more
europepmc +1 more source
This work presents the first example of multifunctional protein eutectogels based on a tannic acid: betaine low‐transition‐temperature mixture, exhibiting elastomeric behavior, strong adhesion to various substrates, including biological tissues, and notable anti‐inflammatory properties derived from the natural polyphenol and zwitterion.
Sergio Martin‐Saldaña +8 more
wiley +1 more source
Energy Consumption Prediction of Additive Manufactured Tensile Strength Parts Using Artificial Intelligence. [PDF]
Ulkir O, Bayraklılar MS, Kuncan M.
europepmc +1 more source

