A state-of-the-art review of experimental and computational studies of granular materials: properties, advances, challenges, and future directions
P Tahmasebi - Progress in Materials Science, 2023 - Elsevier
Modeling of heterogeneous materials and media is a problem of fundamental importance to
a wide class of phenomena and systems, ranging from condensed matter physics, soft …
a wide class of phenomena and systems, ranging from condensed matter physics, soft …
Material point method after 25 years: theory, implementation, and applications
It has been 25 years since Sulsky and her coworkers developed the first version of the
material point method (MPM): a quasi particle method to solve continuum mechanics …
material point method (MPM): a quasi particle method to solve continuum mechanics …
Dark, beyond deep: A paradigm shift to cognitive ai with humanlike common sense
Recent progress in deep learning is essentially based on a “big data for small tasks”
paradigm, under which massive amounts of data are used to train a classifier for a single …
paradigm, under which massive amounts of data are used to train a classifier for a single …
Disect: A differentiable simulation engine for autonomous robotic cutting
Robotic cutting of soft materials is critical for applications such as food processing,
household automation, and surgical manipulation. As in other areas of robotics, simulators …
household automation, and surgical manipulation. As in other areas of robotics, simulators …
Breaking bad: A dataset for geometric fracture and reassembly
Abstract We introduce Breaking Bad, a large-scale dataset of fractured objects. Our dataset
consists of over one million fractured objects simulated from ten thousand base models. The …
consists of over one million fractured objects simulated from ten thousand base models. The …
A massively parallel and scalable multi-GPU material point method
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 …
simulation system based on the Material Point Method (MPM) for simulating physical …
Phase-field implicit material point method with the convected particle domain interpolation for brittle–ductile failure transition in geomaterials involving finite …
A phase-field implicit material point method with the convected particle domain interpolation
(PF-ICPDI) is proposed to model the brittle–ductile failure transition in pressure-sensitive …
(PF-ICPDI) is proposed to model the brittle–ductile failure transition in pressure-sensitive …
Simplicits: Mesh-free, geometry-agnostic elastic simulation
The proliferation of 3D representations, from explicit meshes to implicit neural fields and
more, motivates the need for simulators agnostic to representation. We present a data …
more, motivates the need for simulators agnostic to representation. We present a data …
Roboninja: Learning an adaptive cutting policy for multi-material objects
We introduce RoboNinja, a learning-based cutting system for multi-material objects (ie, soft
objects with rigid cores such as avocados or mangos). In contrast to prior works using open …
objects with rigid cores such as avocados or mangos). In contrast to prior works using open …
Fantastic breaks: A dataset of paired 3d scans of real-world broken objects and their complete counterparts
Automated shape repair approaches currently lack access to datasets that describe real-
world damaged geometry. We present Fantastic Breaks (and Where to Find Them …
world damaged geometry. We present Fantastic Breaks (and Where to Find Them …