3D-printed multifunctional materials enabled by artificial-intelligence-assisted fabrication technologies

3D打印 3d打印 软机器人 生物加工 生物制造 材料科学 可穿戴计算机 纳米技术 计算机科学 人工智能 工程类 机器人 机械工程 制造工程 生物医学工程 嵌入式系统 组织工程 生物 遗传学
作者
Zhijie Zhu,Daniel Wai Hou Ng,Hyun Soo Park,Michael C. McAlpine
出处
期刊:Nature Reviews Materials [Nature Portfolio]
卷期号:6 (1): 27-47 被引量:331
标识
DOI:10.1038/s41578-020-00235-2
摘要

The emerging capability to 3D print a diverse palette of functional inks will enable the mass democratization of patient-specific wearable devices and smart biomedical implants for applications such as health monitoring and regenerative biomedicines. These personalized wearables could be fabricated via ex situ printing, which involves first printing a design on a planar substrate and then deploying it to the target surface. However, this can result in a geometrically and dynamically mismatched interface between printed materials and target surfaces. In situ printing provides a potential remedy by directly printing 3D constructs on the target surfaces. This new manufacturing procedure requires the assistance of artificial intelligence (AI) to sense, adapt and predict the state of the printing environment, such as a dynamically morphing organ. In this Review, we discuss electronic and biological inks for in situ 3D printing, AI-empowered 3D-printing approaches with open-loop, closed-loop and predictive control, and recent developments in surgical robotics and AI that could be integrated in future 3D-printing approaches. We anticipate that this convergence of AI, 3D printing, functional materials and personalized biomedical devices will lead to a compelling future for smart manufacturing. Artificial intelligence can be used to facilitate the 3D printing of functional materials and devices directly on target surfaces, such as human bodies. This Review surveys ex situ and in situ artificial-intelligence-assisted 3D printing of multifunctional materials and its combination with surgical robots to enable autonomous medical care and smart biomanufacturing.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
英俊的铭应助科研通管家采纳,获得10
刚刚
刚刚
ding应助科研通管家采纳,获得10
刚刚
刚刚
orixero应助科研通管家采纳,获得10
刚刚
刚刚
三四郎应助科研通管家采纳,获得10
刚刚
共享精神应助科研通管家采纳,获得10
刚刚
1秒前
852应助科研通管家采纳,获得10
1秒前
1秒前
1秒前
思源应助科研通管家采纳,获得10
1秒前
1秒前
1秒前
1秒前
三四郎应助科研通管家采纳,获得20
1秒前
2秒前
2秒前
无限的迎松完成签到 ,获得积分10
2秒前
xian完成签到,获得积分10
2秒前
3秒前
眼睛大的傲菡完成签到,获得积分10
3秒前
Liu完成签到,获得积分10
4秒前
4秒前
科研通AI6.2应助腻腻采纳,获得10
4秒前
李健应助ddbyb采纳,获得10
4秒前
4秒前
4秒前
123发布了新的文献求助10
4秒前
简单松鼠完成签到,获得积分10
4秒前
5秒前
5秒前
6秒前
踏实志泽发布了新的文献求助10
6秒前
无书寄贵人完成签到,获得积分10
7秒前
小伙子发布了新的文献求助10
7秒前
科研通AI6.3应助mimina采纳,获得10
7秒前
8秒前
今后应助123采纳,获得10
8秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The Organometallic Chemistry of the Transition Metals 800
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
Leading Academic-Practice Partnerships in Nursing and Healthcare: A Paradigm for Change 800
The formation of Australian attitudes towards China, 1918-1941 640
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6435664
求助须知:如何正确求助?哪些是违规求助? 8250401
关于积分的说明 17548643
捐赠科研通 5493932
什么是DOI,文献DOI怎么找? 2897771
邀请新用户注册赠送积分活动 1874383
关于科研通互助平台的介绍 1715589