Results 171 to 180 of about 16,614 (261)

Smart, Bio‐Inspired Polymers and Bio‐Based Molecules Modified by Zwitterionic Motifs to Design Next‐Generation Materials for Medical Applications

Advanced Functional Materials, EarlyView.
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz, Jonas De Breuck, Sahar Salehi, Meike N. Leiske   +3 more
wiley   +1 more source

The key role of nanoparticle concentration gradient in aerosol initial growth. [PDF]

Nat Commun
Cai R, Li X, Li Y, Blichner S, Stolzenburg D, Zha Q, Cai J, Nie W, Yan C, Huang DD, Wang Z, Wu J, Yin R, Sarnela N, Huang W, Tuovinen S, Holm S, Ahonen L, Yao L, Ding A, Bianchi F, Liu Y, Winkler PM, Petäjä T, Chen J, Kerminen VM, Wang L, Worsnop D, Jiang J, Kulmala M, Kangasluoma J.   +30 more
europepmc   +1 more source

Cool Kitchen: Processing Starch and Eggshell Powder into Sustainable Coatings for Passive Daytime Cooling

Advanced Functional Materials, EarlyView.
A food‐grade cooling composite made from starch and recycled eggshell powder offers a scalable, ultra‐low‐cost solution for passive daytime radiative cooling. Easily prepared using basic kitchen tools, this material empowers communities, even in areas with limited infrastructure, to stay cooler during worsening summer heat waves.
Qimeng Song, Evelyn Kubacki, Alexander Berger, Markus Retsch   +3 more
wiley   +1 more source

The origins of patchy aurora at Jupiter. [PDF]

Nat Commun
Daly A, Li W, Ma Q, Shen XC, Hue V, Clark G, Greathouse TK, Gladstone GR, Mauk BH, Kurth WS, Hospodarsky GB, Allegrini F, Bolton SJ.   +12 more
europepmc   +1 more source

Inactivating SARS‐CoV‐2 Virus with MOF‐Composites as Smart Face Masks

Advanced Functional Materials, EarlyView.
In situ preparation and functionalization of MOF@Cotton fabrics as smart face masks for the immobilization of proteins and inactivation viruses, such as SARS‐CoV‐2. Abstract The significant impact of the SARS‐CoV‐2 (COVID‐19) pandemic outbreak on people's lives has highlighted the urgent need for effective personal protective equipment.
Romy Ettlinger, Aamod V. Desai, Hau Lam Jody Cheong, Louise L. Major, Terry K. Smith, Aaron B. Naden, Jane Hilton, Catherine S. Adamson, A. Robert Armstrong, Russell E. Morris   +9 more
wiley   +1 more source

A polymer physics model of the interphase cell nucleus for radiobiological simulations. [PDF]

Sci Rep
Zhao M, Huang G, Xu Z, Huang X, Liang Y.
europepmc   +1 more source

MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance

Advanced Functional Materials, EarlyView.
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley   +1 more source

The Wave-Particle Dualism of Photons as Seen from an Informational Point of View. [PDF]

Entropy (Basel)
Müller JG.
europepmc   +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

A quantum machine learning-based predictive analysis of CERN collision events. [PDF]

Sci Rep
Tripathi S, Upadhyay H, Soni J.
europepmc   +1 more source