Results 101 to 110 of about 85,089 (303)

Molecular Rectification: Mechanisms, Modulation Strategies, and Device Realization

open access: yesAdvanced Science, EarlyView.
This review focuses on molecular rectification, from its fundamental mechanisms and modulation strategies to device realization. It summarizes the theoretical framework, modulation strategies, fabrication techniques, characterization methods, and modeling and simulation of molecular rectifiers, while discussing challenges and future directions for ...
Junnan Guo   +8 more
wiley   +1 more source

Antioxidant and Hepatoprotective Effect of Swertiamarin on Carbon Tetrachloride-Induced Hepatotoxicity via the Nrf2/HO-1 Pathway

open access: yesCellular Physiology and Biochemistry, 2017
Background/Aims: Swertiamarin (STM), the main bioactive component in Swertia mussotii Franch (Gentianaceae), has been shown to exert hepatoprotective effects on experimental liver injury.
Tao Wu   +3 more
doaj   +1 more source

Fig. 1a STM image

open access: yes, 2017
Igor pro file used to generate the stm image in figure ...
Ben Warner (766452)
core   +1 more source

Interfacial Polarization Dynamics of Nitrile Dipoles in Organic Synaptic Transistors for Acoustic Reservoir Computing

open access: yesAdvanced Science, EarlyView.
Interfacial nitrile dipoles unlock tunable memory in organic synaptic transistors through competing polarization and relaxation. Their finite time dynamics are directly harnessed for acoustic reservoir computing, delivering 97.17% spoken digit recognition, reliable speech emotion and snoring recognition, and an ultralow event energy of only 50 aJ ...
Yutian Liu   +13 more
wiley   +1 more source

Multifunctional Vertical Bulk‐Heterojunction Transistors With Amorphous GaOx for Neuromorphic Perception‐to‐Decision

open access: yesAdvanced Science, EarlyView.
A multifunctional vertical bulk‐heterojunction transistor (MVBT) with amorphous GaOx integrates four functionalities within a single neuromorphic device. Gate‐source operation enables 254 nm deep‐ultraviolet sensing and threshold neuronal firing, whereas three‐terminal operation supports broadband UV–vis‐NIR synaptic functions and bias‐controlled ...
Jinkui Si   +12 more
wiley   +1 more source

Advances in Josephson Junction Materials and Processes Toward Practical Quantum Computing

open access: yesAdvanced Science, EarlyView.
Emerging materials for quantum computing, including crystalline materials, two‐dimensional van der Waals materials, two‐dimensional electron gas systems, ferromagnets, and unconventional (e.g., d‐wave) superconductors, offer opportunities to engineer next‐generation Josephson junctions.
Hyunseong Kim   +11 more
wiley   +1 more source

Proving Opacity of a Pessimistic STM.

open access: yes, 2016
Transactional Memory (TM) is a high-level programming abstraction for concurrency control that provides programmers with the illusion of atomically executing blocks of code, called transactions. TMs come in two categories, optimistic and pessimistic, where in the latter transactions never abort.
Simon Doherty   +4 more
openaire   +6 more sources

Enhanced High Dimensionality and the Information Processing Capacity in Interfered Spin Wave‐Based Reservoir Computing, Achieved With Eight Detectors

open access: yesAdvanced Electronic Materials, EarlyView.
Physical reservoir computing (PRC) based on spin wave interference has demonstrated high computational performance, yet room for improvement remains. In this study, we fabricated this concept PRC with eight detectors and evaluated the impact of the number of detectors using a chaotic time series prediction task.
Sota Hikasa   +6 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

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

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