Results 161 to 170 of about 678,535 (278)

Molecular Cross‐Linking of MXenes: Tunable Interfaces and Chemiresistive Sensing

Advanced Functional Materials, EarlyView.
In this study, Ti3C2Tx MXenes are initially functionalized using oleylamine ligands to form stable dispersions in an organic solvent. Subsequently ligand exchange with α,ω‐diaminoalkanes enables cross‐linking, along with precise tuning of interfaces. This structural control translates into tunable charge transport and responsive VOC sensing, showing ...
Yudhajit Bhattacharjee, Lukas Mielke, Mahmoud Al‐Hussein, Shivam Singh, Karen Schaefer, Borja Rodriguez‐Barea, Qiong Li, Anik Kumar Ghosh, Artur Erbe, Carmen Herrmann, Yana Vaynzof, Andreas Fery, Hendrik Schlicke   +12 more
wiley   +1 more source

4D Mapping of ZIF Biocomposites for High Protein Loading and Tunable Release Profiles

Advanced Functional Materials, EarlyView.
Systematic four‐dimensional mapping of zeolitic imidazolate framework biocomposites reveals how precursor ratios, total concentration, and washing define crystalline phase, protein loading, and release kinetics. This comprehensive study identifies conditions yielding record loading (∼85%) and precise phase–property correlations.
Michael R. Hafner, Francesco Carraro, Behnaz Abbasgholi‐NA, Simone Dal Zilio, Max Schmallegger, Helmar Wiltsche, Lingcong Ge, Michael R. Reithofer, Efwita Astria, Laura Villanova, Heinz Amenitsch, Christian Doonan, Paolo Falcaro   +12 more
wiley   +1 more source

Naturally Derived Donor‐π‐Acceptor Compounds for Efficient Long‐Wavelength LEDs/Sunlight‐Induced Polymerization and High‐Precision Multiple 3D Printing

Advanced Functional Materials, EarlyView.
Two novel donor–π–acceptor photoinitiators enable ultrafast long‐wavelength photopolymerization under blue/green LEDs and sunlight. Effective at low intensities and concentrations, they overcome slow kinetics and permit rapid 3D printing via DLW, DLP, and LCD methods.
Ji Feng, Tong Gao, Fabrice Morlet‐Savary, Michael Schmitt, Céline Dietlin, Jing Zhang, Pu Xiao, Frédéric Dumur, Jean‐Patrick Joly, Jacques Lalevée   +9 more
wiley   +1 more source

Next-Generation Biomedical Microwave Antennas: Metamaterial Design and Advanced Printing Manufacturing Techniques. [PDF]

Sensors (Basel)
Koutsoupidou M, Karanasiou IS.
europepmc   +1 more source

Energy‐Efficient Bulk Photoalignment of Main‐Chain Liquid Crystalline Polymers Enabled by In Situ Monitoring

Advanced Functional Materials, EarlyView.
In situ monitoring of bulk photoalignment reveals how molecular weight, azobenzene content, cooling rate, and thickness govern ordering in main‐chain liquid crystalline polymers. Optimized copolymers exceed conventional thickness limits, maintaining stable alignment up to 130 µm with high energy efficiency and reversible optical patterning.
Jaechul Ju, Joy Zhou, Connor J. O'Dea, Zachariah A. Page   +3 more
wiley   +1 more source

Next-generation biomedical sensing through photoacoustic-electrochemical synergy. [PDF]

Med Rev (2021)
Chen M, Zhou J, Guo K, Tuchin VV, Wei X.
europepmc   +1 more source

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

Conductive Hydrogels in Biomedical Engineering: Recent Advances and a Comprehensive Review. [PDF]

Gels
Shen C, Wang Y, Yuan P, Wei J, Bao J, Li Z.   +5 more
europepmc   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

A Randomized Study of the <i>Glunovo</i> Real-time CGM Effectiveness in Individuals With Poorly Controlled Type 2 Diabetes. [PDF]

J Endocr Soc
Lazzaroni E, Cimino V, Gandolfi A, Tinari C, Bucciarelli L, Morpurgo P, Ben Nasr M, Fiorina RM, Pastore I, Baruffaldi L, Losurdo F, D'Addio F, Zuccotti GV, Montefusco L, Rossi A, Lunati ME, Fiorina P.   +16 more
europepmc   +1 more source