Results 221 to 230 of about 2,797,503 (360)

Investigating the Structure–Function Relationships of Fluorinated Interfaces for PFAS Capture and Electrochemically‐Mediated Release

open access: yesAdvanced Functional Materials, EarlyView.
This study explores the use of fluorinated copolymers with varying fluorophilic side chain lengths to enhance PFAS affinity. The integration of electrochemical techniques demonstrates enhanced adsorbent regeneration, with molecular dynamics simulations providing insight into the molecular‐level interactions involved.
Anaira Román Santiago   +7 more
wiley   +1 more source

Supercompliant Lattice Boosts n‐type AgSbTe2 Thermoelectrics

open access: yesAdvanced Functional Materials, EarlyView.
The supercompliant lattice design enables the first realization of n‐type electrical transport in AgSbTe2 by overcoming intrinsic electron‐killer defects and exceeding the doping limits imposed by the conventional Hume–Rothery rule. Accordingly, the best performance n‐type Ag0.8Na0.3Sb0.6Bi0.4Te2 sample achieves a low κ of 0.27 W·m−1·K−1 that ...
Ruoyan Li   +15 more
wiley   +1 more source

Automated Extraction of Road Markings from Mobile Lidar Point Clouds

open access: hybrid, 2012
Bisheng Yang   +3 more
openalex   +1 more source

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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