数字化推动安全和可持续的材料创新市场。PINK项目的数字化安全和可持续性设计创新方法

IF 4.4 2区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Thomas E. Exner , Joh Dokler , Steffi Friedrichs , Christian Seitz , Francesca L. Bleken , Jesper Friis , Thomas F. Hagelien , Francesco Mercuri , Anna L. Costa , Irini Furxhi , Haralambos Sarimveis , Antreas Afantitis , Antonino Marvuglia , Gustavo M. Larrea-Gallegos , Tommaso Serchi , Angela Serra , Dario Greco , Penny Nymark , Martin Himly , Karin Wiench , Roland Hischier
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引用次数: 0

摘要

在这份创新报告中,我们提出了PINK项目的愿景,通过整合最先进的计算建模、仿真工具和数据资源,促进先进材料和化学品(admas&&chem)的安全与可持续设计(SSbD)发展。PINK提出了一种使用SSbD框架的新方法,其创新方法基于对功能,安全性,可持续性和成本效率标准的多目标优化程序的应用。其核心是PINK开放式创新平台,这是一个分布式系统,集成了所有相关的建模资源,丰富了先进的数据可视化和人工智能驱动的决策支持系统。在很大程度上,独立开发的功能设计、安全评估、生命周期评估等领域的数据和建模工具;成本是基于一个新创建的互操作性框架。PINK In silicon Hub作为平台的用户界面,最终引导用户完成AdMas&;Chems从创意到市场引入的完整开发过程。在两个发展案例研究的指导下,PINK平台的构建过程是迭代的,确保行业准备好实施和应用它。此外,工业示范项目将作为项目最后阶段的一部分引入,它允许行业合作伙伴,特别是中小型企业(sme)成为PINK联盟的一部分。来自演示者以及其他利益相关者参与活动和合作的反馈将塑造平台的最终外观和感觉,更重要的是,确保长期技术可持续性的活动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Going Digital to Boost Safe and Sustainable Materials Innovation Markets. The Digital Safe-and-Sustainability-by-Design Innovation Approach of the PINK Project

Going Digital to Boost Safe and Sustainable Materials Innovation Markets. The Digital Safe-and-Sustainability-by-Design Innovation Approach of the PINK Project
In this innovation report, we present the vision of the PINK project to foster Safe-and-Sustainable-by-Design (SSbD) advanced materials and chemicals (AdMas&Chems) development by integrating state-of-the-art computational modelling, simulation tools and data resources. PINK proposes a novel approach for the use of the SSbD framework, whose innovative approach is based on the application of a multi-objective optimisation procedure for the criteria of functionality, safety, sustainability and cost efficiency.
At the core is the PINK open innovation platform, a distributed system that integrates all relevant modelling resources enriched with advanced data visualisation and an AI-driven decision support system. Data and modelling tools from the, in large parts, independently developed areas of functional design, safety assessment, life cycle assessment & costing are brought together based on a newly created Interoperability Framework. The PINK In Silico Hub, as the user Interface to the platform, finally guides the user through the complete AdMas&Chems development process from idea creation to market introduction.
Guided by two Developmental Case Studies, the process of building of the PINK Platform is iterative, ensuring industry readiness to implement and apply it. Additionally, the Industrial Demonstrator programme will be introduced as part of the final project phase, which allows industry partners and especially small and medium enterprises (SMEs) to become part of the PINK consortium. Feedback from the Demonstrators as well as other stakeholder-engagement activities and collaborations will shape the platform’s final look and feel and, even more important, activities to assure long-term technical sustainability.
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来源期刊
Computational and structural biotechnology journal
Computational and structural biotechnology journal Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
9.30
自引率
3.30%
发文量
540
审稿时长
6 weeks
期刊介绍: Computational and Structural Biotechnology Journal (CSBJ) is an online gold open access journal publishing research articles and reviews after full peer review. All articles are published, without barriers to access, immediately upon acceptance. The journal places a strong emphasis on functional and mechanistic understanding of how molecular components in a biological process work together through the application of computational methods. Structural data may provide such insights, but they are not a pre-requisite for publication in the journal. Specific areas of interest include, but are not limited to: Structure and function of proteins, nucleic acids and other macromolecules Structure and function of multi-component complexes Protein folding, processing and degradation Enzymology Computational and structural studies of plant systems Microbial Informatics Genomics Proteomics Metabolomics Algorithms and Hypothesis in Bioinformatics Mathematical and Theoretical Biology Computational Chemistry and Drug Discovery Microscopy and Molecular Imaging Nanotechnology Systems and Synthetic Biology
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