Results 221 to 230 of about 1,474,354 (299)

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

Complex Cryptographic and User‐Centric Physically Unclonable Functions Enabled by Strain‐Sensitive Nanocrystals via Selective Ligand Exchange

Advanced Functional Materials, EarlyView.
This study investigates electromechanical PUFs that improve on traditional electric PUFs. The electron transport materials are coated randomly through selective ligand exchange. It produces multiple keys and a key with motion dependent on percolation and strain, and approaches almost ideal inter‐ and intra‐hamming distances.
Seungshin Lim, Hanseok Seo, Taesung Park, Byung Ku Jung, Junhyeok Park, Young Kyun Choi, Dae Yang Oh, Soong Ju Oh   +7 more
wiley   +1 more source

Giant electrochemical actuation in a nanoporous silicon-polypyrrole hybrid material. [PDF]

Sci Adv, 2020
Brinker M, Dittrich G, Richert C, Lakner P, Krekeler T, Keller TF, Huber N, Huber P.   +7 more
europepmc   +1 more source

Light‐Responsive Enzyme‐Loaded Nanoparticles for Tunable Adhesion and Mechanical Wound Contraction

Advanced Functional Materials, EarlyView.
This study presents a photoactivatable enzyme‐loaded mesoporous nanoparticle system (MPDA_PaTy) that enables light‐triggered tunable tissue adhesion and facilitates mechanical wound contraction. Controlled enzymatic crosslinking at tissue or hydrogel interfaces allows on‐demand adhesion.
Junghyeon Ko, Hyeon‐Jin Kim, Jeong‐Uk Kim, Seh Ri Oh, Tae Hoon Kang, Junghwan Byun, Uk‐Jae Lee, Minglin Ma, Su‐Hwan Kim, Byung‐Gee Kim, Nathaniel S. Hwang   +10 more
wiley   +1 more source

Synthesis, Crystal Structure, Hirshfeld Surfaces, Spectroscopic, Thermal and Dielectric Characterizations for the New Hybrid Material (C₇H₁₁N₂)₂ZnI₄. [PDF]

ACS Omega
Smii I, Ben Attia H, Abdelbaky MSM, García-Granda S, Dammak M.   +4 more
europepmc   +1 more source

Magnetic Hybrid-Materials [PDF]

, 2021
openaire   +1 more source

Expanding Chemical Space of Nucleic Acid Nanoparticles for Tunable Antiviral‐Like Immunomodulatory Responses and Potent Adjuvant Activity

Advanced Functional Materials, EarlyView.
We introduce a nucleic acid nanoparticle (NANP) platform designed to be rrecognized by the human innate immune system in a regulated manner. By changing chemical composition while maintaining constant architectural parameters, we identify key determinants of immunorecognition enabling the rational design of NANPs with tunable immune activation profiles
Martin Panigaj, Hannah S. Newton, Jian Wang, Laxmi Pandey, Yelixza I. Avilla, Phong Nguyen, Morgan Chandler, Justin Halman, Yasmine Radwan, Stephanie Smith, Elijah Edmondson, Simone Difilippantonio, Chelsea Sanders, Bao Tran, Yongmei Zhao, Shaojun Xie, Edward Cedrone, Barry W. Neun, Meni Wanunu, Nikolay V. Dokholyan, Marina A. Dobrovolskaia, Kirill A. Afonin   +21 more
wiley   +1 more source

Dealkylation of Poly(methyl methacrylate) by TiCl₄ Vapor Phase Infiltration (VPI) and the Resulting Chemical and Thermophysical Properties of the Hybrid Material. [PDF]

Chem Mater
Balogun SA, Yim SS, Yom T, Jean BC, Losego MD.   +4 more
europepmc   +1 more source

Clay Hybrid Materials.

Kobunshi, 1999
openaire   +2 more sources

Designing Thermally Compatible Template‐Coating Pairs Toward Dimensionally Stable 3D Porous Carbons with Tunable Density

Advanced Functional Materials, EarlyView.
3D porous carbons with tunable density are crucial for energy storage, separations, and load‐bearing applications; however, their fabrication is often constrained by shrinkage during pyrolysis. This study optimizes and demonstrates the versatility of a template–coating pair strategy, producing materials that largely retain their shape and hierarchical ...
Adarsh Suresh, Manuela Campos, Kendrick Xie, Elektra Makris, Jonah Lovejoy, Maya El Shamsy, Chong Liu, Stuart J Rowan   +7 more
wiley   +1 more source