ST3: Research Collaborative Network on Information-driven Biomaterials

生物材料设计中的新概念已经导致生物材料可能被设计为决策的时刻。这些决定——包括运动、复制、集体行为、愈合和分泌——可以由嵌入在材料中的分子计算和决策网络驱动。软物质设计和合成网络的日益复杂，使得在人工细胞和组织中嵌入合成网络成为可能，从而实现智能信息处理或材料的自我复制。该奖项提出了一个研讨会，以发展国际研究合作网络（RCN）的联系和想法，以支持美国和欧洲科学家在信息驱动材料领域的合作工作。本次会议的目标将是确定生物材料合成与响应和信息编码之间交叉的关键领域。此次会议是继2018年秋季在美国国家科学基金会举行的一次非常成功的方桌会议之后举行的，该会议确定了该领域的许多关键科学问题。会议的重点将放在材料和网络设计的基本问题上，通过定量方法和计算来了解，并评估通过最先进的材料设计可以实现什么。由于该学科是高度跨学科的，会议将汇集来自化学、物理、生物、工程和生物材料科学的基础科学家。此外，本次会议将重点讨论如何激活一个有效的合作网络，并确定NSF未来信息驱动生物材料项目的潜在支持领域。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

New concepts in the design of biomaterials have led to the moment in which biomaterials may be designed to make decisions. These decisions - including motility, replication, collective behavior, healing, and secretion - can be driven by molecular computational and decision-making networks embedded in materials. Increasing sophistication of both soft matter design and synthetic networks allow for the possibility of embedded synthetic networks in artificial cells and tissues that allow for intelligent information processing or self replication of materials. This award proposes a workshop to develop connections and ideas an international Research Collaborative Network (RCN) for the purposes of supporting collaborative work between U.S. and European scientists in the area of information-driven materials. The goal of this meeting will be to identify key areas of intersection between biomaterials synthesis and response and information encoding. The meeting follows upon a very successful Square Table that was held at NSF in the Fall of 2018 that identified many of the key scientific issues in this area. The focus of the meeting will be on fundamental issues in the design of materials and networks, informed by quantitative methods and computing, and to assess what can be achieved through state of the art materials design. Because the discipline is highly interdisciplinary, the meeting will bring together basic scientists from chemistry, physics, biology, engineering, and biomaterials science. Furthermore, this meeting will focus on how to activate an effective network of collaboration and identify areas of potential support at NSF for future programs on information-driven biomaterials.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.