Results 181 to 190 of about 61,960 (294)

A Spin‐Texture Spin‐Valves With Van Der Waals Magnets

open access: yesAdvanced Science, EarlyView.
ABSTRACT All‐electrical methods for nucleating, detecting, and manipulating spin textures in 2D van der Waals (vdW) magnets can serve as fundamental building blocks for multi‐state spintronic memory, logic, and neuromorphic computing applications.
Bing Zhao   +3 more
wiley   +1 more source

Bandgap‐Dependent Doping of Semiconducting Carbon Nanotube Networks by Proton‐Coupled Electron Transfer for Stable Thermoelectrics

open access: yesAdvanced Electronic Materials, EarlyView.
Proton‐coupled electron transfer doping with benzoquinone is applied to p‐dope dense films of semiconducting single‐walled carbon nanotubes. The doping efficiency depends on the pH of the doping solution and the bandgap of the nanotubes. The highest conductivities and power factors are achieved for small‐bandgap nanotubes, remaining stable for over 120
Angus Hawkey   +5 more
wiley   +1 more source

Chirality-Driven Electronic, Mechanical, and Hydrogen Adsorption Properties of Dodecanophene Nanotubes. [PDF]

open access: yesACS Omega
Gomez Quispe JR   +4 more
europepmc   +1 more source

Topological Materials and Related Applications

open access: yesAdvanced Electronic Materials, EarlyView.
This review covers topological materials—including topological insulators, quantum valley Hall and quantum spin Hall insulators, and topological Weyl and Dirac semimetals—as well as their most recent advancements in fields such as spintronics, electronics, photonics, thermoelectrics, and catalysis.
Carlo Grazianetti   +9 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

Deep Learning‐Assisted Design of Mechanical Metamaterials

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong   +5 more
wiley   +1 more source

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