Results 191 to 200 of about 1,513,927 (352)

Photoactivation of NV Centers in Diamond via Continuous Wave Laser Illumination of Shallow As‐Implanted Nitrogen

open access: yesAdvanced Functional Materials, EarlyView.
This study demonstrates an alternative method of creating charge‐stable negatively charged nitrogen vacancy (NV−) centers close to the diamond surface without high‐temperature annealing. By illuminating nitrogen‐implanted regions with a continuous‐wave 405 nm laser, NV− centers are induced, exhibiting electron spin coherence properties suitable for ...
Jens Fuhrmann   +4 more
wiley   +1 more source

Cu‐Based MOF/TiO2 Composite Nanomaterials for Photocatalytic Hydrogen Generation and the Role of Copper

open access: yesAdvanced Functional Materials, EarlyView.
HKUST‐1/TiO2 composite materials show a very high photocatalytic hydrogen evolution rate which increases as a function of the irradiation time until reaching a plateau and even surpasses the performance of the 1%Pt/TiO2 material after three photocatalytic cycles.
Alisha Khan   +9 more
wiley   +1 more source

Wind-powered hydrogen electric systems for farm and rural use. Final report, May--December 1975

open access: green, 1976
R.R. Tison   +7 more
openalex   +2 more sources

Fast Neutron Detector Based on Hybrid 2D Perovskite Thin Films

open access: yesAdvanced Functional Materials, EarlyView.
This work presents the direct detection of fast neutrons using flexible hybrid 2D perovskite (PEA2PbBr4) thin‐film detectors. Thanks to their high low‐Z elements content and good charge transport, these materials enable efficient neutron detection. The thin film configuration allowed the operation at low voltage, and offer scalability, flexibility, and
Ilaria Fratelli   +11 more
wiley   +1 more source

Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery

open access: yesAdvanced 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

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