Results 241 to 250 of about 2,291,078 (312)
Rational Design of Unsaturated, Thioether Ionizable Lipids for Enhanced In Vivo mRNA Delivery
Lipid nanoparticles (LNPs) have rapidly become the delivery system of choice for RNA therapeutics. Here, a rational design approach is taken to improve the effectiveness of LNPs based on an ionizable thioether lipid library. The incorporation of unsaturated tails and bulkier, hydrophobic head groups significantly enhances their functionality and ...
Eleni Samaridou+4 more
wiley +1 more source
Computational Simulations of Metal–Organic Frameworks to Enhance Adsorption Applications
This review highlights the significance of molecular simulations in expanding the understanding of metal–organic frameworks (MOFs) and improving their gas adsorption applications. The historical development and implementation of molecular simulations in the MOF field are given, high‐throughput computational screening studies used to unlock the ...
Hilal Daglar+3 more
wiley +1 more source
Graphene as an Active Material for Supercapacitors: A Machine Learning Approach
Anif Jamaluddin+4 more
openalex +2 more sources
Optoelectronic Devices for In‐Sensor Computing
The raw data obtained directly from sensors in the noisy analogue domain is often unstructured, which lacks a predefined format or organization and does not conform to a specific data model. Optoelectronic devices for in‐sensor visual processing can integrate perception, memory, and processing functions in the same physical units, which can compress ...
Qinqi Ren+7 more
wiley +1 more source
Mastering Proton Activities in Aqueous Batteries
Advanced aqueous batteries are promising alternatives for grid energy storage. Understanding and mastering the proton activities in aqueous electrolytes will guide the design of sustainable and long‐lasting aqueous batteries. This Perspective comments on the current understanding of the thermodynamic and kinetic perspectives of proton activities and ...
Leiting Zhang, Chao Zhang, Erik J. Berg
wiley +1 more source
Pushing Radiative Cooling Technology to Real Applications
Radiative cooling controls surface optical properties for solar and thermal radiation, offering solutions for global warming and energy savings. Despite significant advances, key challenges remain: optimizing optical efficiency, maintaining aesthetics, preventing overcooling, enhancing durability, and enabling scalable production.
Chongjia Lin+8 more
wiley +1 more source
Synthetic Aspects and Characterization Needs in MOF Chemistry – from Discovery to Applications
Overcoming the challenges of phase discovery, synthesis optimization and scale‐up, characterization, and computational studies is essential to accelerate the large‐scale application of MOFs. Life‐cycle analyses and techno‐economic analyses need to be performed to realistically assess their potential for industrial relevance.
Bastian Achenbach+4 more
wiley +1 more source
This review discusses the use of Surface‐Enhanced Raman Spectroscopy (SERS) combined with Artificial Intelligence (AI) for detecting antimicrobial resistance (AMR). Various SERS studies used with AI techniques, including machine learning and deep learning, are analyzed for their advantages and limitations.
Zakarya Al‐Shaebi+4 more
wiley +1 more source
Optimal active particle navigation meets machine learning
Mahdi Nasiri+2 more
openalex +2 more sources