Alternative protein sources: growing the next generation computational modelling framework

替代蛋白质来源：发展下一代计算模型框架

• 批准号: 2886049
• 金额: --
• 依托单位: University of Warwick
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2886049
• 关键词: Alternative; protein; sources; growing; next

The alternative protein space represents one of the most dynamic scientific areas at present. Shrinking usable land mass, even accounting for agricultural advances, means a sustainable future is tightly linked with our ability to create and support clean food sources. Computational modelling has an immense (and largely untapped) potential to innovate a technological space still in its infancy. We will use a combination of state-of-the-art techniques - multi-physics fluid mechanics, high performance computing and data-driven approaches - to design a versatile open-source modelling framework supported by fantastic experimental and industrial collaborators from around the world.

另类蛋白质空间代表了目前最具活力的科学领域之一。即使考虑到农业的进步，可用土地面积的减少也意味着可持续的未来与我们创造和支持清洁食品来源的能力密切相关。计算模型在创新仍处于起步阶段的技术空间方面具有巨大的潜力(而且在很大程度上尚未开发)。我们将使用最先进的技术组合-多物理流体力学、高性能计算和数据驱动方法-设计一个多功能的开源建模框架，并得到来自世界各地的出色的实验和工业合作伙伴的支持。