Results 191 to 200 of about 64,111 (305)

Synthetic Surface Design of Transparent Electrodes for Enhanced Molecular Contact in Perovskite Solar Cells

Advanced Energy Materials, EarlyView.
A simple solution‐based ITO surface treatment unlocks the full potential of phosphonic‐acid SAMs by balancing surface hydroxylation, conductivity, and homogeneity. Moderately hydroxylated interfaces yield uniform, electronically favourable contacts, enhancing charge extraction, stability, and thermal‐cycling resilience, with broad applicability across ...
Rik Hooijer, Sunwoo Kim, Sebastian Klenk, Hao Zhu, Cem Yilmaz, Yenal Yalcinkaya, Doyun Im, Anna S. Backeberg, Jian Huang, Meriem Bouraoui, Ali Buyruk, Esma Ugur, Clément Maheu, Achim Hartschuh, Frédéric Laquai, Lukas Schmidt‐Mende, Georg S. Duesberg, Sangwook Lee, Erkan Aydin   +18 more
wiley   +1 more source

Electrochemically Controlled Raman Response in Electropolymerized Polymethylene Blue-Gold Nanoparticle Films on Screen-Printed Carbon Electrodes. [PDF]

ACS Omega
Borja A, Basso FA, Kavazoi HS, Brett CMA, Aléssio P, Martin CS.   +5 more
europepmc   +1 more source

Toward Environmentally Friendly Hydrogel‐Based Flexible Intelligent Sensor Systems

Advanced Intelligent Discovery, EarlyView.
This review summarizes environmentally and biologically friendly hydrogel‐based flexible sensor systems focusing on physical, chemical, and physiological sensors. Furthermore, device concepts moving forward for the practical application are discussed about wireless integration, the interface between hydrogel and dry electronics, automatic data analysis
Sudipta Kumar Sarkar, Kuniharu Takei
wiley   +1 more source

Effect of Cation Type on the Isothermal Crystallization of Poly(vinylidene fluoride) Blended in Ionic Liquids with [Eu(tta)₄]^- Anion. [PDF]

J Phys Chem C Nanomater Interfaces
Martins LA, Gómez Ribelles JL, Costa CM, de Zea Bermudez V, Correia DM, Dionisio M, Andrio A, Krakowsky I, Sabater I Serra R, Lanceros-Méndez S, Tort-Ausina I.   +10 more
europepmc   +1 more source

Advancements in Graphdiyne‐Based Multiscale Catalysts for Green Hydrogen Energy Conversion

Advanced Intelligent Discovery, EarlyView.
This review systematically explores the fundamental characteristics of graphdiyne (GDY), cutting‐edge field of GDY‐based multiscale catalysts within sustainable energy conversion systems.Special emphasis is placed on the structure‒property relationships in different reactions.
Qian Xiao, Lu Qi, Siao Chen, Yurui Xue
wiley   +1 more source

Exploring the Synergistic Effects of Ultrafine Polyaniline Nanofibers and Oxygen-Modified Multi-Walled Carbon Nanotubes on Enhancing Pseudocapacitive Electrochemical Performance for Advanced Supercapacitors. [PDF]

Materials (Basel)
Djefaflia F, Guellati O, Merzoug AN, Harat A, El Haskouri J, Janowska I, Baibarac M.   +6 more
europepmc   +1 more source

Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring

Advanced Intelligent Discovery, EarlyView.
A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira, Marcos de C. Leite, Pedro H. M. Zanineli, Juliana N. Y. Costa, Débora M. Cunha, Sophia P. Serra, Pedro H. Sophia, Flávio M. Shimizu, Yasmin W. Moura, Célio C. Oliveira, Gabriel R. Schleder, Gabriela F. Persinoti, Leandro Merces, Renato S. Lima   +13 more
wiley   +1 more source

Electrochemistry of Organic and Organometallic Compounds. [PDF]

Molecules
Torriero AAJ.
europepmc   +1 more source

Machine Learning‐Assisted Second‐Order Perturbation Theory for Chemical Potential Correction Toward Hubbard U Determination

Advanced Intelligent Discovery, EarlyView.
In this work, the Doubao large language model (LLM) is involved in the formula derivation processes for Hubbard U determination regarding the second‐order perturbations of the chemical potential. The core ML tool is optimized for physical domain knowledge, which is not limited to parameter prediction but rather serves as an interactive physical theory ...
Mingzi Sun, Tong Wu, Baian Chen, Zikang Li, Qiuyang Lu, Lu Lu, Hon Ho Wong, Cheuk Hei Chan, Bolong Huang   +8 more
wiley   +1 more source