Deep learning can help solve problems in areas such as materials design that face the curse of dimensionality.
Ongoing shifts will make the supply of electricity less centralized, less predictable, and more difficult to control.
Sven Leyffer reflects on recent happenings in the SIAM community, including CSE23 and trends in student involvement.
The interface UM-Bridge provides a universal link between any uncertainty quantification code and any model software.
CSE23 will facilitate discussions about a variety of large-scale problems in computational science and engineering.
In the first-ever SIAM Hackathon, 150 participants tackled a wide variety of industry-based challenges from six...
Panelists shared their personal early-career experiences and offered advice to the forthcoming generation at CSE23.
The scheduling process for a SIAM conference was automated for the first time with a set of C++ and Python codes.
Panelists gave insights into managing the responsibilities and opportunities of the mid-career stage at CSE23.
View a selection of photos from the recent 2023 SIAM Conference on Computational Science and Engineering.
A CSE23 panel discussed observations and experiences with mentoring and retention in the context of diversity.
Powerful new machine learning algorithms can predict spatial patterns that are influenced by wind-driven dynamics.
Mathematical models can forecast the expected scenarios for post-burn dermal evolution and help identify treatments.
The auto industry’s rapid growth has intensified the need for efficient car classification and damage...
The use of inverse modeling builds bridges between two very different mathematical models of stratocumulus clouds.
Mathematical models tested the effectiveness of various mitigation strategies to combat disinformation in a repeatable way.
The development of multiphysics numerical simulation tools to assess ice crystal icing is critical in the...
Numerical simulations could support coil choice for aneurysm treatment by estimating the outcomes in silico.
Mobile technologies such as smartwatches can help monitor the real-time health signals of individuals with depression.
Some interesting results have recently emerged in the overlap between artificial intelligence and epidemiology.
The simultaneous use of multiple solvers and meshes supports a dynamic overset mesh system for wind farm...
Efficient computational models for permafrost thaw require accurate mathematical representations of physical processes.
Machine learning models can help discover the useful information that is hidden in protein structural data.
The framework for microswimming simulation is based on mathematical models for fluid-structure interactions.
A workflow compares conformational changes in similar proteins whose amino acid sequences have different lengths.
The droplet formation process is full of physics and mathematics that describe the governing method of droplet...
Can a rotating magnetic field propel an axisymmetric and fore-aft symmetric robot if it is soft and deformable?
The effects of load carrying on the performance of microscopic organisms at low Reynolds numbers are poorly...
Mathematical models depict angiogenesis and address the motion of epithelial cells on a planar substrate.
Researchers combined data with mathematical modeling and Bayesian inference to examine the dynamics of epithelial...