Results 61 to 70 of about 2,844,127 (304)

A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys

Advanced Engineering Materials, EarlyView.
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin, Marta Campolucci, Nicolas de Andrade Ishiki, Nathan Mirgot, Nadir Zhamantay, Frédéric Kanoufi, Jennifer Peron, Jean Charlety, Emiliano Fonda, Valérie Briois, Marco Faustini, Maria‐Letizia De Marco, Christine Goyhenex, Ovidiu Ersen, Hervé Bulou   +14 more
wiley   +1 more source

Monodisperse Carbon Nanospheres with Hierarchical Porous Structure as Electrode Material for Supercapacitor

Nanoscale Research Letters, 2017
Carbon nanospheres with distinguishable microstructure were prepared by carbonization and subsequent KOH activation of F108/resorcinol-formaldehyde composites.
Xiutao Yang, Hui Xia, Zhongguan Liang, Haiyan Li, Hongwen Yu   +4 more
doaj   +1 more source

Nanoarchitectonics of Nanoporous Carbon Materials in Supercapacitors Applications

Nanomaterials, 2020
High surface area and large pore volume carbon materials having hierarchical nanoporous structure are required in high performance supercapacitors. Such nanoporous carbon materials can be fabricated from organic precursors with high carbon content, such ...
Rekha Goswami Shrestha, Subrata Maji, Lok Kumar Shrestha, Katsuhiko Ariga   +3 more
doaj   +1 more source

Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning

Advanced Engineering Materials, EarlyView.
Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose, Sanxchep Sharma, Veit Königer, Vincent Nebel, Jonas Oehm, Christian Weisenberger, Laura Bies, Volker Knoblauch   +7 more
wiley   +1 more source

Three-Dimensional Honeycomb-Like Porous Carbon with Both Interconnected Hierarchical Porosity and Nitrogen Self-Doping from Cotton Seed Husk for Supercapacitor Electrode

Nanomaterials, 2018
Hierarchical porous structures with surface nitrogen-doped porous carbon are current research topics of interest for high performance supercapacitor electrode materials.
Hui Chen, Gang Wang, Long Chen, Bin Dai, Feng Yu   +4 more
doaj   +1 more source

Biomass Native Structure Into Functional Carbon‐Based Catalysts for Fenton‐Like Reactions

Advanced Functional Materials, EarlyView.
This study indicates that eight biomasses with 2D flaky and 1D acicular structures influence surface O types, morphology, defects, N doping, sp2 C, and Co nanoparticles loading in three series of carbon, N‐doped carbon, and cobalt/graphitic carbon. This work identifies how these structural factors impact catalytic pathways, enhancing selective electron
Wenjie Tian, Jingkai Lin, Zhihao Tian, Selusiwe Ncube, Huayang Zhang, Emiliano Cortés, Hongqi Sun, Shaobin Wang   +7 more
wiley   +1 more source

Synthesis of Nitrogen and Phosphorus co-doped Carbon with Tunable Hierarchical Porous Structure from Rice Husk for High Performance Supercapacitors

International Journal of Electrochemical Science, 2020
Nitrogen and phosphorus co-doped porous carbon(N/P-PC) was prepared via a simple direct pyrolysis method using rice husks as the carbon source and H3PO4 as the phosphorus source and activator. The acquired products are typical hierarchical porous carbons
Yuning Qu, Lin Liu, Lisha Li, Shuya Wen, Dan Wei, Ningru Xiao, Feng Yan, Jianguo Yu, Lili Wang   +8 more
doaj   +1 more source

Advances in Sustainable and Wearable Textile Based Soft Robotics

Advanced Functional Materials, EarlyView.
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas, Marzia Dulal, Sophia K. Novoselov, Victoria K. Novoselov, Kostya S. Novoselov, Shaila Afroj, Nazmul Karim   +6 more
wiley   +1 more source

Digested sludge-derived three-dimensional hierarchical porous carbon for high-performance supercapacitor electrode [PDF]

Royal Society Open Science, 2018
Digested sludge, as the main by-product of the sewage sludge anaerobic digestion process, still contains considerable organic compounds. In this protocol, we report a facile method for preparing digested sludge-derived self-doped porous carbon material ...
Jia-Jia Zhang, Hao-Xiang Fan, Xiao-Hu Dai, Shi-Jie Yuan   +3 more
doaj   +1 more source

Hierarchical Porous Graphene Carbon-Based Supercapacitors

, 2016
A high-rate graphene-based supercapacitor is very attractive for the practical application of graphene. Here, we first synthesized the films of the hybrids of biomass cellulose and large literal sheet sizes and weakly defective graphene flakes reaching ...
Chunxiang Lu (1631122), Huinian Zhang (1631119), Junying Wang (509009), Congwei Wang (1631116), Jianlin Huang (740112), Junzhong Wang (212697)   +5 more
core   +1 more source