Results 261 to 270 of about 475,004 (344)

Crossover Effects of Transition‐Metal Ions on Lithium‐Metal Anode in Localized High Concentration Electrolytes

open access: yesAdvanced Functional Materials, EarlyView.
This study highlights the impact of transition‐metal (TM) ions (Ni2⁺, Mn2⁺, Co2⁺) on the performance of lithium‐metal anode in localized high‐concentration electrolytes. Mn2⁺ and Co2⁺ destabilize SEI and CEI layers, causing capacity fade and overpotential, while Ni2⁺ shows minimal effects. These findings underscore the need for electrolyte optimization
Zezhou Guo   +2 more
wiley   +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

A study on postural load of squatting posture

open access: yesThe Japanese journal of ergonomics, 1994
Haruhiko Sato, Ryo Inabayashi
openaire   +3 more sources

Plasma‐Treated Hydrogel for Combined RONS and Chemotherapy Delivery: A Proof‐of‐Concept In Ovo

open access: yesAdvanced Functional Materials, EarlyView.
This study explores plasma‐treated hydrogels (PTH) as a new way to deliver both reactive oxygen and nitrogen species and chemotherapy (Doxorubicin) directly to tumors. In ovo tests show effects after a single dose, especially in osteosarcoma tumors. Tumor weight decrease, and a resistance‐related protein is reduced.
Milica Živanić   +9 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

Atomic Size Misfit for Electrocatalytic Small Molecule Activation

open access: yesAdvanced Functional Materials, EarlyView.
This review explores the application and mechanisms of atomic size misfit in catalysis for small molecule activation, focusing on how structural defects and electronic properties can effectively lower the energy barriers of chemical bonds in molecules like H2O, CO2, and N2.
Ping Hong   +3 more
wiley   +1 more source

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