Results 81 to 90 of about 21,060 (306)

Lipid Nanoparticles for the Delivery of CRISPR/Cas9 Machinery to Enable Site‐Specific Integration of CFTR and Mutation‐Agnostic Disease Rescue

Advanced Functional Materials, EarlyView.
Lipid nanoparticles (LNPs) are optimized to co‐deliver Cas9‐encoding messenger RNA (mRNA), a single guide RNA (sgRNA) targeting the endogenous cystic fibrosis transmembrane conductance regulator (CFTR) gene, and homologous linear double‐stranded donor DNA (ldsDNA) templates encoding CFTR.
Ruth A. Foley, Paul G. Ayoub, Vrishti Sinha, Colin Juett, Alicia Sanoyca, Emily C. Duggan, Lindsay E. Lathrop, Priyanka Bhatt, Kevin Coote, Beate Illek, Brigitte N. Gomperts, Donald B. Kohn, Steven J. Jonas   +12 more
wiley   +1 more source

How many grid-forming converters are needed? – A techno-economic perspective

iEnergy
Renewable generation is rapidly increasing and transforming power systems toward “new-type power systems”. The integration of renewable energy resources necessitates a shift from conventional grid-following converters (GFLs) to advanced grid-forming ...
Guoxuan Cui, Hongyang Jia, Ning Zhang, Fei Teng   +3 more
doaj   +1 more source

Laser‐Induced Graphene from Waste Almond Shells

Advanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova, Anna Chiara Bressi, Marina Galliani, Attilio Marino, Gianni Ciofani, Eduardo Machado‐Charry, Hilda Gomez Bernal, Alessandra Francini, Luca Sebastiani, Francesco Greco   +9 more
wiley   +1 more source

Adaptability Analysis of Transmission Line Protection under the Control Strategy of Grid-Forming Energy Storage Converter

Zhongguo dianli
Under the dual carbon target, a large number of new energy sources are connected to the power grid, and relay protection is becoming increasingly important as the primary guarantee for the safe and stable operation of the power system.
Xiaoping FENG, Qidi CHEN, Qingchun ZHAO, Xing WANG, Bin LI, Hua XIE   +5 more
doaj   +1 more source

Modulating Electrochemical CO2 Reduction Pathways via Interfacial Electric Field

Advanced Functional Materials, EarlyView.
Engineering interfacial electric fields in Cu/ITO electrodes enables precise control of CO2 reduction pathways. Charge transfer from Cu to ITO generates positively charged Cu species that steer selectivity from ethylene toward methane. This work demonstrates how interfacial electric‐field modulation can direct reaction intermediates and transform ...
Mahdi Salehi, Zhengyuan Gao, Sai Phani Kumar Vangala, Amirhossein Farzi, Hamed Heidarpour, Morgan McKee, Nikolay Kornienko, Ali Seifitokaldani   +7 more
wiley   +1 more source

3D‐Printed Sulfur‐Derived Polymers With Controlled Architectures for Lithium‐Sulfur Batteries

Advanced Functional Materials, EarlyView.
Rheology‐guided formulation design for direct ink writing enables the fabrication of 3D sulfur copolymer cathodes with controlled architectures for lithium‐sulfur batteries. The printed electrodes exhibit multiscale porosity and high sulfur utilization, delivering enhanced electrochemical performance compared to conventional cast electrodes.
Bin Ling, Haoran Wang, Pan Yang, Rishav Agrawal, Alex R. Neale, Laurence J. Hardwick, Tom Hasell, Esther García‐Tuñón   +7 more
wiley   +1 more source

Benchmarking and viability assessment of optical packet switching for metro networks [PDF]

, 2004
Optical packet switching (OPS) has been proposed as a strong candidate for future metro networks. This paper assesses the viability of an OPS-based ring architecture as proposed within the research project DAVID (Data And Voice Integration on DWDM ...
Bianco, Andrea, Careglio, D., Demeester, P., Develder, C., Fernandez-Palacios, J., Le Sauze, N., Losenthagen, H., Neri, Fabio, Picvkavet, M., Sole-Pareta, J., Stavdas, A., Sygletos, S., Van Caenegem, R.   +12 more
core   +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

Investigating the effects of current thresholds on phase jump limits and withstand capabilities in grid‐forming converters

IET Generation, Transmission & Distribution
The inherent constraints of grid‐forming converters affect their ability to maintain voltage source characteristics within a specific operational range.
Ziqian Zhang, Robert Schuerhuber, Lothar Fickert, Guochu Chen   +3 more
doaj   +1 more source

Megawatt-level converter grid-forming control technology by adopting MPC for medium voltage distribution network

Frontiers in Energy Research
The grid-forming control (GFM) is treated as controlled voltage sources, which can enhance synchronize stability in weak grid case. However, the dynamic response of existing GFM method is limited, and the transient overcurrent in fault is still not ...
Shangke Liu, Xiangnan Du, Yanli Xiao, Yuanyuan Liu, Rui Zhao   +4 more
doaj   +1 more source