Nature

Machine learning for materials discovery and optimization

This Collection supports and amplifies research related to SDG 9 - Industry, Innovation & Infrastructure. Discovering new materials with customizable and optimized properties, driven either by ...
Nature

Machine learning in materials science

Machine learning is a powerful tool in materials research. Our collection of articles looks in depth at applications of machine learning in various areas of materials science. Machine learning holds ...
Machine Design

Materials Selection in Precision Mechanical Components

Produced with all-steel rotating components, the Bevel Buddy Box from Sumimoto Drive Technologies is a compact right-angle-shaft gearmotor with a bevel and helical gear mechanism, designed for hollow ...
Michigan Technological University

Researchers Apply Machine Learning and AI in Search of Less Costly Electronic Structure Method

Electron density prediction for a four-million-atom aluminum system using machine learning, deemed to be infeasible using traditional DFT method. × Researchers from Michigan Tech and the University of ...
AZOM

Harnessing AI and Machine Learning for Advanced Materials Testing

Materials testing is critical in product development and manufacturing across various industries. It ensures that products can withstand tough conditions in their ...
Analytics Insight

How AI is Revolutionizing Materials Science and Innovation

Overview: AI is transforming materials science by dramatically reducing the time needed to discover and test new ...
mccormick.northwestern.edu

Machine Learning Used to Predict Synthesis of Complex Novel Materials

Scientists and institutions dedicate more resources each year to the discovery of novel materials to fuel the world. As natural resources diminish and the demand for higher value and advanced ...
Plastics Today

AI, Machine Learning Accelerate Materials Research, Compress R&D Timelines

Two recent developments in artificial intelligence (AI) and machine learning have the potential to accelerate product development by streamlining materials research. Israel-based MaterialsZone, a ...
Semiconductor Engineering

Machine Learning Tools Accelerate Materials Discovery

Literature searches, simulations, and practical experiments have been part of the materials science toolkit for decades, but the last few years have seen an explosion of machine learning-driven ...
Science Daily

Machine learning for morphable materials

Flat materials that can morph into three-dimensional shapes have potential applications in architecture, medicine, robotics, space travel, and much more. But programming these shape changes requires ...
CompositesWorld

Next-gen composites manufacturing: Combining material, machine and mold cavity data with analytics

The importance of digital tools and simulation for successful composite parts design is well established, whether for aircraft wings, automotive bumper beams or bicycle frames. Over the past decade, ...