Results 211 to 220 of about 1,901,812 (345)
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani+4 more
wiley +1 more source
Dynamic scheduling for flexible job shop based on MachineRank algorithm and reinforcement learning. [PDF]
Ren F, Liu H.
europepmc +1 more source
A COMBINED ALGORITHM FOR SOLVING JOB SHOP SCHEDULING PROBLEMS
Yajie Tian+3 more
openalex +1 more source
3D‐Printed Architected Material for the Generation of Foam‐Based Protective Equipment
This study investigates 3D‐printed architected structures as alternatives to traditional foams in protective gear. It focuses on customizing impact strength and damping through design and manufacturing integration. Testing shows these structures outperform conventional foams, offering enhanced customizability, lower weight, and tunable performance ...
Ali Zolfagharian+5 more
wiley +1 more source
An enhanced walrus optimization algorithm for flexible job shop scheduling with parallel batch processing operation. [PDF]
Lv S+5 more
europepmc +1 more source
A Comparative Study of Precedence-Preserving Genetic Operators in Sequential Ordering Problems and Job Shop Scheduling Problems [PDF]
Hye-Ree Lee, Keon Myung Lee
openalex +1 more source
Primary phases and a fatigue crack are studied in a forged blank of an aluminum alloy using synchrotron and laboratory X‐ray computed tomography. To image the crack, the fatigue test is interrupted, and a static tensile load is applied to open the crack.
Jakob Schröder+6 more
wiley +1 more source
A reinforcement learning based memetic algorithm for energy-efficient distributed two-stage flexible job shop scheduling problem. [PDF]
Geng K, Liu L, Wu S.
europepmc +1 more source
In this research, ZrC coatings are evaluated against various counterprobes at the microscale using novel super‐stiff atomic force microscopy cantilevers. The chemical composition of the coating is shown to be an important factor influencing coating hardness and Young's modulus, while surface roughness, counterprobe hardness, and surface energy are the ...
Piotr Jenczyk+4 more
wiley +1 more source