Results 101 to 110 of about 25,799,601 (304)

Decoupling Size and Electronic Effects in Doped SrTiO3 Photocatalysts Through Surface Area–Normalized CO2 Hydrogenation Rates

Advanced Functional Materials, EarlyView.
Exploring the photocatalytic reverse water–gas shift (RWGS) reaction on doped SrTiO3 nanoparticle films, reveals that normalizing catalytic rates by the catalyst's specific surface area (SSA) disentangled surface area effects from the catalyst's intrinsic material properties.
Dikshita Bhattacharyya, Baliana Shani, Isaac Holmes‐Gentle, Gerardo T Martinez, Martyn McLachlan, Nicola Seriani, Ludmilla Steier   +6 more
wiley   +1 more source

NEGATİF BİASLI FLOTASYON KOLONUNDA İNCE GANG TANELERİNİN SÜRÜKLENME MODELİ

Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi
Bu çalışmada, modifiye (negatif biaslı) flotasyon kolonunda ince gang tanelerinin sürüklenmesi araştırılmıştır. Sürüklenme, flotasyon işlemleri sırasında ince gang tanelerinin istem dışı konsantreye taşınması olayıdır ve konsantre kalitesini ...
Kemal Bilir, Bahri Öteyaka
doaj   +1 more source

Magnetosheath Jets Over Solar Cycle 24: An Empirical Model. [PDF]

J Geophys Res Space Phys, 2023
Vuorinen L, LaMoury AT, Hietala H, Koller F.   +3 more
europepmc   +1 more source

Smart, Bio‐Inspired Polymers and Bio‐Based Molecules Modified by Zwitterionic Motifs to Design Next‐Generation Materials for Medical Applications

Advanced Functional Materials, EarlyView.
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz, Jonas De Breuck, Sahar Salehi, Meike N. Leiske   +3 more
wiley   +1 more source

A Tracer Diffusion Study of Diverse Photo‐Ionic Phenomena in Strontium Titanate

Advanced Functional Materials, EarlyView.
Two strong interfacial photo‐ionic effects are demonstrated for the model system SrTiO3 through the application of isotope exchange experiments: UV illumination is found to enhance the oxygen surface exchange coefficient by several orders of magnitude and to depress the surface space‐charge potential substantially.
David M. Schwenkel, Timon F. Kielgas, George F. Harrington, Roger A. De Souza   +3 more
wiley   +1 more source

An Empirical Model for Predicting the Fresh Food Quality Changes during Storage. [PDF]

Foods, 2023
Sanad Alsbu RA, Yarlagadda P, Karim A.
europepmc   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

KADL: Knowledge-Aided Deep Learning Method for Radar Backscatter Prediction in Large-Scale Scenarios

Remote Sensing
Radar backscatter from large-scale scenarios plays a crucial role in remote sensing applications. However, due to the diversity and heterogeneity of the natural environment, traditional empirical methods which rely on simplified physics and a limited set
Dong Zhu, Peng Zhao, Qiang Zhao, Qingliang Li, Jinpeng Zhang, Lixia Yang   +5 more
doaj   +1 more source

Empirical model of teachers' neuroplasticity knowledge, mindset, and epistemological belief system. [PDF]

Front Psychol, 2022
Gholami K, Alikhani M, Tirri K.
europepmc   +1 more source

A general empirical model of protein evolution derived from multiple protein families using a maximum-likelihood approach.

Molecular biology and evolution, 2001
S. Whelan, N. Goldman
semanticscholar   +1 more source