Results 111 to 120 of about 26,192 (266)

Rapid Room‐Temperature Synthesis of Te4+‐Doped Cs2ZrCl6 Vacancy‐Ordered Double Perovskites With Tunable Luminescence Triggered by Extreme Conditions for Advanced Optical Thermometry and Manometry

open access: yesAdvanced Science, EarlyView.
Through utilizing a proposed rapid room‐temperature precipitation method, the Te4+‐doped Cs2ZrCl6 vacancy‐ordered doubles with intense STE emission were synthesized. Via using the extreme conditions, i.e., temperature and pressure, stimulus, the luminescence properties of the resulting compounds are significantly modulated, endowing their promising ...
Zhiyu Pei   +5 more
wiley   +1 more source

High‐Order Nonlinear Photonic Crystal with Ordered Structures for Giant Enhancement of Frequency Tripling

open access: yesAdvanced Science, EarlyView.
A meta‐YAG crystal with artificially order/disorder structures was fabricated to realize the efficient third‐harmonic generation at 343 nm with a conversion efficiency of 4.5×10−3, surpassing six orders of magnitude compared to bulk YAG crystal. Moreover, a wide spectral tunability from 331 to 356 nm was also achieved in the meta‐YAG, indicating its ...
Xiaotian Guo   +6 more
wiley   +1 more source

Pyroptosis‐Inducing Engineered Microparticles for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
Engineered microparticles co‐delivering geldanamycin and dual nanobodies induce targeted pyroptosis and block PD‐L1 and CD47 pathways, reprogramming the tumor microenvironment and achieving potent antitumor immunity in lung cancer models with minimal toxicity.
Tianli Hao   +12 more
wiley   +1 more source

A 16-bit Coherent Ising Machine for One-Dimensional Ring and Cubic Graph Problems. [PDF]

open access: yesSci Rep, 2016
Takata K   +8 more
europepmc   +1 more source

Machine Learning for Designing Perovskites and Perovskite‐Inspired Solar Materials: Emerging Opportunities and Challenges

open access: yesAdvanced Science, EarlyView.
This review offers a comprehensive comparison between perovskites and perovskite‐inspired materials (PIMs), focusing on their crystal structures, electronic properties, and chemical compositions. It evaluates the applicability of machine learning (ML) descriptors and models across both material classes.
Yangfan Zhang   +6 more
wiley   +1 more source

Influence of Bottom Electrodes on the Ferroelectric Stability of AlScN Film at High Temperatures

open access: yesAdvanced Electronic Materials, EarlyView.
The thermal stability of AlScN depends on the bottom electrode. When the bottom electrode possesses compressive stress, tensile strain develops in the AlScN upon thermal annealing, reducing the switching barrier. When the bottom electrode forms a coherent interface with AlScN, significant tensile strain and defects are generated in the AlScN layer ...
Kyung Do Kim   +4 more
wiley   +1 more source

Cubicity of threshold graphs

open access: yesDiscrete Mathematics, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Achieving Directional Oil Manipulation by Open Inducing Structure for Electrowetting Displays

open access: yesAdvanced Electronic Materials, EarlyView.
This work introduces an open inducing structure (OIS) fabricated by photoembossing to precisely control oil motion in electrowetting displays (EWDs). The OIS creates local electric field inhomogeneity, guiding directional oil rupture and achieving a 93.8% motion consistency. It significantly lowers the turn‐on voltage and accelerates the response speed,
Qilu Li   +8 more
wiley   +1 more source

From Materials to Systems: Challenges and Solutions for Fast‐Charge/Discharge Na‐Ion Batteries

open access: yesAdvanced Energy Materials, EarlyView.
This review systematically analyzes the key characteristics limiting the fast‐charge/discharge capability of Na‐ion batteries (SIBs) from a multi‐scale perspective encompassing electrode materials, the electrode‐electrolyte interface, and the system. Furthermore, it presents practical solution strategies for the fundamental issues arising at each scale,
Bonyoung Ku   +5 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

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