Results 101 to 110 of about 1,840 (258)
Red‐emissive carbon dots (R‐CDs) exhibiting aggregation‐induced emission (AIE) and aggregation‐caused quenching (ACQ) effects are synthesized from citric acid and urea. They display weak blue fluorescence in water but strong red emission in DMF due to aggregation.
Jiafeng Wan +11 more
wiley +2 more sources
Sampling Methods for Luminescence Dating of Subsurface Deposits from Cores. [PDF]
Nelson M, Rittenour T, Cornachione AH.
europepmc +1 more source
A novel strategy for achieving high current density in van der Waals (vdW) heterostructure‐based light‐emitting devices (LEDs) is proposed. Based on this concept, an LED utilizing a WS2/WSe2 heterostructure was fabricated, achieving a current density of 9.4 × 104 A/cm2.
Rei Usami +7 more
wiley +1 more source
Glutathione‐Responsive Acyl‐Modifications for Targeted RNA Decaging and Prolonged Protein Synthesis
The self‐immolation of disulfide‐based mRNA modifications in response to endogenous glutathione (GSH) promotes a gradual release of translatable mRNA within the cell, leading to improved nuclease resistance, tunable release properties, and a significant increase (up to 600%) of target protein production over time. This strategy offers an exciting proof
Mary E. Flood +6 more
wiley +2 more sources
Testing Luminescence Dating Methods for Small Samples from Very Young Fluvial Deposits. [PDF]
Spencer JQG +3 more
europepmc +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
Rapidly Diversifying Hydrogen‐Bonded Organic Frameworks With Permanent Porosity
This article reviews diversifying hydrogen‐bonded organic frameworks (HOFs) with permanent porosity reported over the past 15 years, based on the molecular structures of their constituent tectons. Furthermore, several distinctive aspects and concepts are described, such as permanent porosity, isostructural (isoreticular) HOFs, and multicomponent mixed ...
Taito Hashimoto, Ichiro Hisaki
wiley +2 more sources
Machine‐Learning‐Assisted Onset‐Time Determination in Transient Luminescence Thermometry
Artificial neural networks enable autonomous extraction of onset times from transient heating curves in luminescence thermometry. Using Ln3+‐doped upconverting nanoparticles as luminescent thermometers, we combine experimental transients with physically motivated synthetic curves to enhance data diversity and improve generalization.
David J. Sousa +3 more
wiley +1 more source
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
Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects
This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios +4 more
wiley +1 more source

