Results 241 to 250 of about 4,417,194 (351)

Active Packaging Films from PBAT/PLA with Rosmarinus officinalis L. Extract: Antioxidant, UV-Shielding, and Compostable Properties. [PDF]

Molecules
He X, Tang L, Huang R.
europepmc   +1 more source

Universal In Situ Isotope Exchange Raman Spectroscopy (IERS) Methodology for Measuring Oxygen Surface Exchange Dynamics Using a Probe Layer

Advanced Functional Materials, EarlyView.
A bespoke multilayer thin film configuration has been designed, which overcomes the material dependency of conventional isotope exchange Raman spectroscopy (IERS). This universal IERS methodology is efficient, non‐destructive and provides additional structural information and time resolution, which can be further extended to various isotopic elements ...
Zonghao Shen, Francesco Chiabrera, Alexander Stangl, Laetitia Rapenne, Federico Baiutti, Carmen Jiménez, Albert Tarancón, Mónica Burriel   +7 more
wiley   +1 more source

Cephalexin-loaded polyvinyl alcohol/graphene oxide thin films as antibacterial wound dressing. [PDF]

RSC Adv
Barkhordari S, Yousefi S, Badeleh SM, Abdollahi H, Abazari M, Alizadeh A.   +5 more
europepmc   +1 more source

Multicolor Optoelectronic Synapse Enabled by Photon‐Modulated Remote Doping in Solution‐Processed Van Der Waals Heterostructures

Advanced Functional Materials, EarlyView.
Multicolor optoelectronic synapses are realized by vertically integrating solution‐processed MoS2 thin‐film and SWCNT. The electronically disconnected but interactive MoS2 enables photon‐modulated remote doping, producing a bi‐directional photoresponse.
Jihyun Kim, Hyunbin Kim, Gang Jin Cheon, Dohyun Lee, In Soo Kim, Uiyeon Won, Jongseok Lee, Sang Min Won, Joohoon Kang   +8 more
wiley   +1 more source

Impact of precursor solution temperature on two-step spin-coated FAPbI₃ film elucidated by surface morphology and <i>in situ</i> photoluminescence dynamics. [PDF]

RSC Adv
Okuyama R, Uezono K, Inada Y, Yamao T, Okada D, Yamashita K.   +5 more
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

Field- and Angle-Dependent AC Susceptibility in Multigrain La_0.66Sr_0.34MnO₃ Thin Films on YSZ(001) Substrates. [PDF]

Materials (Basel)
Grigaliūnaitė-Vonsevičienė G, Jukna A.   +1 more
europepmc   +1 more source

Application of Brassica juncea and Raphanus sativus Sprout Extracts as Active Agents in Chitosan-Based Edible Coatings: Evaluation of Physicochemical and Biological Properties. [PDF]

Polymers (Basel)
Moeini A, Kentsop RAD, Beals A, Mattana M, Marvasi M, Coquard L, Gregorio M, Cielecka-Piontek J, Genga A, Nesic A, Vecchio GL, Salazar SA, Becker T, Cerruti P.   +13 more
europepmc   +1 more source

Wafer-Level Self-Assembly and Interface Passivation Patterning Technology for Nanomaterial-Compatible 3D MEMS Sensing Chips. [PDF]

Nanomicro Lett
Zhang Z, Zhang Y, Luo Y, Lv G, Yin J, Tan P, Duan G.   +6 more
europepmc   +1 more source