Results 171 to 180 of about 508,530 (339)

Research on reasonable length of steeply dipping coal seam working face based on the fuzzy comprehensive evaluation method. [PDF]

Sci Rep
Zhang H, Guo Z, Ma F, Liu Y.
europepmc   +1 more source

Advancing Energy Materials by In Situ Atomic Scale Methods

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss, Michael Seibt, Martin Wenderoth, Oliver Bünermann, Ole Bunjes, Till Domröse, Christian Eckel, Francesca Falorsi, Christoph Flathmann, Monica Kolek Martinez de Azagra, Matthias Krüger, Jonas Lindner, Tobias Meyer, Claus Ropers, Ulrich Ross, Kai Rossnagel, Sreeju Sreekantan Nair Lalithambika, Simone Techert, Georg A. Traeger, Cynthia Volkert, R. Thomas Weitz, Alec M. Wodtke   +21 more
wiley   +1 more source

Post-evaluation model for 500 kV substation engineering projects using the fuzzy comprehensive evaluation method. [PDF]

Heliyon
Chen J, Zhuang Y, Chen S, Zhang Z, Zhang Y.   +4 more
europepmc   +1 more source

Multimodal Strategy for Efficient Semi‐Transparent Perovskite Solar Cells and Modules with Record Indoor Performance

Advanced Energy Materials, EarlyView.
A multimodal strategy creates efficient semi‐transparent perovskite solar cells with a record 4.29% light utilization efficiency and 22.41% indoor performance. This approach enables the first scalable 30 x 30 cm2 semi‐transparent solar module, highlighting its potential for building‐integrated and indoor photovoltaics.
Siming Huang, Shanyue Hou, Yuting Wang, Yinheng Ren, Yujie Wo, Jingdong Xu, Jinzhao Qin, Galyam Sanfo, Zahra Albu, Kai Qiu, Himal Muwanwella, Iona Hill, Yuelong Huang, Rebecca L. Milot, Xiang Liu, Muhammad Tariq Sajjad, Mojtaba Abdi‐Jalebi   +16 more
wiley   +1 more source

Identification and evaluation of deep foundation pit construction risks based on Grey-DEMATEL-Fuzzy comprehensive evaluation method. [PDF]

PLoS One
Hao H, Jian H, Peiling L, Cong Z.
europepmc   +1 more source

Analytical Hierarchy Process in Fuzzy Comprehensive Evaluation Method

Asia-pacific Journal of Convergent Research Interchange, 2015
openaire   +1 more source

Copper Contact for Perovskite Solar Cells: Properties, Interfaces, and Scalable Integration

Advanced Energy and Sustainability Research, EarlyView.
Copper electrodes, as low‐cost, scalable contacts for perovskite solar cells, offer several advantages over precious metals such as Au and Ag, including performance, cost, deposition methods, and interfacial engineering. Copper (Cu) electrodes are increasingly considered practical, sustainable alternatives to noble‐metal contacts in perovskite solar ...
Shuwei Cao, Jianyong Han, Xiaohu Zhao, Yaming Yu, Peng Gao   +4 more
wiley   +1 more source

Unveiling Localized Heat in Lithium‐Ion Cells for Intelligent Temperature Sensing

Advanced Energy and Sustainability Research, EarlyView.
Heat generation, thermal responses, and intelligent management in batteries. Lithium‐ion batteries (LIBs) power electric vehicles, portable electronics, and grid‐scale storage, yet their safety, performance, and lifetime are constrained by thermal effects.
Yunke Wang, Yuzhu Yuan, Javed Alam, Guangpeng Zhang, José V. Anguita, Zijian Wang, Kai Yang   +6 more
wiley   +1 more source

Climate Change Mitigation in the Dairy Sector: Uncovering Heterogeneity Through Eco‐Efficiency Clubs

Agribusiness, EarlyView.
ABSTRACT Combining climate change goals with economic targets is crucial for the dairy sector, which is a significant contributor to agricultural greenhouse gas (GHG) emissions worldwide. In this paper, we assess economic and climate change implications of dairy production with panel data of Irish dairy farms from 2013 to 2021.
Doris Läpple, Christian Stetter, Cathal Buckley   +2 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source