Please contact the symposium organizers with questions.

Additive manufacturing (AM), or 3D printing, has the potential to revolutionize manufacturing by enabling low-cost rapid prototyping, facile customizability, design flexibility, and multimaterial complexity that are not possible with conventional manufacturing technologies. The combination of novel additive manufacturing technologies with advances in materials and processing have enabled fabrication of materials and devices for structural and functional applications that outperform traditional material process-structure-property relations, opening new frontiers in materials design, development, and applications.

This symposium will broadly cover recent advances and developments in additive manufacturing (AM), including material design, processing, characterization, process modeling, and applications. The aim of this symposium is to highlight the unique areas of materials research that are enabled by the emerging approaches of additive manufacturing, and the potential opportunities for future structural and functional materials development. The first part of the symposium will focus on advances of materials, structures, and techniques of AM. The second part of the symposium will focus on the advances of characterization, data science and machine learning, and computational design and modeling for AM.

Topics will include:

• Advances in additive manufacturing of polymers, metals, ceramics, biomaterials and composites
• Advances in additive manufacturing of multi-scale and multi-material components and structures (e.g., multi-scale 3D printing, multi-material 3D printing, hierarchical structures, and architected materials)
• Advances in additive manufacturing techniques (e.g., FFF, SLA, SLS, DIW, and Hybrid AM)
• Advances in characterization and analysis of parts fabricated by additive manufacturing
• Computational design in additive manufacturing
• Additive manufacturing in structural applications (e.g., light-weight, energy-absorbing)
• Additive manufacturing in functional applications (e.g., bio-applications, energy, environment, electronics, robotics)
• New materials, new techniques, and emerging applications in additive manufacturing
• Data science and machine learning in additive manufacturing

Invited Speakers:

• Jian Cao (Northwestern University, USA)
• Yong Chen (University of Southern California, USA)
• Micheal Dickey (North Carolina State University, USA)
• Julia R. Greer (California Institute of Technology, USA)
• Timothy Long (Arizona State University, USA)
• Wojciech Matusik (Massachusetts Institute of Technology, USA)
• Michael McAlpine (University of Minnesota, USA)
• Chad Mirkin (Northwestern University, USA)
• Hang (Jerry) Qi (Georgia Institute of Technology, USA)
• Christopher Spaddaccini (Lawrence Livermore National Laboratory, USA)
• Hayden Taylor (University of California, Berkeley, USA)
• Christopher Williams (Virginia Tech, USA)
• Xuanhe Zhao (Massachusetts Institute of Technology, USA)
• Xiaoyu Zheng (University of California, Los Angeles, USA)

Symposium Organizers