Results 141 to 150 of about 279,804 (305)

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

open access: yesAdvanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu   +5 more
wiley   +1 more source

Thermal Expansion Behavior of PM6 Studied Using In Situ Wide‐Angle X‐Ray Scattering

open access: yesAdvanced Functional Materials, EarlyView.
In organic photovoltaics, small morphological changes can significantly impact performance. This study examines the thermal expansion of PM6 using in situ WAXS and GIWAXS from 30 to 300 °C. By analyzing samples of increasing complexity, factors like initial anisotropic nanoscale arrangements and substrate mismatches are quantified, revealing systematic
Meike Kuhn   +5 more
wiley   +1 more source

Two Methods for Decreasing the Computational Complexity of the MIMO ML Decoder

open access: green, 2004
Takayuki Fukatani   +2 more
openalex   +2 more sources

Selective and Precise Editing of Digital Polymers Through Parallel or Series Toehold‐Mediated Strand Displacement

open access: yesAdvanced Functional Materials, EarlyView.
A sequence‐encoded supramolecular construct containing two accessible toeholds is developed herein for enabling multiple editing operations. By introducing specific input strands, it is possible to selectively erase or rewrite digital content through parallel or series toehold‐mediated strand displacement (PTMSD or STMSD).
Jakub Ossowski   +3 more
wiley   +1 more source

A Comparison of Neural Decoding Methods and Population Coding Across Thalamo-Cortical Head Direction Cells. [PDF]

open access: yesFront Neural Circuits, 2019
Xu Z   +11 more
europepmc   +1 more source

Bioengineering a Patient‐Derived Vascularized Lung Tumor‐on‐Chip Model to Decipher Immunomodulation by the Endothelium

open access: yesAdvanced Healthcare Materials, EarlyView.
Most in vitro cancer models lack cellular diversity, functional complexity, and clinical relevance. This work highlights the generation of an innovative dynamic tetraculture with autologous patient‐derived cells within a vascularized tumor‐on‐chip, as well as the recapitulation of endothelial anergy features induced by the tumor microenvironment ...
Christine Lansche   +16 more
wiley   +1 more source

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