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Material Science and Engineering Department
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Tomographic volumetric additive manufacturing: some opportunities for development in printable materials and optical design

Hayden Taylor
Professor in the Department of Mechanical Engineering at the University of California, Berkeley

Event Details:

Wednesday, March 4, 2026
11:30am - 12:30pm PST

Location

Stanford University
Geology Corner, Room 320-105
450 Jane Stanford Way, Bldg. 320
Stanford, CA 94305
United States

This event is open to:

Alumni/Friends
Faculty/Staff
General Public
Students

Abstract: In this talk I'll first review the current capabilities of tomographic volumetric additive manufacturing, also known as computed axial lithography. In this process, a photopolymer geometry is defined via tomographic reconstruction of a light dose that is synthesized from video patterns projected into a rotating vat. I'll describe some challenges that the process faces in the areas of computational optics, photopolymer materials development, and optomechanical design. I'll highlight developments that could be made to enable the process to realize potential applications in bioprinting, optics, microsystems, and microelectronic packaging. On the materials front, I will touch on recent developments towards recyclability, via resins that exploit ring-opening metathesis polymerization (ROMP) and depolymerization, and I will discuss mitigation of thermal effects in the printed material through the use of reversible addition-fragmentation chain transfer (RAFT) polymerization.

Bio: Hayden Taylor is a Professor in the Department of Mechanical Engineering at the University of California, Berkeley. His research seeks to invent, model, and simulate a new generation of manufacturing processes to make more efficient use of materials and energy and enable industrial decarbonization. The themes of his research are: (A) multiscale additive manufacturing, (B) contact mechanics in semiconductor manufacturing, and (C) materials and processes for sustainable construction. Hayden received a Ph.D. in EECS from MIT, and the B.A. and M.Eng. from Cambridge.

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