Introduction to a wide range of computational techniques for engineering design. Modeling, simulation, optimization, design software, examples/projects with emphasis on computational techniques for ...
The team developed a computational framework using robotic path planning algorithms to rapidly identify optimal composition gradients between dissimilar materials. The framework enables the creation ...
Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025, focusing on graph neural networks (GNNs), sequence-to-sequence (Seq2Seq) ...
Our CSM research includes static and dynamic analyses of complex solid bodies using computational approaches such as finite volume, finite element, discrete element, and meshless methods. The focus of ...
This Research Topic highlights recent advances in fractal geometry, fractional calculus, and artificial intelligence (AI) for addressing complex problems in ...
If you have a deep-seated, nagging worry over dropping your phone in molten lava, you're in luck. Materials scientists have developed a method for rapidly discovering a new class of materials with ...
A computational method for finding transition states in chemical reactions, greatly reducing computational costs with high reliability, has been devised. Compared to the most widely used existing ...
Researchers at the University of Pennsylvania have introduced 'Mollifier Layers,' an AI-based mathematical approach to solve inverse partial differential equations more reliably and with less ...
Conceptual illustration of transition state searches. Points along the reaction path (often called images, metaphorically represented by person) are incrementally updated to find a transition state ...
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