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Materials Science
Materials Science
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15 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
262
days
Mechanism-guided multi-scale modeling of ESR slag viscosity in CaF 2 –CaO–Al 2 O 3 /SiO 2 via microstructural analysis and adaptive multi-source ensemble learning
AuthorsXi Chen; Wei-Yao Liang; Yan-Wu Dong; Ao Wang; Zhou-Hua Jiang; Yu-Xiao Liu
Affiliations1. School of Metallurgy, Northeastern University, Shenyang, China; 2. School of Materials Science and Engineering, Northeastern University, Shenyang, China; 3. Key Laboratory of Ecological Metallurgy of Multimetallic Mineral, Northeastern University, Shenyang, China
253
days
Effect of red mud modification at 1623 K on leaching behaviour of elements in steel slag
AuthorsJin-Yue Li; Chao-Gang Zhou; Wei Gong; Shu-Huan Wang; Da-Chao Qi; Xu Gao; Bing Deng; Qing Zhao; Pei-Wei Han
Affiliations1. College of Metallurgy and Energy, North China University of Science and Technology, Tangshan, China; 2. School of Mathematical Sciences, Guizhou Normal University, Guiyang, China; 3. Shougang Shuicheng Iron and Steel (Group) Co., Ltd., Liupanshui, China; 4. College of Materials Science and Engineering, Guizhou Minzu University, Guiyang, China; 5. Red Mud Utilization Project Department, Hebei WenFeng Industrial Group Co., Ltd., Tangshan, China; 6. School of Metallurgy and Environment, Central South University, Changsha, China; 7. State Key Laboratory of Iron and Steel Industry Environmental Protection, School of Environment, Tsinghua University, Beijing, China; 8. School of Metallurgy, Northeastern University, Shenyang, China; 9. State Key Laboratory of Mesoscience and Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, China
279
days
Converter steelmaking technology with 40% high scrap ratio via bottom-injected carbon-based thermal compensation: pilot demonstration for industrial decarbonization
AuthorsZhi-Yong Liu; Xin Ren; Rong Zhu; Xiao-Fang Jia; Kang-Lin Zuo; Rui-Zhi Wang; Guang-Sheng Wei; Chao Feng; Kai Dong
Affiliations1. Institute for Carbon Neutrality, University of Science and Technology Beijing, Beijing, China; 2. BAOWU Steel Group Central Research Institute, Shanghai, China
196
days
Corrosion behavior of electrolytic pure iron
AuthorsDi Zhang; Gang-Sheng Xie; Meng-Xiao Li; Li-Ya Guo; Yu-Lin Xia; Zhou-Yan Cai; Teng-Shi Liu; Han Dong
Affiliations1. School of Materials Science and Engineering, Shanghai University, Shanghai, China; 2. Zhejiang Institute of Advanced Materials, Shanghai University, Jiaxing, China; 3. State Key Laboratory of Materials for Advanced Nuclear Energy, Shanghai, China
209
days
Tribological behavior of austenitic stainless steels for in-core flux thimble system in a pure water environment
AuthorsMing-Rui Gong; Zhi-Chao Zhao; Xiao-Guang Yang; Sheng-Li Jiang; De-Li Duan
Affiliations1. School of Materials Science and Engineering, University of Science and Technology of China, Shenyang, China; 2. CAS Key Laboratory of Nuclear Materials and Safety Assessments, Institute of Metal Research, Chinese Academy of Sciences, Shenyang, China; 3. Shi-Changxu Innovation Center for Advanced Materials, Institute of Metal Research, Chinese Academy of Sciences, Shenyang, China; 4. Liaoning Key Laboratory of Aero-Engine Materials Tribology, Institute of Metal Research, Chinese Academy of Sciences, Shenyang, China
Expert Matching · Case Demo
Turn Your Submission Goalsinto a Verifiable Journal Plan
Share your field, deadline, and author profile. CrushSCI uses real review records to suggest a title direction, shortlist journals, and estimate timelines.
Client
I work in environmental engineering and need an SCI paper published within three months. I have no grant funding or prominent co-author. Which journals could I target?
CrushSCI
Yes. We will first screen for feasibility against the 90-day deadline, then identify comparable papers without grant support or prominent co-authors. The final shortlist will prioritize research quality and journal scope.
- Suggested title
- Machine Learning and Life-Cycle Assessment for Predicting and Optimizing Carbon Emissions in Urban Wastewater Treatment
- Database shortlist
- Environmental Technology & Innovation
SampleLatest 5 valid paper samples from 2026
Average review96.4 days
Median77 days