Computer-aided food engineering

A Datta, B Nicolaï, O Vitrac, P Verboven, F Erdogdu… - Nature Food, 2022 - nature.com
Computer-aided food engineering (CAFE) can reduce resource use in product, process and
equipment development, improve time-to-market performance, and drive high-level …

Material point method: Overview and challenges ahead

WT Sołowski, M Berzins, WM Coombs… - Advances in Applied …, 2021 - Elsevier
The paper gives an overview of Material Point Method and shows its evolution over the last
25 years. The Material Point Method developments followed a logical order. The article aims …

A massively parallel and scalable multi-GPU material point method

X Wang, Y Qiu, SR Slattery, Y Fang, M Li… - ACM Transactions on …, 2020 - dl.acm.org
Harnessing the power of modern multi-GPU architectures, we present a massively parallel
simulation system based on the Material Point Method (MPM) for simulating physical …

Neural stress fields for reduced-order elastoplasticity and fracture

Z Zong, X Li, M Li, MM Chiaramonte… - SIGGRAPH Asia 2023 …, 2023 - dl.acm.org
We propose a hybrid neural network and physics framework for reduced-order modeling of
elastoplasticity and fracture. State-of-the-art scientific computing models like the Material …

Precision cooking for printed foods via multiwavelength lasers

JD Blutinger, A Tsai, E Storvick, G Seymour, E Liu… - npj Science of …, 2021 - nature.com
Additive manufacturing of food is a method of creating three-dimensional edible products
layer-by-layer. While food printers have been in use since 2007, commercial cooking …

A unified second-order accurate in time MPM formulation for simulating viscoelastic liquids with phase change

H Su, T Xue, C Han, C Jiang, M Aanjaneya - ACM Transactions on …, 2021 - dl.acm.org
We assume that the viscous forces in any liquid are simultaneously local and non-local, and
introduce the extended POM-POM model [McLeish and Larson 1998; Oishi et al. 2012; …

Hierarchical optimization time integration for cfl-rate mpm stepping

X Wang, M Li, Y Fang, X Zhang, M Gao… - ACM Transactions on …, 2020 - dl.acm.org
We propose Hierarchical Optimization Time Integration (HOT) for efficient implicit
timestepping of the material point method (MPM) irrespective of simulated materials and …

A Unified MPM Framework Supporting Phase-field Models and Elastic-viscoplastic Phase Transition

Z Tu, C Li, Z Zhao, L Liu, C Wang, C Wang… - ACM Transactions on …, 2024 - dl.acm.org
Recent years have witnessed the rapid deployment of numerous physics-based modeling
and simulation algorithms and techniques for fluids, solids, and their delicate coupling in …

A generalized constitutive model for versatile mpm simulation and inverse learning with differentiable physics

H Su, X Li, T Xue, C Jiang, M Aanjaneya - Proceedings of the ACM on …, 2023 - dl.acm.org
We present a generalized constitutive model for versatile physics simulation of inviscid
fluids, Newtonian viscosity, hyperelasticity, viscoplasticity, elastoplasticity, and other physical …

HLFEMP: A coupled MPM-FEM method under a hybrid updated and total Lagrangian framework

S Zhou, G Chen, L Qian, J Ma - Applied Mathematical Modelling, 2024 - Elsevier
Abstract Coupling the Material Point Method (MPM) with the Finite Element Method (FEM)
provides a powerful approach for addressing problems characterized by the coexistence of …