William Solórzano Requejo, Francisco Franco Martínez, Carlos Aguilar Vega, Rodrigo Zapata Martínez, Adrián Martínez Cendrero, Andrés Díaz Lantada
{"title":"Fostering creativity in engineering design through constructive dialogues with generative artificial intelligence","authors":"William Solórzano Requejo, Francisco Franco Martínez, Carlos Aguilar Vega, Rodrigo Zapata Martínez, Adrián Martínez Cendrero, Andrés Díaz Lantada","doi":"10.1016/j.xcrp.2024.102157","DOIUrl":null,"url":null,"abstract":"<p>Artificial intelligence (AI) is progressively reshaping the way that researchers design and study highly complex systems. In this perspective, we introduce an engineering design methodology aimed at fostering creativity through “constructive dialogues with a generative AI” and exemplify its potential through a set of methodically developed case studies. This creativity promotion approach starts with computer-aided design (CAD) models of lattices, metamaterials, and architected materials, which are provided as initial inputs to a generative AI through a chat. Then, the conversation starts with researchers asking the generative AI to modify the provided CAD model images by incorporating new elements, placing them in quasi-real-life environments, or adapting the provided designs to the structures of new products. To illustrate the methodology, a varied set of selected case studies of constructive dialogues leading to highly innovative designs are provided, bridging the gap between tissue engineering scaffolds and building architectures, biohybrid materials and product design, and innovative structures and medical devices, to cite a few.</p>","PeriodicalId":9703,"journal":{"name":"Cell Reports Physical Science","volume":null,"pages":null},"PeriodicalIF":7.9000,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cell Reports Physical Science","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1016/j.xcrp.2024.102157","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Artificial intelligence (AI) is progressively reshaping the way that researchers design and study highly complex systems. In this perspective, we introduce an engineering design methodology aimed at fostering creativity through “constructive dialogues with a generative AI” and exemplify its potential through a set of methodically developed case studies. This creativity promotion approach starts with computer-aided design (CAD) models of lattices, metamaterials, and architected materials, which are provided as initial inputs to a generative AI through a chat. Then, the conversation starts with researchers asking the generative AI to modify the provided CAD model images by incorporating new elements, placing them in quasi-real-life environments, or adapting the provided designs to the structures of new products. To illustrate the methodology, a varied set of selected case studies of constructive dialogues leading to highly innovative designs are provided, bridging the gap between tissue engineering scaffolds and building architectures, biohybrid materials and product design, and innovative structures and medical devices, to cite a few.
期刊介绍:
Cell Reports Physical Science, a premium open-access journal from Cell Press, features high-quality, cutting-edge research spanning the physical sciences. It serves as an open forum fostering collaboration among physical scientists while championing open science principles. Published works must signify significant advancements in fundamental insight or technological applications within fields such as chemistry, physics, materials science, energy science, engineering, and related interdisciplinary studies. In addition to longer articles, the journal considers impactful short-form reports and short reviews covering recent literature in emerging fields. Continually adapting to the evolving open science landscape, the journal reviews its policies to align with community consensus and best practices.