Results 211 to 220 of about 1,487,728 (380)

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

Ionization potential depression model with the influence of neighboring ions in warm and dense plasmas. [PDF]

Sci Rep
Wu C, Sun J, Song Q, Zeng C, Gao X, Yan J.   +5 more
europepmc   +1 more source

Current progress in developing the nonlinear ionization theory of atoms and ions

, 2015
B. Karnakov, V. Mur, S. Popruzhenko, V. Popov   +3 more
semanticscholar   +1 more source

Highly Selective Toward HER or CO2RR by Regulating Cu Single and Dual Atoms on g‐C3N4

Advanced Functional Materials, EarlyView.
This systematic study provides insights into the design of electrocatalysts for hydrogen evolution reaction (HER) and carbon dioxide reduction (CO2RR). It serves as a useful guide for tuning catalyst architecture toward efficient multifunctional performance by varying synthetic parameters, demonstrating the impact of copper (Cu) species ranging from ...
Wan‐Ting Chen, Hung Wei Shiu, Yu‐Xun Chen, Erdembayalag Batsaikhan, Yu‐Ling Lai, Su Ling Cheng, Tohru Araki, Jyh‐Fu Lee, Michitoshi Hayashi, Yao‐Jane Hsu   +9 more
wiley   +1 more source

Ultra-high-brightness and tuneable attosecond-long electron beams with the laser wake field acceleration. [PDF]

Sci Rep
Tomassini P, Avella F, Hafz NAM, Labate L, Horný V, Tóth S, Doria D, Gizzi LA.   +7 more
europepmc   +1 more source

Assuming Ionization Equilibrium and the Impact on the Lyα Forest Power Spectrum during the End of Reionization at 8 ≥ z ≥ 5

, 2022
Samir Kušmić, Kristian Finlator, Laura C. Keating, Ezra Huscher   +3 more
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, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Development of GALDI-FT-ICR-MS Methods for the Analysis of Xylan Oligomers. [PDF]

Biomacromolecules
Sander K, Zuber J, Brendler E, Vogt C.
europepmc   +1 more source

Laser-induced breakdown spectroscopy determination of K in biochar-based fertilizers in the presence of easily ionizable element

, 2018
Carla Pereira de Morais, Ariane Isis Barros, Marcos André Bechlin, Tiago Varão Silva, Dário Santos Júnior, N. Senesi, Marisa Spirandeli Crespi, Clóvis Augusto Ribeiro, José Anchieta Gomes Neto, Edilene Cristina Ferreira   +9 more
openalex   +2 more sources

Calcium (Ionized and Total), Magnesium, Phosphorus, and Glucose in Plasma from Parturient Cows [PDF]

, 1972
J. W. Blum, C.F. Ramberg, K. Johnson, D. S. Kronfeld   +3 more
openalex   +1 more source