Results 171 to 180 of about 146,093 (283)

Thickness‐Driven Modulation of Electronic Transport in SnSe2‐grown Films by Low‐Temperature Atomic Layer Deposition

open access: yesAdvanced Electronic Materials, EarlyView.
Low‐temperature ALD enables scalable growth of SnSe2 films with precise thickness and crystallinity control, essential for nanoelectronics. Using a reactive Se precursor, films transition from nearly defect‐free single crystals (∼20 nm) to polycrystalline (∼100 nm) with thickness, directly impacting transport properties.
Alejandra Ruiz‐Clavijo   +14 more
wiley   +1 more source

Advancing Energy Materials by In Situ Atomic Scale Methods

open access: yesAdvanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss   +21 more
wiley   +1 more source

Adaptations for stealth in the wing-like flippers of a large ichthyosaur. [PDF]

open access: yesNature
Lindgren J   +23 more
europepmc   +1 more source

Copper Contact for Perovskite Solar Cells: Properties, Interfaces, and Scalable Integration

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
Copper electrodes, as low‐cost, scalable contacts for perovskite solar cells, offer several advantages over precious metals such as Au and Ag, including performance, cost, deposition methods, and interfacial engineering. Copper (Cu) electrodes are increasingly considered practical, sustainable alternatives to noble‐metal contacts in perovskite solar ...
Shuwei Cao   +4 more
wiley   +1 more source

Learning Optimal Crowd Evacuation from Scratch Through Self‐Play

open access: yesAdvanced Intelligent Systems, EarlyView.
How would a superintelligent crowd behave in emergencies? This study develops an approach using multiagent deep reinforcement learning combined with self‐play to discover optimal evacuation strategies for pressure‐aware agents. The model learns behaviors such as queuing and zipper‐merging that significantly surpass traditional approaches in fatality ...
Mahdi Nasiri   +3 more
wiley   +1 more source

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