Results 171 to 180 of about 184,160 (258)

Giant Magnetic Coercivity Driven by Spin‐Bag Ferromagnetism in Epitaxial Sr3YCo4O10+δ Films with Engineered 2D Oxygen Vacancy Ordering

open access: yesAdvanced Functional Materials, EarlyView.
A giant magnetic coercivity and a vertical shift of hysteresis loops are demonstrated in Sr3YCo4O10+δ epitaxial films. The hard magnetic behavior originates from ferromagnetic spin bags stabilized within a long‐range ordered oxygen‐vacancy structure.
Yanbin Chen   +12 more
wiley   +1 more source

Optical Signature of Moiré Superlattices Formed by Twisted SrTiO3 Membranes

open access: yesAdvanced Functional Materials, EarlyView.
We discover optical signatures from bonded interfaces in twisted SrTiO3 moiré superlattices, including low‐frequency Raman vibrational modes and strong second‐harmonic generation, consistent with strong interlayer coupling inferred from cross‐sectional electron microscopy and ab initio calculations. ABSTRACT Moiré superlattices formed at the interfaces
T. A. M. Ragib Shahriar   +13 more
wiley   +1 more source

Direct FFT oversampling without zero-padding. [PDF]

open access: yesSci Rep
Donciu C, Temneanu MC, Serea E.
europepmc   +1 more source

Electrospun Wood‐Derived Biopolymers as Electrodes in Electrochemical Energy Storage Technologies

open access: yesAdvanced Functional Materials, EarlyView.
Electrospinning transforms wood‐derived cellulose and lignin into architecturally defined, binder‐free carbon electrodes with tuneable porosity and functionality. This review shows how fibre design enables decoupled charge and mass transport, enhancing performance across battery systems, while identifying key challenges in spinnability, scalability ...
Michael W. Thielke   +3 more
wiley   +1 more source

Implantable Ionic Memristors Based on Natural Polymer Heterojunctions

open access: yesAdvanced Functional Materials, EarlyView.
We report an implantable natural polymer‐based ionic memristor composed of hyaluronic acid, chitosan, and PDMS. The device achieved 98.94% accuracy in MNIST classification while reducing training time by 36.8% compared with a conventional artificial neural network (ANN).
Dong‐yup Lee   +6 more
wiley   +1 more source

Performance Enhancement of Tin Chloride‐Incorporated Ferroelectric Polymer‐Based Artificial Synapse for Hardware Neural Networks

open access: yesAdvanced Functional Materials, EarlyView.
This paper proposes a highly efficient ferroelectric artificial synapse device based on an oxide semiconductor and SnCl2‐inserted P(VDF‐TrFE) gate dielectric layer. This FeFET significantly improved the synaptic performance due to the ion‐dipole interaction.
Hyun‐Soo Kim   +14 more
wiley   +1 more source

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