AI in Computer-Aided Synthesis Planning Market reached USD 2.13 bn in 2024 and is expected to grow rapidly to USD 68.06 bn by ...
Interesting Engineering on MSN
AI-powered muscles made from lifelike materials learn from body, perform safe actions
Researchers in the United States recently worked on AI-powered muscles, made from lifelike materials, paired with intelligent ...
Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
Crystal structure prediction (CSP) of organic molecules is a critical task, especially in pharmaceuticals and materials ...
The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...
Abstract: Researchers and developers can accelerate the maturation of new materials, technology, or process by applying machine learning techniques. In the area of materials science, one top goal of ...
The era has arrived in which artificial intelligence (AI) autonomously imagines and predicts the structures and properties of ...
Computational Nanoscience in the Quantum and AI Era: Integrating Biomolecular and Materials Modeling
The past decade has witnessed remarkable advances in computational power, algorithms, and theoretical methods, enabling accurate modeling and prediction of ...
10d
Geophysical-machine learning tool developed for continuous subsurface geomaterials characterization
Thailand's northern regions, characterized by complex geology and active fault systems, experience frequent landslides that ...
School of Bio-Chemical Engineering and Technology, Sirindhorn International Institute of Technology, and Research Unit in Sustainable Electrochemical Intelligent, Thammasat University, Khlong Luang ...
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