Submission Deadline: 30 November 2024 (closed) View: 284 Submit to Special Issue
For decades, new materials Discovery, Development, and Deployment (3D) heavily depend on Experiences, Experiments, and Expenses (3E), which are not environmentally sustainable and socially desirable in nature. Recently, Integrated Computational Materials Engineering (ICME) has been pushing our knowledge boundary into the virtual design philosophy prior to actual manufacturing. However, the tedious process for establishing new physically based mathematical models at every manufacturing step and laborious work for verifying every model has prohibited many newcomers from entering this prospect field. As a result, this special issue is focusing on lifting the burden for developing a perfect ICME model for every material and instead welcome any new machining learning algorithms to solve the new materials Discovery, Development, and Deployment (3D) problems together with Integrated Computational Materials Engineering (ICME) Principles.
All articles concerning high strength aluminum alloys, magnesium alloys, titanium alloys, nickel-based superalloys, and their predictive models are welcome. This is an excellent opportunity for materials and computer scientists to present latest work on all aspects of materials Discovery, Development, and Deployment,including any non-destructive testing such as x-ray computed tomography and process optimization such as multiscale modeling for evaluating the properties for end applications.