Results 61 to 70 of about 1,316 (183)

Thermodynamic Study on Initial Oxidation Behavior of TiAl-Nb Alloys at High Temperature

Metals, 2023
The initial oxidation behavior of TiAl-Nb alloys was systematically investigated against the composition, temperature, and partial pressure of O2 with the CALculation of PHAse Diagrams (CALPHAD) technique.
Zicheng Dong, Aihan Feng, Hao Wang, Shoujiang Qu, Hao Wang   +4 more
doaj   +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

Phase Transformations and Structural Transformations of Manganese Silicides in the Si-Mn System

East European Journal of Physics
A comprehensive investigation of thermally induced phase transformations in the silicon-manganese (Si–Mn) system was conducted. The study utilized X-ray diffraction (XRD), Raman spectroscopy (including chemical Raman mapping), scanning electron ...
Sh.B. Utamuradova, Sh.Kh. Daliev, J.J. Khamdamov, Kh.J. Matchonov, A.Kh. Khaitbaev   +4 more
doaj   +1 more source

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

Phase diagram construction and prediction method based on machine learning algorithms

Journal of Materials Research and Technology
Phase diagram, which is known as the “compass” and “map” of materials research, plays a guiding role in the material design and development. Conventional CALPHAD method could provide the detailed information on the phase equilibria via the assessment of ...
Shengkun Xi, Jiahui Li, Longke Bao, Rongpei Shi, Haijun Zhang, Xiaoyu Chong, Zhou Li, Cuiping Wang, Xingjun Liu   +8 more
doaj   +1 more source

Entropy Decoding the Fundamental Law of Phase Competition in Glass Formation

Advanced Science, EarlyView.
We validate the integration of intermetallic and eutectic phases as initial phases for composition design. The phase competition mechanism in glass formation is quantitatively clarified based on the melting entropy of competing phases. Glass‐forming ability is modulated by tuning phase competition via the melting entropy of initial phases.
Benke Huo, Zhengqing Cai, Bingtao Wang, Zhenqiang Song, Shi‐Dong Feng, Zijing Li, Xingjun Liu, Li‐Min Wang   +7 more
wiley   +1 more source

Large Language Model‐Informed Dual‐Track AI Framework for the Synergistic Design of Crack‐Free and High‐Strength Superalloys

Advanced Science, EarlyView.
This paper illustrates a knowledge‐augmented dual‐track AI framework for advanced superalloy design. First, Large Language Models translate metallurgical heuristics into explicit rules to rapidly prune a vast compositional search space. Subsequently, LLM‐distilled priors safely guide a reinforcement learning agent during autonomous process optimization,
Jian Yao, Junkang Wu, Jie Su, Fuzhu Wang, Zi Wang, Li Wang, Liming Tan, Lan Huang, Feng Liu, Yong Liu   +9 more
wiley   +1 more source

Chemically Gradient Ordered Nanodomains Enable Large Tensile Ductility in Gigapascal Lightweight Refractory High‐Entropy Alloys

Advanced Science, EarlyView.
A high‐strength lightweight refractory high‐entropy alloy achieves extraordinary ductility owing to the introduction of coherent chemically gradient ordered nanodomains (CGONs). The CGONs not only serve as effective barriers to dislocation motion (strengthening) but also significantly promote dislocation nucleation and multiplication (ductilizing) upon
Wei Zhang, Dingshun Yan, Yong Zhang, Zhiming Li   +3 more
wiley   +1 more source

Advances in Computational and Experimental Approaches to Chemical Short‐Range Order Formation in Multi‐Principal Element Alloys

Advanced Science, EarlyView.
Chemical short‐range order (CSRO) plays a central role in governing the behavior of multi‐principal element alloys. This perspective critically assesses computational and experimental approaches for quantifying, characterizing, and validating CSRO, emphasizing modeling–experiment cross‐validation pathways that enable more reliable interpretation of ...
Mohsen Asle Zaeem, Peter K. Liaw
wiley   +1 more source

Including state-of-the-art physical understanding of thermal vacancies in Calphad models

Scientific Reports, 2022
A physically sound thermochemical model accounting for explicit thermal vacancies in elements and alloys is presented. The model transfers the latest theoretical understanding of vacancy formation into the Calphad formalism where it can extend currently ...
A. Obaied, I. Roslyakova, M. To Baben
doaj   +1 more source