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DTSTAMP:20260417T190059Z
LOCATION:West Building\, Rooms 211-214
DTSTART;TZID=America/Los_Angeles:20250813T154500
DTEND;TZID=America/Los_Angeles:20250813T173500
UID:siggraph_SIGGRAPH 2025_sess124@linklings.com
SUMMARY:Microstructures & Materials
DESCRIPTION:MIND: Microstructure INverse Design with Generative Hybrid Neu
 ral Representation\n\nWe introduce MIND, a novel generative framework for 
 inverse-designing diverse, tileable 3D microstructures. Leveraging latent 
 diffusion and our hybrid neural representation, MIND precisely achieves ta
 rgeted physical properties, ensures geometric validity, and enables seamle
 ss boundary compatibility&...\n\n\nTianyang Xue, Longdu Liu, and Lin Lu (S
 handong University); Paul Henderson (University of Glasgow); Pengbin Tang 
 (ETH Zürich); Haochen Li, Jikai Liu, and Haisen Zhao (Shandong University)
 ; Hao Peng (CrownCAD); and Bernd Bickel (ETH Zürich)\n--------------------
 -\nColor Matching and Biomimicry for Multi-material Dental 3D Printing\n\n
 We propose a practical method for dental layer biomimicry and multi-spot s
 hade matching using multi-material 3D printing. It integrates seamlessly i
 nto workflows combining dental CAD tools and industrial multi-material sli
 cers. \nWe validated it by printing multiple dentures and teeth with varyi
 ng in...\n\n\nAndrás Simon (Fraunhofer IGD, Technical University of Darmst
 adt); Danwu Chen (Fraunhofer IGD); Philipp Urban (Fraunhofer IGD, Norwegia
 n University of Science and Technology NTNU); and Vincent Duveiller and He
 nning Lübbe (VITA Zahnfabrik H. Rauter GmbH & Co. KG)\n-------------------
 --\nNeural Co-Optimization of Structural Topology, Manufacturable Layers, 
 and Path Orientations for Fiber-Reinforced Composites\n\nWe present a comp
 utational framework that co-optimizes structural topology, curved layers, 
 and fiber orientations for manufacturable, high-strength composites. Using
  implicit neural fields, our method integrates design and fabrication obje
 ctives into a unified optimization process, achieving up to 3...\n\n\nTao 
 Liu, Tianyu Zhang, Yongxue Chen, Weiming Wang, Yu Jiang, Yuming Huang, and
  Charlie C.L. Wang (University of Manchester)\n---------------------\nAsym
 ptotic analysis and design of linear elastic shell lattice metamaterials\n
 \nThis paper introduces a novel asymptotic directional stiffness (ADS) met
 ric to analyze the contribution of middle surface geometry on the stiffnes
 s of shell lattice metamaterials, focusing on Triply Periodic Minimal Surf
 aces (TPMS). It provides a theoretical framework and optimization techniqu
 es, ad...\n\n\nDi Zhang and Ligang Liu (University of Science and Technolo
 gy of China)\n---------------------\nComputational Modeling of Gothic Micr
 oarchitecture\n\nGothic microarchitecture—a prevalent feature of late medi
 eval art—comprises sculptural works that replicate monumental Gothic forms
 , though its original construction techniques remain historically undocume
 nted. Leveraging insights from 15th-century Basel goldsmith drawings, we p
 resent an...\n\n\nAviv Segall and Jing Ren (ETH Zurich), Martin Schwarz (U
 niversity of Basel), and Olga Sorkine-Hornung (ETH Zurich)\n--------------
 -------\nInverse Design of Discrete Interlocking Materials with Desired Me
 chanical Behavior\n\nIn this paper, we present a computational approach fo
 r designing Discrete Interlocking Materials (DIM) with desired mechanical 
 properties. We demonstrate the effectiveness of our method by designing di
 screte interlocking materials with diverse limit profiles for in- and out-
 of-plane deformation and ...\n\n\nPengbin Tang, Bernhard Thomaszewski, Ste
 lian Coros, and Bernd Bickel (ETH Zürich)\n---------------------\nData-Eff
 icient Discovery of Hyperelastic TPMS Metamaterials with Extreme Energy Di
 ssipation\n\nWe introduce a method for discovering novel microscale TPMS s
 tructures with high-energy dissipation. By combining a parametric design s
 pace, empirical testing, and uncertainty-aware deep ensembles with Bayesia
 n optimization, we efficiently explore and discover structures with extrem
 e energy dissipat...\n\n\nMaxine Perroni-Scharf (Massachusetts Institute o
 f Technology (MIT)); Zachary Ferguson (Massachusetts Institute of Technolo
 gy (MIT), CLO Virtual Fashion); and Thomas Butruille, Carlos Portela, and 
 Mina Konaković Luković (Massachusetts Institute of Technology (MIT))\n----
 -----------------\nMicrostructures & Materials - Interactive Discussion\n\
 nAfter the summary presentations, attendees will participate in an interac
 tive discussion. Outside the room will be a series of poster boards for au
 thors to gather around with the audience. Authors are invited to bring any
  material related to their paper that could instigate further conversation
  such...\n\n\nInterest Area: Research & Education\n\nRecording: Livestream
 ed, Not Livestreamed, Recorded, Not Recorded\n\nRegistration Category: Ful
 l Conference, Virtual Access, Wednesday\n\nSession Chair: Steve Marschner 
 (Cornell University, NVIDIA)
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