Social Media Ideas for Ai In Material Science

How AI and self-driving labs could accelerate semiconductor materials discovery

By Joseph F. Krause, co-founder and CEO, Radical AI The next great semiconductor breakthrough will come down to new materials, not just engineering. The field is running into multi...

AI helps design new materials that work in the real world

The “CrysVCD” tool developed at MIT could cut the huge amounts of time and money spent on screening out chemically unstable designs.

AI learns how to make materials, not just predict them

Machine learning can turn decades of synthesis literature into practical design rules, narrowing huge materials spaces to candidates worth making in the lab.

AI Searched 150 Million Materials – and Found Two Promising Candidates for Future Electronics

Researchers built a dataset of 1,202 records from 448 papers and screened about 150 million virtual compositions to identify potential materials for future MLCCs and electric vehic...

AI adds chemical intuition to automated X-ray diffraction analysis

Researchers combine probabilistic X-ray diffraction analysis with LLM-based chemical reasoning to rank competing phase identifications and flag questionable results for human revie...

AI learns from failed experiments to find recipes for new materials

An AI platform turns literature into synthesis recipes, learns from failed experiments and finds successful conditions for previously unreported materials.

AI turns thousands of published recipes into a guide for making new materials

An AI system mines thousands of published synthesis recipes and uses experimental feedback to refine how new materials are made, reducing reliance on trial and error.

Five metals driving demand behind the AI boom

The growth of AI data centres is increasing demand for copper, gallium, germanium, rare earth elements and aluminium across power, cooling and networking infrastructure systems. In...

Physics-aware AI could accelerate hydrogen storage materials discovery

A physics-aware AI framework combines reliable data, predictive models and automated experiments to accelerate discovery of hydrogen storage materials.

AI tests 40 of 100 million ways to 3D-print a NASA rocket alloy & found 6 that worked

Washington State University researchers used artificial intelligence to find better printing methods. This advance significantly reduces the cost and time for printing a critical m...

Can Diamonds Embody the Future of Electronics?

AI is helping create ultra-pure lab-grown diamonds that could cool powerful chips today—but could they one day become semiconductor materials for future electronics?  Y Combinator-...

This AI Can Find the Missing Atoms That X-Rays Cannot See

An AI model adapted from image inpainting can reconstruct missing atoms in crystal structures with a reported 97 percent success rate. A crystal structure can appear nearly complet...

Mitsui Chemicals Joins as Founding Member of AI Materials Foundry, a Network Aiming to Accelerate New Materials Developm...

Mitsui Chemicals, Inc. (Tokyo: 4183; President & CEO: ICHIMURA Satoshi) today announced that it has joined AI Materials Foundry, an international network that aims to accelerat...

Japan to tap AI to speed up materials development 10-fold

AI helping to develop alloy for use in new applications, Valterra Platinum reports

Can you use AI to find new markets for platinum group metals (PGMs)? “The simple answer is yes,” was the reply of Valterra Platinum CEO Craig Miller to Mining Weekly during the lat...

AI finds six ways to print rocket-grade alloy on commercial 3D printers

Washington State University researchers used artificial intelligence to find a more efficient, less expensive way to 3D-print a high-performance metal alloy, saving researchers fro...

Predicting microelectronics performance with physics-informed artificial intelligence

A new AI framework will link atomic-scale defects to device performance, helping researchers detect failures earlier and design more reliable, efficient electronics.

Coating Method Prepares Glass For AI Chips 

Why are glass substrates gaining attention for AI chips? A method coats millions of tiny holes needed to connect advanced chip packages.  TRUMPF has developed an industrial high-po...

CuspAI launches AI Materials Foundry, confirms $450m raise

CuspAI says materials discovery is the ‘single challenge’ holding back industrial progress – and it’s built a foundry of global partners to help solve it. Read more: CuspAI launche...

Physics advance could improve how AI remembers and learns

Researchers created a new type of spin glass made of atoms and photons and used it to increase the memory capacity of simple artificial intelligence systems.

AI for Science: Breaking the boundaries of what science can achieve

A new initiative aims to develop research-focused AI and build scientific infrastructure for faster discovery in the AI era.

AI searches for the molecular recipe behind stretchable electronics

A four-year project will build predictive models linking polymer structure and processing to performance, aiming to speed flexible bioelectronics discovery.

Искусственный интеллект научился предсказывать, как ведут себя атомы в различных материалах

Источник: Компьютерра - Журнал о науке и технологиях Американские исследователи разработали ИИ-систему, которая автоматизирует процесс моделирования атомов в материалах. Эта техно...

Engineers develop atomically thin 'analogue in-memory search' chip to redefine AI computing limits with minimalist archi...

A 2D-material memory chip performs searches where data is stored, cutting energy use and latency while accelerating AI tasks by up to 100 million times.