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The “CrysVCD” tool developed at MIT could cut the huge amounts of time and money spent on screening out chemically unstable designs.
An AI-assisted robotic laboratory automates the entire metal research workflow, from heat treatment to structural analysis and mechanical testing, advancing autonomous materials di...
New research can help AI models understand crystalline materials in 3D and reason about their properties.
Machine learning can turn decades of synthesis literature into practical design rules, narrowing huge materials spaces to candidates worth making in the lab.
LLM-powered agents can connect fragmented materials science laboratory workflows, but reliable autonomy depends on shared data standards, interoperable tools, preserved experimenta...
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...
New research can help AI models understand crystalline materials in 3D and reason about their properties.
A new framework integrates physical laws into materials AI to improve interpretability, testability, and reliability in materials discovery.
An AI platform turns literature into synthesis recipes, learns from failed experiments and finds successful conditions for previously unreported materials.
A physics-aware AI framework combines reliable data, predictive models and automated experiments to accelerate discovery of hydrogen storage materials.
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...
AI-assisted simulations rapidly identify promising woven structures for sound absorption, dramatically reducing the need to test countless textile patterns individually.
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...
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Materials platform that uses AI and cloud storage to digitize design firms' product libraries, now is a partner of the alliance of 46 design firms dedicated to developing a shareab...
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.
A four-year project will build predictive models linking polymer structure and processing to performance, aiming to speed flexible bioelectronics discovery.
An AI design system that relearns as it searches finds nano architectures 18 to 23 percent stiffer than comparable designs missed by a fixed model.
A technique to control where atomically thin semiconductor crystals begin growing, potentially enabling high-quality stacked chips that reduce data-transfer delays and energy consu...
Insider Brief PRESS RELEASE — Terra Quantum, a global leader in quantum technologies, and Empa, the Swiss Federal Laboratories for Materials Science and Technology, announced LP-FN...
Thermal interface materials, cold plate design, coolant flow, and simulations help engineers manage heat and reliability in AI chips. Thermal interface material (TIM) remains a key...
Training on full thickness electrode samples made AI generated battery structures more faithful to manufacturing effects, improving their value for virtual testing.
From process engineers building bespoke "Process Agents" to seamlessly bridging customer demand with manufacturing execution, Quick AI is emerging as UnionTech's core platform for...
This article gives an overview of the idea, science, technical advances, and future of one of Nanotechnology’s most promising innovations…Continue reading on Medium »
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