Results 231 to 240 of about 1,547,786 (344)

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

Integrating multiple seismic attributes for fault detection using a new hybrid machine learning. [PDF]

Sci Rep
Esmaeili H, Bagheri M, Esmaeili S.
europepmc   +1 more source

Modellbasierte Methoden zur Modellierung des Zielsystems und des Funktions-Gestalt-Zusammenhangs zur Unterstützung der Serienentwicklung von Baukästen am Beispiel von Hybrid-Triebstrangsystemen = Model Based Methods for the Modeling of the System of Objectives and the Correlation between Form and Function to support the Series Development of Modular Systems Using the Example of Hybrid Powertrains

, 2016
Helmut Scherer
openalex   +1 more source

Additional file 2 of Development of a relevant strategy using de novo transcriptome assembly method for transcriptome comparisons between Muscovy and common duck species and their reciprocal inter-specific mule and hinny hybrids fed ad libitum and overfed

, 2020
Xi Liu, Frédéric Herault, Christian Diot, Erwan Corre   +3 more
openalex   +1 more source

Using In Situ TEM to Understand the Surfaces of Electrocatalysts at Reaction Conditions: Single‐Atoms to Nanoparticles

Advanced Functional Materials, EarlyView.
This review summarizes recent advances in closed‐cell in situ TEM strategies for accurate determination of the activity and stability of single‐atom catalyst systems during operation. Operando conditions causing dynamic changes of SAC systems are highlighted and we explain why ensemble average‐based optical techniques may benefit from the technological
Martin Ek, Soshan Cheong, Julie Cairney, Richard D. Tilley, Ingemar Persson   +4 more
wiley   +1 more source

A Review of Direct Recycling Processes for Lithium-Ion Battery Cells. [PDF]

Materials (Basel)
Łach M, Przybek A, Duda P, Bielaczyc P.
europepmc   +1 more source

Comparative Benchmarking of Bayesian Optimization Hybrid Strategies for Efficient Hplc-Fld Method Development of Pahs

Selman Kander
openalex   +1 more source

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

Investigation of Hydrogen Gas Sensing Properties of WSe₂, Ag₂Se, WSe₂/Ag₂Se Nanostructured Electrodes Synthesized by Electrochemical Methods. [PDF]

ACS Omega
Bayrakçeken Ni̇şancı F.
europepmc   +1 more source