Results 111 to 120 of about 31,429 (335)

Synthesis of N‐Doped Graphene Photo‐Catalyst for Photo‐Assisted Charging of Li‐Ion Oxygen Battery

Global Challenges
In this work, nitrogen (N)‐doped graphene film is synthesized, as a photo‐catalyst, on one side of the copper foam by chemical vapor deposition and the copper foam is directly used as an electrode after porous Pd@rGO cathode loading to the other side of ...
Nilay Kaçar, Ersu Lökçü, Meltem Çayirli, Reşat Can Özden, Sahin Coskun, Cigdem Toparli, İbrahim Çelikyürek, Mustafa Anik   +7 more
doaj   +1 more source

Functionally Graded Materials and Structures: Unified Approach by Optimal Design, Metal Additive Manufacturing, and Image-Based Characterization

Materials
Functionally Graded Materials (FGMs) can outperform their homogeneous counterparts. Advances in digitalization technologies, mainly additive manufacturing, have enabled the synthesis of materials with tailored properties and functionalities.
Rui F. Silva, Pedro G. Coelho, Carolina V. Gustavo, Cláudia J. Almeida, Francisco Werley Cipriano Farias, V. Duarte, J. Xavier, Marcos B Esteves, F. Conde, Filipa G. Cunha, T. G. Santos   +10 more
semanticscholar   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

Microstructure of aluminum alloys, First Metallurgical & Materials Engineering Congress of South-East Europe

, 2013
Microstructure of aluminum alloys, First Metallurgical & Materials Engineering Congress of South-East Europe (MME SEE ...
R. Radiša, S. Manasijević, S. Marković   +2 more
core   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Particle-Level Engineering of Cu–Al–Ni Shape Memory Alloy Powders via Cryogenic Milling and Electroless Ni Coating

Metals
At particle-level engineering, this study mainly focused on the issues of microstructural heterogeneity and the high oxidation susceptibility of Cu-Al-Ni shape memory alloys (SMAs) suitable for high-temperature actuation. Initial powders of Cu (82–83 wt.%
Onur Güler, Mücahit Kocaman, Yaren Adabaş, Serdar Özkaya, Temel Varol, Serhatcan Berk Akçay, Hamdullah Çuvalcı   +6 more
doaj   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

Engineered materials for appliation in severe metallurgical environments; Tantalum-carbon alloy development [PDF]

, 1995
A suite of investigations has been completed to develop and demonstrate a construction material for use in severely corrosive metallurgical processing environments. The material is a tantalum-base alloy with inclusions of Ta{sub 2}C. Alloy development work involved multi-step thermal processing to invoke specific microstructural features.
openaire   +2 more sources

High‐Throughput Data Generation and Transfer Learning Enabled Microstructure‐Property Integrated Design of Nickel‐Based Powder Metallurgy Superalloy

Advanced Science, EarlyView.
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li, Hongtao Zhang, Zichao Peng, Yuheng Zhang, Qian Lv, Yihuan Cao, Xuqing Wang, Huadong Fu, Jianxin Xie   +8 more
wiley   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source