Results 81 to 90 of about 11,357 (243)

Introductory Computer Science Course by Adopting Many Programming Languages

open access: bronze, 2021
Francisco de Assis Zampirolli   +5 more
openalex   +2 more sources

Understanding Functional Materials at School

open access: yesAdvanced Functional Materials, EarlyView.
This review outlines strategies for effectively teaching nanoscience in schools, focusing on challenges such as scale comprehension and curriculum integration. Emphasizing inquiry‐based learning and chemistry core concepts, it showcases hands‐on activities, digital tools, and interdisciplinary approaches.
Johannes Claußnitzer, Jürgen Paul
wiley   +1 more source

Revealing the Auxetic Behavior of Biomimetic Multimaterial and Region‐Specific Nanofibrous Fascicle‐Inspired Scaffolds via Synchrotron Multiscale Digital Volume Correlation: Innovative Building Blocks for the Enthesis Regeneration

open access: yesAdvanced Functional Materials, EarlyView.
Enthesis injuries are a worldwide healthcare problem. Biomimetic electrospun enthesis fascicle‐inspired scaffolds, with and without nano‐mineralization are developed. Human Mesenchymal Stromal cells (hMSCs) express the most balanced enthesis markers on the non‐mineralized scaffolds.
Alberto Sensini   +11 more
wiley   +1 more source

Steep‐Switching Memory FET for Noise‐Resistant Reservoir Computing System

open access: yesAdvanced Functional Materials, EarlyView.
We demonstrate the steep‐switching memory FET with CuInP2S6/h‐BN/α‐In2Se3 heterostructure for application in noise‐resistant reservoir computing systems. The proposed device achieves steep switching characteristics (SSPGM = 19 mV/dec and SSERS = 23 mV/dec) through stabilization between CuInP2S6 and h‐BN.
Seongkweon Kang   +6 more
wiley   +1 more source

Dynamic Control of Synaptic Plasticity by Competing Ferroelectric and Trap‐Assisted Switching in IGZO Transistors with Al2O3/HfO2 Dielectrics

open access: yesAdvanced Functional Materials, EarlyView.
A frequency‐tunable ferroelectric synaptic transistor based on a buried‐gate InGaZnO channel and Al2O3/HfO2 dielectric stack exhibits linear and reversible weight updates using single‐polarity pulses. By switching between ferroelectric and trap‐assisted modes depending on input frequency, the device simplifies neuromorphic circuit design and achieves ...
Ojun Kwon   +8 more
wiley   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore   +7 more
wiley   +1 more source

Ce3+‐Activated Lithium Rare‐Earth Oxonitridolithosilicates: A New Class of LED Phosphors with Similarities to Garnets

open access: yesAdvanced Functional Materials, EarlyView.
Garnet‐like luminescence upon Ce3+‐activation is found in the first six representatives Li9RESi4N4O8 (RE = Y, La, Gd, Dy, Yb, Lu) of the substance class of lithium rare‐earth oxonitridolithosilicates, which also show a novel structure type. High‐temperature solid‐state synthesis yielded crystalline samples for single‐crystal X‐ray diffraction‐based ...
Kilian M. Rießbeck   +5 more
wiley   +1 more source

Engineering Highly Cellularized Living Materials via Mechanical Agitation

open access: yesAdvanced Functional Materials, EarlyView.
A mechanical agitation strategy is developed to engineer highly cellularized living materials, achieving cell densities of up to 1 billion cells per milliliter. By precisely tuning properties such as stiffness and toughness in blood clots, the approach is validated in both in vitro and in vivo studies.
Aram Bahmani   +9 more
wiley   +1 more source

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