The revolution of additive manufacturing (AM) has led to many opportunities in fabricating
complex and novel products. The increase of printable materials and the emergence of …

We present a new method for real-time physics-based simulation supporting many different
types of hyperelastic materials. Previous methods such as Position-Based or Projective …

In this paper, we propose a method that employs deep learning, an artificial intelligence
technique, to generate stiffness matrices of finite elements. The proposed method is used to …

We propose the first reduced model simulation framework for deformable solid dynamics
using autoencoder neural networks. We provide a data‐driven approach to generating …

We propose a comprehensive approach to characterizing the mechanical properties of
structured sheet materials, ie, planar rod networks whose mechanics and aesthetics are …

In the era of Industry 4.0 and smart manufacturing, Wire Arc Additive Manufacturing (WAAM)
stands at the forefront, driving a paradigm shift towards automated, digitalized production …

This paper presents a method for optimizing visco-elastic material parameters of a finite
element simulation to best approximate the dynamic motion of real-world soft objects. We …

In this section, we derive the analytic expression for the computation of the rotation matrix R
from Section 4.2 of our main paper, and we summarize how to compute the micro …

We propose FlexMaps, a novel framework for fabricating smooth shapes out of flat, flexible
panels with tailored mechanical properties. We start by mapping the 3D surface onto a 2D …

Data-driven design of mechanical metamaterials is an increasingly popular method to
combat costly physical simulations and immense, often intractable, geometrical design …