Results 141 to 150 of about 1,612,043 (238)

Unveiling Surface Species Formed on Ni‐Fe Spinel Oxides During the Oxygen Evolution Reaction at the Atomic Scale

open access: yesAdvanced Science, EarlyView.
≈1 nm thick amorphous layer with a higher oxygen concentration is formed on the surfaces of pristine P‐doped NiFe2O4 and activated NiFe2O4. Such surface layer is thought to significantly promote the charge transfer kinetics compared to the oxyhydroxide layer grown on Ni1.5Fe1.5O4 during the oxygen evolution reaction. Abstract Optimizing electrocatalyst
Weikai Xiang   +6 more
wiley   +1 more source

Computational and AI‐Driven Design of Hydrogels for Bioelectronic Applications

open access: yesAdvanced Electronic Materials, EarlyView.
This review highlights the role of AI in advancing hydrogel design for bioelectronics, exploring natural, and synthetic gels tailored for applications like wound healing, biosensing, and tissue engineering. It emphasizes the synergy between hydrogels, electronics, and AI in creating responsive, multifunctional systems, showcasing recent innovations ...
Rebekah Finster   +2 more
wiley   +1 more source

Ohmic Response in BiFeO3 Domain Walls by Submicron‐Scale Four‐Point Probe Resistance Measurements

open access: yesAdvanced Electronic Materials, EarlyView.
Lateral transport measurements of multiferroic domain walls (DWs) in BiFeO3 thin films employing a novel, lithography‐free method are presented. Using a submicron‐scale multi‐point probe (MPP), ohmic DW conduction behavior is demonstrated, including the first collinear, four‐point resistivity value of a single DW, free of contact resistances.
Jan L. Rieck   +8 more
wiley   +1 more source

The Fermionic Massless Modular Hamiltonian. [PDF]

open access: yesCommun Math Phys
La Piana F, Morsella G.
europepmc   +1 more source

Toward High‐Performance Electrochemical Energy Storage Systems: A Case Study on Predicting Electrochemical Properties and Inverse Material Design of MXene‐Based Electrode Materials with Automated Machine Learning (AutoML)

open access: yesAdvanced Electronic Materials, EarlyView.
This study demonstrates PyCaret's AutoML framework for predicting the electrochemical and structural properties of MXene‐based electrodes, including intercalation voltage, capacity, and lattice constants. AutoML streamlines workflows, ranks key elemental descriptor, and enables inverse molecular formula prediction based on performance targets.
Berna Alemdag   +3 more
wiley   +1 more source

A Review of Ga₂O₃ Heterojunctions for Deep‐UV Photodetection: Current Progress, Methodologies, and Challenges

open access: yesAdvanced Electronic Materials, EarlyView.
This paper provides a comprehensive review of the existing literature related to the fundamentals of gallium oxide (Ga2O3), growth methods, substrates, and particularly a focused examination of Ga2O3‐based heterojunctions. Particular attention has also been given to the state‐of‐the‐art Ga2O3‐based heterojunctions for photodetectors. The key challenges
Alfred Moore   +4 more
wiley   +1 more source

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