Results 241 to 250 of about 1,698,103 (335)

Spin‐State Manipulation of Atomic Manganese Center by Phosphide‐Support Interactions for Enhanced Oxygen Reduction

open access: yesAdvanced Materials, EarlyView.
The electronic configuration of Mn single‐atom sites is regulated from low‐spin to high‐spin states by embedding well‐defined molybdenum phosphide nanocrystals nearby (MoP@MnSAC‐NC). The electronic phosphide‐support interaction between MoP and Mn single atoms drives the electronic structure transition in Mn sites from low‐spin to high‐spin states, and ...
Zuyang Luo   +9 more
wiley   +1 more source

A new approach combining a whole-slide foundation model and gradient boosting for predicting BRAF mutation status in dermatopathology. [PDF]

open access: yesComput Struct Biotechnol J
Albahri M   +6 more
europepmc   +1 more source

Electrochemical Cell Designs for Efficient Carbon Dioxide Reduction and Water Electrolysis: Status and Perspectives

open access: yesAdvanced Materials, EarlyView.
This review discusses recent innovations in electrochemical CO2 reduction reactions (eCO2RR) and hydrogen evolution reaction cell designs. The latest advancements in in situ cells for operando characterization are also presented. Optimizations in flow patterns, membrane electrode assemblies, electrolyte engineering, and counter‐anodic reactions provide
Zhangsen Chen   +3 more
wiley   +1 more source

Fabrication of Organic/Inorganic Nanocomposites: From Traditional Synthesis to Additive Manufacturing

open access: yesAdvanced Materials, EarlyView.
It provides an overview of the synthesis of organic/inorganic nanocomposites, spanning from conventional methods to advanced 3D printing techniques. It summarizes key challenges in 3D‐printed nanocomposites and highlights emerging innovations, including 5D printing, AI‐assisted material design, nanoscale additive manufacturing, and sustainable closed ...
Liwen Zhang   +8 more
wiley   +1 more source

AI‐Driven Defect Engineering for Advanced Thermoelectric Materials

open access: yesAdvanced Materials, EarlyView.
This review presents how AI accelerates the design of defect‐tuned thermoelectric materials. By integrating machine learning with high‐throughput data and physics‐informed representations, it enables efficient prediction of thermoelectric performance from complex defect landscapes.
Chu‐Liang Fu   +9 more
wiley   +1 more source

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