Results 121 to 130 of about 13,939 (266)

Au-Decorated WS₂/SnO₂ Heterostructures for Enhanced Room-Temperature NO₂ Sensing. [PDF]

Sensors (Basel)
Choi MS, Kim JH.
europepmc   +1 more source

Design Principles of Electrocatalysts for Industrial‐Scale Water Electrolysis

Advanced Energy Materials, EarlyView.
This Review distills electrocatalyst design for industrial‐scale water electrolysis into integrated principles linking active‐site engineering, phase and lattice modulation, interfacial microenvironment regulation and mass‐transport control. By connecting catalyst families with HER/OER mechanisms and practical operating demands, it outlines pathways ...
Hong Tang, Cui Ce, John Wang
wiley   +1 more source

Unravelling Recombination Processes in Bifacial Guanidinium-Incorporated Perovskite Solar Cells with SnO₂ and TiO₂ ETLs. [PDF]

Materials (Basel)
Parkhomenko H, Karakuzu A, Sahare S, Solovan M, Ziółek M.   +4 more
europepmc   +1 more source

Nano‐Heterostructured TiO2‐TiO‐TiN/MoO3‐x‐Mo2N Composite LIB Anode With Enhanced Li+ Storage via Glycine‐assisted Anodization and Cathodic Deposition

Advanced Energy Materials, EarlyView.
A scalable, binder‐ and additive‐free strategy combining glycine‐assisted anodization and cathodic deposition is developed to fabricate a nano‐heterostructured composite LIB anode directly on titanium. Benefiting from its fully electrochemically active thick architecture, the anode delivers an outstanding areal capacity of 2639 µAh cm−2, nearly ...
Peng Wang, Hikaru Kaai, Jiacheng Liu, Shun Itatsu, Kohya Matsuhira, Erli Lin, Mengmeng Zhang, Shaoli Fang, Yoko Sakurai, Takashi Matsubara, Takehiko Hihara, Long Pan, Wei Zhang, ZhengMing Sun, Xiaopei Li, Song‐Zhu Kure‐Chu   +15 more
wiley   +1 more source

N-Type Metal Oxide Semiconductor Hydrogen Sensors: Mechanisms, Materials Design, and Interface Engineering Strategies. [PDF]

Nanomaterials (Basel)
Jung D.
europepmc   +1 more source

Fluorinated Methylammonium Cation Containing Perovskite Solar Cells With Over 25% Power Conversion Efficiency

Advanced Energy Materials, EarlyView.
Fluoromethylammonium iodide (FMAI) is prepared using a facile procedure through a simple nucleophilic reaction between fluoroiodomethane and ammonia in methanol and tested in n‐i‐p perovskite solar cells. FMA+ cation in combination with FA+ and Cs+ cations affords a power conversion efficiency close to 26% with a long‐term operational stability for ...
Justina Mikuciunaite, Bin Ding, Yuxuan Yang, Xiao‐Xin Gao, Vida Valipour, Yong Ding, Negar Ashari Astani, Jan Romano‐deGea, Lindsey E. K. Frederiksen, Farzaneh Fadaei Tirani, Vytautas Getautis, Yi Zhang, Mohammad Khaja Nazeeruddin, Kasparas Rakstys   +13 more
wiley   +1 more source

Synergistic dual-interface modification for high-performance CsPbBr₃ perovskite solar cells: a combined experimental and modeling study. [PDF]

RSC Adv
Li X, Bai Z, Chen Q, Zhang Z.
europepmc   +1 more source

MXene‐Derived Highly Oriented TiN Enables Ta3N5 Photoanodes for Transmission‐Mode Bias‐Free Solar Water Splitting

Advanced Energy Materials, EarlyView.
This work reports 2D MXene‐derived TiN thin films with (111)‐preferred orientation for transparent Ta3N5 photoanodes, demonstrating effective electron transfer behavior. All‐nitride electron‐collection architecture based on MXene‐derived TiN and n‐GaN resolves a long‐standing materials bottleneck between photocarrier transport and light transmission in
Jin Wook Yang, Hee Ryeong Kwon, Young Seon Yoon, Sung Yeon Lim, Tae Hyung Lee, Jiwoo Lee, Sung Hyuk Park, Sohyeon Park, Jungwon Park, Jin Young Kim, Ho Won Jang   +10 more
wiley   +1 more source

Adsorption of malachite green from aqueous solutions using a novel SnO₂/PANI-Co-PPy nanocomposite. [PDF]

RSC Adv
Damle G, Tiwari A, Saxena S, Sandhwar V, Saxena D, Mishra V, Jadhav D.   +6 more
europepmc   +1 more source

Deep Learning–Based Extraction of Promising Material Groups and Common Features from High‐Dimensional Data: A Case of Optical Spectra of Inorganic Crystals

Advanced Intelligent Discovery, EarlyView.
We report a novel interpretation method for deep learning models based on feature extraction and clustering. Applying this method to an atomistic line graph neural network (ALIGNN) model trained on optical absorption spectra of 2,681 inorganic compounds obtained from first‐principles calculations, we successfully identify key factors underlying ...
Akira Takahashi, Yu Kumagai, Arata Takamatsu, Fumiyasu Oba   +3 more
wiley   +1 more source