There are progressive architects, engineers, contractors and owners that adopt some of the newest technologies for financial benefits. The moving force to integrate BIM （building information modeling） tools may come...There are progressive architects, engineers, contractors and owners that adopt some of the newest technologies for financial benefits. The moving force to integrate BIM （building information modeling） tools may come from owners demanding a BIM deliverable to approve the work on these projects. Ifa contractor can produce this deliverable, then obtaining the project could be done in a more convincing way. Contractors are confronted with problems in selecting proper construction methods and applying their knowledge about specific and well-defined technologies to a project. Their decision-making process and better project outcomes can be improved through a database-oriented library of construction methods and therefore, a consistent methodology to classify construction methods is needed. This goal can be achieved by introducing rigorous construction method descriptors. The technology solution and the trending need of owners to pay software companies to develop software that really works for them and contractors are empirically proved in this paper through a technology ontology and BIM-enabled estimating procedure. An exploratory case study is presented. This way, owners can efficiently demand deliverables that can be utilized by them downstream, allowing contractors and subcontracting trades to work efficiently and to assure the daily flow of operations.展开更多
Materials informatics has emerged as a promisingly new paradigm for accelerating materials discovery and design.It exploits the intelligent power of machine learning methods in massive materials data from experiments ...Materials informatics has emerged as a promisingly new paradigm for accelerating materials discovery and design.It exploits the intelligent power of machine learning methods in massive materials data from experiments or simulations to seek new materials,functionality,and principles,etc.Developing specialized facilities to generate,collect,manage,learn,and mine large-scale materials data is crucial to materials informatics.We herein developed an artificial-intelligence-aided data-driven infrastructure named Jilin Artificial-intelligence aided Materials-design Integrated Package(JAMIP),which is an open-source Python framework to meet the research requirements of computational materials informatics.It is integrated by materials production factory,high-throughput first-principles calculations engine,automatic tasks submission and monitoring progress,data extraction,management and storage system,and artificial intelligence machine learning based data mining functions.We have integrated specific features such as an inorganic crystal structure prototype database to facilitate high-throughput calculations and essential modules associated with machine learning studies of functional materials.We demonstrated how our developed code is useful in exploring materials informatics of optoelectronic semiconductors by taking halide perovskites as typical case.By obeying the principles of automation,extensibility,reliability,and intelligence,the JAMIP code is a promisingly powerful tool contributing to the fast-growing field of computational materials informatics.展开更多
文摘There are progressive architects, engineers, contractors and owners that adopt some of the newest technologies for financial benefits. The moving force to integrate BIM （building information modeling） tools may come from owners demanding a BIM deliverable to approve the work on these projects. Ifa contractor can produce this deliverable, then obtaining the project could be done in a more convincing way. Contractors are confronted with problems in selecting proper construction methods and applying their knowledge about specific and well-defined technologies to a project. Their decision-making process and better project outcomes can be improved through a database-oriented library of construction methods and therefore, a consistent methodology to classify construction methods is needed. This goal can be achieved by introducing rigorous construction method descriptors. The technology solution and the trending need of owners to pay software companies to develop software that really works for them and contractors are empirically proved in this paper through a technology ontology and BIM-enabled estimating procedure. An exploratory case study is presented. This way, owners can efficiently demand deliverables that can be utilized by them downstream, allowing contractors and subcontracting trades to work efficiently and to assure the daily flow of operations.
基金supported by the National Natural Science Foundation of China(61722403,92061113,and 12004131)the Interdisciplinary Research Grant for Ph Ds of Jilin University(101832020DJX043)。
文摘Materials informatics has emerged as a promisingly new paradigm for accelerating materials discovery and design.It exploits the intelligent power of machine learning methods in massive materials data from experiments or simulations to seek new materials,functionality,and principles,etc.Developing specialized facilities to generate,collect,manage,learn,and mine large-scale materials data is crucial to materials informatics.We herein developed an artificial-intelligence-aided data-driven infrastructure named Jilin Artificial-intelligence aided Materials-design Integrated Package(JAMIP),which is an open-source Python framework to meet the research requirements of computational materials informatics.It is integrated by materials production factory,high-throughput first-principles calculations engine,automatic tasks submission and monitoring progress,data extraction,management and storage system,and artificial intelligence machine learning based data mining functions.We have integrated specific features such as an inorganic crystal structure prototype database to facilitate high-throughput calculations and essential modules associated with machine learning studies of functional materials.We demonstrated how our developed code is useful in exploring materials informatics of optoelectronic semiconductors by taking halide perovskites as typical case.By obeying the principles of automation,extensibility,reliability,and intelligence,the JAMIP code is a promisingly powerful tool contributing to the fast-growing field of computational materials informatics.
