Results 51 to 60 of about 130,381 (227)

Biodegradable and Recyclable Luminescent Mixed‐Matrix‐Membranes, Hydrogels, and Cryogels based on Nanoscale Metal‐Organic Frameworks and Biopolymers

Advanced Functional Materials, EarlyView.
The study presents biodegradable and recyclable mixed‐matrix membranes (MMMs), hydrogels, and cryogels using luminescent nanoscale metal‐organic frameworks (nMOFs) and biopolymers. These bio‐nMOF‐MMMs combine europium‐based nMOFs as probes for the status of the materials with the biopolymers agar and gelatine and present alternatives to conventional ...
Moritz Maxeiner, Julian Burkhart, Kateryna Borysova, Chiara Mazzariol, Klaus Müller‐Buschbaum   +4 more
wiley   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced 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, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +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

Unraveling Quantitative Sensing Mechanism and Predictive Molecular Metrics for High‐Performance OFET Amine Sensors

Advanced Functional Materials, EarlyView.
This study introduces a novel chloro boron subphthalocyanine/polymer blend OFET sensor achieving 0.005 ppb limit of detection for ammonia at room temperature and high selectivity against similar amines. An original theoretical framework is proposed to describe the sensing mechanism, relating analyte molecular volume and Lewis basicity to sensor ...
Kavinraaj Ella Elangovan, Matthew P. Confer, Rui Zhang, Siqing Wang, Jeffrey S. Moore, Rohit Bhargava, Ying Diao   +6 more
wiley   +1 more source

Expanding Maize Genetic Resources with Predomestication Alleles: Maize–Teosinte Introgression Populations

The Plant Genome, 2016
Teosinte ( subsp. H. H. Iltis & Doebley) has greater genetic diversity than maize inbreds and landraces ( subsp. ). There are, however, limited genetic resources to efficiently evaluate and tap this diversity.
Zhengbin Liu, Jason Cook, Susan Melia-Hancock, Katherine Guill, Christopher Bottoms, Arturo Garcia, Oliver Ott, Rebecca Nelson, Jill Recker, Peter Balint-Kurti, Sara Larsson, Nicholas Lepak, Ed Buckler, Loren Trimble, William Tracy, Michael D. McMullen, Sherry A. Flint-Garcia   +16 more
doaj   +1 more source

Data inversion methods to determine sub-3 nm aerosol size distributions using the particle size magnifier [PDF]

Atmospheric Measurement Techniques, 2018
Measuring particle size distribution accurately down to approximately 1 nm is needed for studying atmospheric new particle formation. The scanning particle size magnifier (PSM) using diethylene glycol as a working fluid has been used for ...
R. Cai, R. Cai, R. Cai, D. Yang, D. Yang, L. R. Ahonen, L. Shi, F. Korhonen, Y. Ma, J. Hao, T. Petäjä, J. Zheng, J. Kangasluoma, J. Kangasluoma, J. Jiang   +14 more
doaj   +1 more source

Consumed by Abdominal Distention

Arthritis Care &Research, EarlyView.
Abimbola Fadairo‐Azinge, James Grenert, Brian Haas, Mary Margaretten   +3 more
wiley   +1 more source

From Wafers to Electrodes: Transferring Automatic Optical Inspection (AOI) for Multiscale Characterization of Smart Battery Manufacturing

Advanced Functional Materials, EarlyView.
Automat optical inspection (AOI) techniques in semiconductor fabrication can be leveraged in battery manufacturing, enabling scalable detection and analysis of electrode‐ and cell‐level imperfections through AI‐driven analytics and a digital‐twin framework.
Jianyu Li, Ertao Hu, Wei Wei, Feifei Shi
wiley   +1 more source

A theoretical study of the kernel function for resistivity prospecting with a Sclilumherger apparatus in water

Annals of Geophysics, 1974
On the basis of already known theoretical results concerning the use of the geoelectrical sounding method with the a p p a r a t us immersed in water, in t h e present paper we i n d i v i d u a t e the kernel f u n c t i on of t h e p a r
D. SCHIAVONE, D. PATELLA
doaj   +1 more source

Existence of a unique weak solution to a non-autonomous time-fractional diffusion equation with space-dependent variable order

Advances in Difference Equations, 2021
In this contribution, we investigate an initial-boundary value problem for a fractional diffusion equation with Caputo fractional derivative of space-dependent variable order where the coefficients are dependent on spatial and time variables. We consider
Karel Van Bockstal
doaj   +1 more source