Results 131 to 140 of about 11,298 (261)

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu   +8 more
wiley   +1 more source

Synergy of Pd Clusters and TiO2 {101} for Photocatalytic Nonoxidative Coupling of Methane

open access: yesAdvanced Science, EarlyView.
This study presents photocatalytic nonoxidative coupling of methane over cal‐Pd0.05/TiO2{101}, achieving near 100% selectivity and long‐term stability under mild flow conditions through synergistic single atoms and clusters catalysis. ABSTRACT Photocatalytic nonoxidative coupling of methane (NOCM) offers a sustainable route to valorize CH4 into C2 ...
Jianlong Yang   +2 more
wiley   +1 more source

Enamel nanocrystal misorientation increased with meat-eating and agriculture. [PDF]

open access: yesNature
Gilbert PUPA   +15 more
europepmc   +1 more source

WT1‐Targeted Oral Bifidobacterium longum Vaccine Enhances Checkpoint Blockade Efficacy in Pancreatic Cancer

open access: yesAdvanced Science, EarlyView.
Oral WT1‐targeted Bifidobacterium longum vaccine promotes WT1‐associated cellular immunity and enhances anti‐PD‐1/anti‐CTLA‐4 efficacy in pancreatic cancer. ABSTRACT Pancreatic ductal adenocarcinoma (PDAC) remains largely unresponsive to immune checkpoint inhibitors (ICI) due to its profoundly immunosuppressive tumor microenvironment.
Taiki Yamazaki   +7 more
wiley   +1 more source

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

open access: yesAdvanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan   +8 more
wiley   +1 more source

Transferable Deep Reinforcement Learning With Edge‐Contour‐Depth Fusion for Autonomous Wireless Capsule Endoscopy Navigation

open access: yesAdvanced Science, EarlyView.
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu   +16 more
wiley   +1 more source

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