Wave energy technologies can provide reliable, local power for autonomous underwater vehicles, and at-sea applications across ...

How in-house-developed and third-party general-purpose simulation tools are limited to a few expert users and aren’t easily shareable. How multiphysics simulation of subsystems can result in an ...

Equipment failures emerge from complex system interactions in real-world conditions that simulation cannot fully predict or ...

System Dynamics is a computer-aided approach for strategy and policy design. The main goal is to help people make better decisions when confronted with complex, dynamic systems. The approach provides ...

VICKSBURG, Miss. — In contingency operations, the Modular Causeway System (MCS), an assembly of floating modules, is often used for loading and unloading supplies and equipment from ship to shore. The ...

A newly developed generative AI model is helping researchers explore protein dynamics with increased speed. The deep learning system, called BioEmu, predicts the full range of conformations a protein ...

Researchers from BIFOLD and Google DeepMind have developed MD-ET, a transformer-based molecular dynamics model that achieves state-of-the-art results without encoding traditional physical constraints ...

Researchers from Google DeepMind, BIFOLD, and TU Berlin have unveiled AI models that simulate molecular behavior without hard-coded physical laws, achieving competitive results through massive ...

[email protected] (716) 645-0484 Professor Geography and Director of the NCGIA Geography College of Arts and Sciences Area(s) of interest: GIS, Epidemiological Modeling, Linguistics Primary research ...

Community-Based System Dynamics (CBSD) is a participatory method for engaging and working with communities and organizations to address complex issues. Developed from group model building and system ...