Results 181 to 190 of about 145,999 (267)

Titanium Suboxides Responsible for Electronic Anomaly Near Room Temperature in the Ti3C2Tx MXene

open access: yesAdvanced Functional Materials, EarlyView.
Our multi‐technique study reveals that the near‐room‐temperature anomaly in Ti3C2Tx MXene is linked to titanium suboxide nanodomains, including Ti3O5, embedded within the MXene host. Their temperature‐driven transformation provides an alternative explanation to solvent‐ and swelling‐based models and offers new insight into the thermally activated ...
Bence G. Márkus   +8 more
wiley   +1 more source

C3‑Symmetric Indole-Based Truxenes: Design, Synthesis, and Photophysical Studies

open access: yesACS Omega
Shakeel Alvi   +5 more
doaj   +1 more source

Interfacial Adsorption Engineering Enables a Highly Utilized Zinc Anode With 99.9% Coulombic Efficiency

open access: yesAdvanced Functional Materials, EarlyView.
When hydrated zinc ions are deposited onto Cu substrates at practical current densities, the modified Cu enables simultaneously compact zinc growth and suppressed hydrogen evolution. This regulatory effect originates from the superior adsorption of the modified Cu interface, which enhances zincophilicity and the hydrogen desorption barrier, thereby ...
Zhe Zhu   +8 more
wiley   +1 more source

Moving Beyond Oligoethers: Polar Side‐Chain Engineering for Aqueous Mixed Ionic–Electronic Conductors

open access: yesAdvanced Functional Materials, EarlyView.
We investigate how side‐chain chemistry and hydrogen bonding affect electrochemical doping in poly(propylenedioxythiophene) polymers. Replacing oligoether side chains with hydroxyl or carboxylic acid groups nearly triples electrochemical conductivity.
Joshua M. Rinehart   +5 more
wiley   +1 more source

Integrated Field‐Free SOT Domain‐Wall Synapses and MTJ Stochastic Neurons for Hardware Boltzmann Machines

open access: yesAdvanced Functional Materials, EarlyView.
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone   +8 more
wiley   +1 more source

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