Results 261 to 270 of about 1,302,839 (356)

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

A bi-stage data-driven process-based model for sorghum breeding and yield prediction: coupling explainable artificial intelligence and crop modeling. [PDF]

Front Plant Sci
Ni Z, Chang Y, Kemp J, Salas-Fernandez MG, Wang L.   +4 more
europepmc   +1 more source

DROUGHT TOLERANCE ASSESSMENT IN MAIZE HYBRIDS: MORPHOPHYSIOLOGICAL AND BIOCHEMICAL CHARACTERIZATION [PDF]

Z KTHIRI
openalex   +1 more source

Defects Dynamic in Photo‐Excited CeO2 and their Influence on CO2 Photoreduction

Advanced Functional Materials, EarlyView.
X‐ray photoelectron spectroscopy study under light excitation is presented to track the defect dynamic (Ce4+ to Ce3+) in CeO2. Surface enhanced Raman spectroscopy confirmed the key role of Ce3+ states in controlling charge and energy transfer across the CeO2‐dye molecule interface.
Rambabu Yalavarthi, Shashi B. Mishra, Olivier Henrotte, Emiliano Cortes   +3 more
wiley   +1 more source

The Influence of Miscibility of Some PLA-Based Bio-Hybrids Designed for 3D Printing and Medium-Life Applications on Their Physical Aging and Thermodynamic Stability. [PDF]

Polymers (Basel)
Dimonie D, Mathe S, Trușcă RD, Damian CM, Râpă M, Dima ȘO, Dumitru Ș, Oancea F.   +7 more
europepmc   +1 more source

Coal-gangue sound recognition using hybrid multi-branch CNN based on attention mechanism fusion in noisy environments

Qingjun Song, Wenchao Hao, Qinghui Song, Haiyan Jiang, Kai Li, Shirong Sun   +5 more
openalex   +1 more source

Trimming Aircraft on the Ground Based on the Hybrid Genetic Algorithm

, 2009
Lei Zhang, Qitao Huang, Hongzhou Jiang, Junwei Han   +3 more
openalex   +2 more sources

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

Overexpression of NtGSTU10 gene enhances nicotine content in hybrids by promoting the synthesis and transport metabolism of nicotine. [PDF]

BMC Biotechnol
Mo Z, Huang Y, Pi K, Duan L, Xie M, Long B, Liu R.   +6 more
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