Results 251 to 260 of about 137,955 (315)

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

Spectroscopic Supermassive Dark Star candidates. [PDF]

Proc Natl Acad Sci U S A
Ilie C, Mahmud SS, Paulin J, Freese K.
europepmc   +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

Thermal Phase‐Modulation of Thickness‐Dependent CVD‐Grown 2D In2Se3

Advanced Functional Materials, EarlyView.
A comprehensive study of CVD‐grown 2D In2Se3 reveals a distinct thickness‐dependent phase landscape and a reversible, thermally driven transformation between β″ and β* variants. In situ TEM electron diffraction and Raman spectroscopy reveal structural dynamics, while the structural invariance of the α‐phase in ultrathin regimes highlights its stability—
Dasun P. W. Guruge, Zhenhuan Chen, Joseph F. S. Fernando, Chao Zhang, Liangzhi Kou, Konstantin L. Firestein, Dmitri V. Golberg   +6 more
wiley   +1 more source

A Perspective on Unintentional Fragments and Their Impact on the Dark Metabolome, Untargeted Profiling, Molecular Networking, Public Data, and Repository Scale Analysis. [PDF]

JACS Au
El Abiead Y, Mohanty I, Xing S, Rutz A, Charron-Lamoureux V, Damiani T, Lu W, Patti GJ, Zamboni N, Yanes O, Dorrestein PC.   +10 more
europepmc   +1 more source

Scalar coupling limits with unitarity, stability and diphoton Higgs decay from LHC in an $U(1)'$ model plus a scalar dark matter [PDF]

, 2014
Roberto Martínez, J. Nisperuza, F. Ochoa, Juan Rubio, Cristian Sierra   +4 more
openalex  

Photoluminescent UV Light Modulation via Anisometric Carbon Nanodots for UV–Visible Shutter and UV Sensor

Advanced Functional Materials, EarlyView.
Anisometric carbon nanodots are synthesized directly from a liquid crystal precursor and embedded into polymer network liquid crystals to create soft, multifunctional photonic films. These hybrid devices exhibit polarized photoluminescence, broad UV absorption, and fast, electrically tunable light modulation.
Mangesh D. Patekari, Archana Ramadas, Minhee Yun, Seung Hee Lee, MinSu Kim   +4 more
wiley   +1 more source

Longitudinal associations between adolescent adversity, brain development and behavioural and emotional problems. [PDF]

Dev Cogn Neurosci
Pollmann A, Rakesh D, Fuhrmann D.
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