Results 151 to 160 of about 1,313,618 (354)
Structural and Electronic Properties of Pristine and Doped Polythiophene: Periodic versus Molecular Calculations [PDF]
, 2015 Thaneshwor P. Kaloni +2 more
openalex +1 more source
Advanced Functional Materials, EarlyView.A bespoke multilayer thin film configuration has been designed, which overcomes the material dependency of conventional isotope exchange Raman spectroscopy (IERS). This universal IERS methodology is efficient, non‐destructive and provides additional structural information and time resolution, which can be further extended to various isotopic elements ...
Zonghao Shen +7 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Multicolor optoelectronic synapses are realized by vertically integrating solution‐processed MoS2 thin‐film and SWCNT. The electronically disconnected but interactive MoS2 enables photon‐modulated remote doping, producing a bi‐directional photoresponse.
Jihyun Kim +8 more
wiley +1 more source
Device Integration Technology for Practical Flexible Electronics Systems
Advanced Functional Materials, EarlyView.Flexible device integration technologies are essential for realizing practical flexible electronic systems. In this review paper, wiring and bonding techniques critical for the industrial‐scale manufacturing of wearable devices are emphasized based on flexible electronics.
Masahito Takakuwa +5 more
wiley +1 more source
In Vitro Metabolism and Analytical Characterization of SLU-PP-332 and SLU-PP-915: Novel Pan-ERR Agonists With Doping Potential. [PDF]
Rapid Commun Mass SpectromMöller T, Krug O, Thevis M.
europepmc +1 more source
Synthesis of finely dispersed forms of zinc oxide doped with rare-earth elements (review)
, 2019 Ainagul Kemelbekova +1 more
openalex +1 more source
Peculiarities in low temperature properties of doped manganites A B MnO [PDF]
, 2000 M.O. Dzero, L.P. Gor'kov, V.Z. Kresin
openalex +1 more source
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 +7 more
wiley +1 more source
The Effect of Educational Intervention on Legal Anti-Doping Knowledge and Doping Tendency in Elite Athletes. [PDF]
Sports (Basel)Sinkovic A +6 more
europepmc +1 more source
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 +4 more
wiley +1 more source