Results 171 to 180 of about 95,212 (236)

‘Oxygen Bound to Magnesium’ as High Voltage Redox Center Causes Sloping of the Potential Profile in Mg‐Doped Layered Oxides for Na‐Ion Batteries

Advanced Functional Materials, EarlyView.
Na‐ion batteries ‐ Impact of doping on the oxygen redox: The sloping potential of NaMg0.1Ni0.4Mn0.5O2 above 4.0 V is caused by a new redox center (arising from the ‘O bound to Mg’), having a higher potential but being more irreversible compared to the ‘O bound to Ni’.
Yongchun Li, Konstantin Köster, Katherine A. Mazzio, Yanan Sun, Annica I. Freytag, Deniz Wong, Christian Schulz, Götz Schuck, Volodymyr Baran, Alba San Jose Mendez, Marcin Zając, Payam Kaghazchi, Philipp Adelhelm   +12 more
wiley   +1 more source

Application of metal oxides thin-film catalysts in structured catalytic ozonation reactor for dye and by-product detoxification. [PDF]

Sci Rep
Bilińska M, Bilińska L, Fronczak M, Kędzierska-Sar A, Kierzkowska-Pawlak H, Gmurek M.   +5 more
europepmc   +1 more source

Tuning the Electronic Structure and Spin State of Fe─N─C Catalysts Using an Axial Oxygen Ligand and Fe Clusters for High‐Efficiency Rechargeable Zinc–Air Batteries

Advanced Functional Materials, EarlyView.
A FeN4─O/Clu@NC‐0.1Ac catalyst containing atomically‐dispersed FeN4─O sites (medium‐spin Fe2+) and Fe clusters delivered a half‐wave potential of 0.89 V for ORR and an overpotential of 330 mV at 10 mA cm−2 for OER in 0.1 m KOH. When the catalyst was used in a rechargeable Zn–air battery, a power density of 284.5 mW cm−2 was achieved with excellent ...
Yongfang Zhou, Yu Mao, Mengyao Chang, Ziyun Wang, Wenke Xie, Cuizhu Ye, Shanghai Wei, Lars Thomsen, Geoffrey I. N. Waterhouse   +8 more
wiley   +1 more source

Metal oxides and their composites for the remediation of organic pesticides: advanced photocatalytic and adsorptive solutions. [PDF]

RSC Adv
Kamel AH, Abd-Rabboh HSM, Abd El-Fattah A, Boudghene Stambouli G, Adeida L.   +4 more
europepmc   +1 more source

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

Correction to "Ciprofloxacin Electrochemical Sensor Using Copper-Iron Mixed Metal Oxides Nanoparticles/Reduced Graphene Oxide Composite". [PDF]

ACS Omega
Chuiprasert J, Srinives S, Boontanon N, Polprasert C, Ramungul N, Karawek A, Kitpati Boontanon S.   +6 more
europepmc   +1 more source

Trap‐Modified Inverted Organic Photodetectors via Layer‐by‐Layer Processing with Poly(N‐vinylcarbazole) Additives

Advanced Functional Materials, EarlyView.
Trap state engineering in inverted organic photodetectors (OPDs) is achieved via combined layer‐by‐layer (LbL) processing and poly(N‐vinylcarbazole) (PVK) incorporation. LbL reduces the trap density while PVK additives gradually shift trap states from shallow band‐edge to deep mid‐gap levels, tailoring the energy distribution.
Jingwei Yi, Yi Yang, Yusen Pei, Apurva Gadikar, Vahid Mahdikhah, Myratgeldi Kotyrov, Seung Hyun Kim, Kenan Gundogdu, Wei You, Harald Ade, Franky So   +10 more
wiley   +1 more source

Synthesis and characterization of kaolin glass cullet ceramics modified with transition metal oxides for enhanced mechanical and optical properties. [PDF]

Sci Rep
Khattab RM, Marzouk MA, Sadek HEH.
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

Impact of metal oxides on thermal response of zirconia coated diesel engines fueled by Momordica biodiesel machine learning insights. [PDF]

Sci Rep
Shaisundaram VS, Elumalai PV, Padmanabhan S, Ramachandran UN, Tripathi AK, Yaping C, Goud BN, Prabhakar S.   +7 more
europepmc   +1 more source