A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a ...
Converting wave motion into electricity holds enormous potential as a renewable energy source, but a lack of standardized prototyping is holding back technological development. A research team led by ...
Advances in machine learning and shape-memory polymers are enabling engineers to design for mechanical performance first and ...
This repository contains the source material, code, and data for the book, Computational Methods for Economists using Python, by Richard W. Evans (2023). This book is freely available online as an ...
Inverse Design Method for Horn Antennas Based on Knowledge-Embedded Physics-Informed Neural Networks
Abstract: This letter aims to overcome the challenges faced by physics-informed neural networks (PINNs) in metal structure design. Taking the design of horn antennas as an example, we propose ...
Abstract: To enhance the application capabilities of large language models (LLMs) in conceptual design, this study explores how to achieve deep integration between LLM-based agents and concept ...
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