Results 131 to 140 of about 550,146 (278)
Dual Resonant Plasmonic Infrared Pixels for Selective Optical Encoding
This study presents dual‐resonant plasmonic nanostructures for advanced optical encoding in the mid‐infrared. By optimizing plasmonic resonances in nano‐antennas within ring cavities, selective and simultaneous tunability in both the MWIR and LWIR regions is achieved.
Goekalp Engin Akinoglu+4 more
wiley +1 more source
This review highlights recent advancements in 3DP techniques that incorporate emerging multifunctional SMP materials for applications in e‐electronics, soft actuators, biomedical devices, and more. Abstract Shape memory polymers (SMP) have recently gained significant attention as multifunctional materials for flexible and wearable electronics ...
Muhammad Yasir Khalid+4 more
wiley +1 more source
Correction: A blood test-based machine learning model for predicting lung cancer risk. [PDF]
Schwartz L+7 more
europepmc +1 more source
New theoretical model for vertical contact and separation mode triboelectric nanogenerator is proposed. Detailed derivation process and results are discussed. Numerical solutions and parametric studies are presented. Calculated results are validated by experimental outcomes.
Seokjin Kim+2 more
wiley +1 more source
Corrigendum: "Causal Mediation Analyses for the Natural Course of Hepatitis C: A Prospective Cohort Study" [J Epidemiol 35(1) (2025) 21-29]. [PDF]
Huang YT+6 more
europepmc +1 more source
MATHEMATICS DIVISION ANNUAL PROGRESS REPORT FOR PERIOD ENDING DECEMBER 31, 1963
openalex +2 more sources
A New Scheme for Multiple-Choice Tests in Lower-Division Mathematics [PDF]
Bruce R. Johnson
openalex +1 more source
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz+5 more
wiley +1 more source
Topological modeling and QSPR based prediction of physicochemical properties of bioactive polyphenols. [PDF]
Hakeem A+6 more
europepmc +1 more source