Data-Efficient Discovery of Hyperelastic TPMS Metamaterials with Extreme Energy Dissipation

v1v2 (latest)

Data-Efficient Discovery of Hyperelastic TPMS Metamaterials with Extreme Energy Dissipation

29 May 2024

Maxine Perroni-Scharf

Zachary Ferguson

Thomas Butrille

Mina Konaković Luković

ArXiv (abs)PDF HTML

Papers citing "Data-Efficient Discovery of Hyperelastic TPMS Metamaterials with Extreme Energy Dissipation"

9 / 9 papers shown

Title
Differentiable Rendering as a Way to Program Cable-Driven Soft Robots K. Arnavaz Kenny Erleben 47 1 0 11 Apr 2024
Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints Yunsheng Tian Ane Zuniga Xinwei Zhang Johannes P. Dürholt Payel Das Jie Chen Wojciech Matusik Mina Konakovic-Lukovic 86 2 0 12 Feb 2024
Neural Metamaterial Networks for Nonlinear Material Design Yue Li Stelian Coros B. Thomaszewski 56 17 0 15 Sep 2023
Uncertainty-Aware Mixed-Variable Machine Learning for Materials Design Hengrui Zhang WeiWayneChen Akshay Iyer D. Apley Wei Chen AI4CE 73 12 0 11 Jul 2022
Differentiable solver for time-dependent deformation problems with contact Zizhou Huang Davi C. Tozoni Arvi Gjoka Z. Ferguson T. Schneider Daniele Panozzo Denis Zorin AI4CE 66 20 0 26 May 2022
Deep Generative Modeling for Mechanistic-based Learning and Design of Metamaterial Systems Liwei Wang Yu-Chin Chan Faez Ahmed Zhao Liu Ping Zhu Wei Chen AI4CE 55 219 0 27 Jun 2020
How Does Batch Normalization Help Optimization? Shibani Santurkar Dimitris Tsipras Andrew Ilyas Aleksander Madry ODL 128 1,546 0 29 May 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 850 5,849 0 05 Dec 2016
Batch Bayesian Optimization via Local Penalization Javier I. González Zhenwen Dai Philipp Hennig Neil D. Lawrence 141 357 0 29 May 2015

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.