Results 201 to 210 of about 693,979 (270)

A Closed‐Loop Framework for Inverse Design: Dynamic Training and Intelligent Optimization for Heterostructured Materials

Advanced Science, Volume 13, Issue 55, 5 October 2026.
To accelerate the inverse design of heterostructured metal matrix composites, a closed‐loop scientific machine learning framework integrates continual learning prediction with NSGA‐II‐PMCP optimization. The framework maps microstructural descriptors to strength, toughness, and modulus, expands high‐quality Pareto solutions, and guides experimentally ...
Zhiyan Zhong, Xueru Zheng, Xiao Zhou, Zhengheng Tao, Wan Han, Jingyi Pan, Dian Wu, Ning Gao, Lei Liu, Zhongyang Wang, Fanchao Meng, Tongxiang Fan   +11 more
wiley   +1 more source

Preparation Optimization, Rheological Performance and Mechanism of High-Density Polyethylene and Crumb Rubber Composite-Modified Asphalt. [PDF]

Materials (Basel)
Hu B, Wang H, Tang Y, Huang Y, Tang Y, Xu B.   +5 more
europepmc   +1 more source

Optimization of Production Process Parameters and Anti‐Cracking Mechanism of Plant‐Mixed Hot Recycling Asphalt Mixture Through SCB‐DIC Testing

Applied Research, Volume 5, Issue 5, October 2026.
Mixed‐level orthogonal experiments and SCB‐DIC testing were conducted to evaluate the effects of six production parameters on the anti‐cracking performance of plant‐mixed hot recycled asphalt mixtures. Cracking evolution was characterized using FI, CIE, and ECR.
Kai Li, Yinghui Zhang, Zhenghao Liu, Zhigang Zhou   +3 more
wiley   +1 more source

From Processing to Performance: A Multi-Scale Machine Learning Framework for SBS-Modified Asphalt Gels with Multi-Target Correlation and Explainable AI. [PDF]

Gels
Wu Z, Ma X, Qiu M, Fang C, Liu W, Wang D.   +5 more
europepmc   +1 more source

Physics‐Informed Generative Machine Learning for Designing Crack‐Free γ′‐Strengthened Ni‐Based Superalloys for Laser Powder Bed Fusion

Materials Genome Engineering Advances, Volume 4, Issue 4, October 2026.
This research proposes a physics‐informed generative machine learning framework to design SHA800, a crack‐free γ′‐strengthened nickel‐based superalloy for laser powder bed fusion, achieving a 43% γ′ volume fraction and 587 HV0.2 hardness. ABSTRACT Fabricating γ′‐strengthened nickel‐based superalloys via laser powder bed fusion (LPBF) faces significant ...
Kai Guo, Dongwei Guan, Tao Hu, Yaqing Hou, Xiaoqun Li, Zhongnan Bi, Songzhe Xu, Hao Yu, Wei Xu, Weidong Xuan, Chaoyue Chen, Zhongming Ren   +11 more
wiley   +1 more source

AlloyDesignClaw: Optimizing Castability and Mechanical Properties of Nickel‐Based Superalloys

Materials Genome Engineering Advances, Volume 4, Issue 4, October 2026.
A stepwise optimization method is proposed for castability and mechanical properties of nickel‐based superalloys, enabling interpretable dimensionality reduction and efficient multi‐objective optimization of the composition space. An alloy design multi‐agent framework was further developed, integrating large language models, CALPHAD calculation ...
Jiaxuan Ma, Songyang Chen, Rui Feng, Xin Hao, Hang Zheng, Chushan Yi, Qingbiao Tan, Guoliang Zhu   +7 more
wiley   +1 more source

Tailoring a Heterogeneous Bimodal Structure for Superior Strength-Ductility Synergy in Dilute Mg-0.4Al-0.3Ca-0.2Mn-xSn Alloy: The Critical Role of Trace Sn Microalloying. [PDF]

Materials (Basel)
Li G, Zhang J, Sun L, Ge X, Li B, Wei G.
europepmc   +1 more source

Designing γ‐TiAl Alloys With Refined Twin‐Lamellar Microstructures via Machine Learning‐Driven Phase‐Field Methods

Materials Genome Engineering Advances, Volume 4, Issue 4, October 2026.
Dual‐phase γ‐TiAl alloys with refined twin‐lamellar (RTL) structures exhibit optimal strength‐ductility synergy. Here, phase‐field simulations reveal composition‐stress‐dependent refined twin‐lamellar (RTL) microstructure evolution. Machine learning (CatBoost + NSGA‐III) trained on phase‐field images predicts optimal RTL‐stress‐composition design space.
Jianwei Li, Zhenqiang Xiong, Chuanxin Liang, Tianjiao Dong, Heran Wang, Mengyuan Hao, Liqiang He, Tianlong Zhang, Dong Wang   +8 more
wiley   +1 more source

Effects of Two-Way Cold Rolling and Subsequent Annealing on the Microstructure and Tensile Properties of Low-Carbon Steel with Different Initial Microstructures. [PDF]

Materials (Basel)
Ogawa T, Hayashi H, Dannoshita H.
europepmc   +1 more source

Laser‐Generated CuPdAgPtAu High‐Entropy Alloy Nanoparticles—Thermal Segregation Threshold and Elemental Segregation

Particle &Particle Systems Characterization, Volume 43, Issue 10, October 2026.
Noble metal (CuxPdyAgzPtyAuy) high‐entropy alloy nanoparticles synthesized via laser ablation in liquid are characterized by advanced (S)TEM, XRD, and atomistic simulations. Rapid quenching during laser ablation suppresses thermodynamically driven segregation and stabilizes metastable solid solutions under kinetic control.
Felix Pohl, Robert Stuckert, Florent Calvo, Oleg Prymak, Christoph Rehbock, Ulrich Schürmann, Stephan Barcikowski, Lorenz Kienle   +7 more
wiley   +1 more source