Tag: Material science
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Unprecedented Discovery: Metal Demonstrates Self-Healing Properties, Revolutionary for Advanced Engineering
Discover the groundbreaking metal with self-healing properties that could revolutionize engineering. Imagine a world where materials can autonomously repair themselves.
MIT Researchers Develop Unified Framework: Machine Learning for Predicting Molecular Properties and Generating New Molecules with Minimal Data
MIT researchers have developed a revolutionary machine learning framework for drug development and material science, predicting molecular properties and generating new molecules with limited training data.
Advances in Machine Learning for Scientific Applications
Youngjoon Hong is an Associate Professor at KAIST, and specializes in computational mathematics and deep learning. Find out more about his research that focuses on applied mathematics and deep learning models for generative models in materials and scientific problem-solving. Recent advancements in machine learning for scientific computing are transforming the field of science and technology.