Results 151 to 160 of about 264,704 (267)

Electroactive Metal–Organic Frameworks for Electrocatalysis

open access: yesAdvanced Functional Materials, EarlyView.
Electrocatalysis is crucial in sustainable energy conversion as it enables efficient chemical transformations. The review discusses how metal–organic frameworks can revolutionize this field by offering tailorable structures and active site tunability, enabling efficient and selective electrocatalytic processes.
Irena Senkovska   +7 more
wiley   +1 more source

Premonitory phase in primary headaches: shared and divergent mechanisms in migraine and cluster headache, the Junior Editorial Board Members' vision. [PDF]

open access: yesJ Headache Pain
Wu JW   +10 more
europepmc   +1 more source

MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance

open access: yesAdvanced Functional Materials, EarlyView.
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley   +1 more source

Electroactive Liquid Crystal Elastomers as Soft Actuators

open access: yesAdvanced Functional Materials, EarlyView.
Electroactive liquid crystal elastomers (eLCEs) can be actuated via electromechanical, electrochemical, or electrothermal effects. a) Electromechanical effects include Maxwell stress, electrostriction, and the electroclinic effect. b) Electrochemical effects arise from electrode redox reactions.
Yakui Deng, Min‐Hui Li
wiley   +1 more source

MRI characteristics during attack and remission distinguish patients with MOG antibody-associated disease from multiple sclerosis. [PDF]

open access: yesJ Neurol Neurosurg Psychiatry
Syc-Mazurek SB   +14 more
europepmc   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

open access: yesAdvanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee   +17 more
wiley   +1 more source

Exciton Binding Energy Modulation in 2D Perovskites: A Phenomenological Keldysh Framework

open access: yesAdvanced Functional Materials, EarlyView.
The intrinsic screening effects are successfully decoupled from structural distortion by rigorously designing a series of 2D perovskites. This enabled us to demonstrate how the dielectric environment modulates the quasiparticle bandgap and exciton binding energy.
Kitae Kim   +15 more
wiley   +1 more source

Adversarial robust EEG-based brain-computer interfaces using a hierarchical convolutional neural network. [PDF]

open access: yesSci Rep
Samuel J   +5 more
europepmc   +1 more source

Toughening β‐Ga2O3 via Mechanically Seeded Dislocations

open access: yesAdvanced Functional Materials, EarlyView.
β‐Ga2O3 is promising for next‐generation semiconductors but its brittleness limits flexible and high‐precision applications. Here, mechanically seeded dislocations introduced by surface deformation improved damage tolerance in (001) β‐Ga2O3. Nanoindentation and characterization show dislocations suppress cleavage cracks by enabling stable plastic ...
Zanlin Cheng   +5 more
wiley   +1 more source

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