Results 291 to 300 of about 1,515,695 (366)

Influence of virtual images on the signal-to-noise ratio in digital in-line particle holography

open access: gold, 2005
Wouter D. Koek   +4 more
openalex   +1 more source

Prospects of Electric Field Control in Perpendicular Magnetic Tunnel Junctions and Emerging 2D Spintronics for Ultralow Energy Memory and Logic Devices

open access: yesAdvanced Functional Materials, EarlyView.
Electric control of magnetic tunnel junctions offers a path to drastically reduce the energy requirements of the device. Electric field control of magnetization can be realized in a multitude of ways. These mechanisms can be integrated into existing spintronic devices to further reduce the operational energy.
Will Echtenkamp   +7 more
wiley   +1 more source

Controlled Aggregation of Pyrene‐Based Supramolecular Nanostructures for Light‐Driven Switchable H2 or H2O2 Production

open access: yesAdvanced Functional Materials, EarlyView.
This work reports the self‐assembly of a pyrene derivative into two distinct nanostructures and their application in visible‐light photocatalysis. The two nanostructures exhibit completely different yet complementary photocatalytic activities, promoting either H2 or H2O2 evolution.
Marianna Barbieri   +6 more
wiley   +1 more source

Conformally Perforated Shellular Metamaterials with Tunable Thermomechanical and Acoustic Properties

open access: yesAdvanced Functional Materials, EarlyView.
This study introduces Conformally Perforated Shellular Metamaterials (CPSMs), which overcome TPMS design limitations by mapping 2D cellular layouts onto 3D surfaces. CPSMs exhibit enhanced elastic stiffness, thermal conductivity, and acoustic performance compared to intact P‐type shellulars, demonstrating their potential as multifunctional ...
Benyamin Shahryari   +8 more
wiley   +1 more source

Machine Learning Guided Design of Nerve‐On‐A‐Chip Platforms with Promoted Neurite Outgrowth

open access: yesAdvanced Functional Materials, EarlyView.
Compared to labor‐intensive trial‐and‐error experimentation, a machine learning (ML)‐guided workflow, incorporating cell viability assays, data augmentation, ensemble modeling, and model interpretation, is developed to accelerate nerve‐on‐a‐chip optimization and uncover data‐driven design principles.
Tsai‐Chun Chung   +8 more
wiley   +1 more source

Composition and Resulting Band Alignment at the TiO2/InP Heterointerface: A Fundamental Study Combining Photoemission Spectroscopy and Theory

open access: yesAdvanced Functional Materials, EarlyView.
The chemical composition and band alignment are systematically investigated at the TiO2/InP heterointerface. Thin TiO2 films are deposited by ALD on atomically ordered, P‐terminated p‐InP(100). By combining UPS, XPS, and ab initio molecular dynamics, the atomistic structure and electronic alignment are revealed.
Mohammad Amin Zare Pour   +11 more
wiley   +1 more source

Flux‐Regulated Crystallization of Perovskites Using Machine Learning‐Predicted Solvent Evaporation Rates for X‐Ray Detectors

open access: yesAdvanced Functional Materials, EarlyView.
By integrating machine learning into flux‐regulated crystallization (FRC), accurate prediction of solvent evaporation rates in real time, improving crystallization control and reducing crystal growth variability by over threefold, is achieved. This enhances the reproducibility and quality of perovskite single crystals, leading to reproducible ...
Tatiane Pretto   +8 more
wiley   +1 more source

Scalable Perovskite Quantum Dot Glass Nanocomposites for High‐Efficiency Luminescent Solar Concentrators

open access: yesAdvanced Functional Materials, EarlyView.
This study evaluates the scalability of PQD GNC‐based LSCs for BIPV applications. Experimental data and Monte Carlo simulations predict performance up to 1 m2, achieving a peak power conversion efficiency of 3.17%. The results confirm the viability of these LSCs for energy‐efficient building applications.
Emre İlter   +6 more
wiley   +1 more source

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