New Technology– category –
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U.S. DOE Pioneers AI-Driven Closed-Loop Systems to Slash Material Development Time from Decades to Months
Department of Energy USA Overview The U.S. Department of Energy (DOE) announced a transformative approach integrating AI into materials design workflows, aiming to reduce time-to-market for new materials from decades to months. This init... -
Matforge Leverages AI Scientists to Break Semiconductor Material Bottlenecks, Aided by Google GNoME and Microsoft MatterGen for Novel Crystal Discovery
Founderland USA Overview San Francisco startup Matforge is deploying AI scientists to discover new semiconductor materials, aiming to alleviate material bottlenecks in the $1 trillion chip demand. This effort is bolstered by Google DeepM... -
Machine Learning Unveils Hidden Nanophotonic Resonances in Silicon-Gold Nanopillars, Accelerating Complex Material Analysis
npj Computational Materials Global Overview Machine learning (ML) has revealed previously undetectable hidden nanophotonic resonances in silicon-gold nanopillars. A new ML workflow decodes low-loss EELS data, transforming noisy nanoscale... -
Formal Theory for Crystal Structure Prediction Revolutionizes Inverse Design and Material Property Prediction
arXiv USA Overview A groundbreaking formal theory for crystal structure prediction has been introduced, detailing the inverse design of crystal structures using Constrained Crystal Deep Convolutional Generative Adversarial Networks (CG-D... -
Urgency for Biopolymer Data Standardization to Enhance Machine Learning in Materials Discovery
Biomacromolecules - ACS Publications USA Overview The integration of machine learning with biopolymer datasets critically requires robust data standardization to maximize its potential. Researchers, journals, and data providers share a r... -
Fermilab Builds Large-Scale Data Infrastructure for AI-Driven Scientific Discovery, Supporting DOE’s Genesis Mission
Fermilab USA Overview Fermilab provides the Fermi Data Platform, a secure and large-scale data infrastructure, to support the U.S. Department of Energy's (DOE) Genesis Mission, aimed at fostering AI-driven scientific discovery. This plat... -
Google DeepMind’s GNoME Discovers 2.2 Million New Crystal Structures, Propelling Clean Energy Material Design into a New Era
DEV Community 多国籍 Overview Google DeepMind's GNoME AI has identified an unprecedented 2.2 million new stable crystal structures, including 380,000 deemed practical, surpassing all previously known inorganic materials. This monumental ... -
World Economic Forum Recommends Closed-Loop Integration of AI and Physical Experimentation to Accelerate Materials Innovation and Address Climate Crisis
The World Economic Forum Switzerland Overview The World Economic Forum emphasizes that AI is crucial for accelerating materials innovation to address the climate crisis, necessitating closed-loop integration of AI with physical experimen... -
Bezos Co-Led Prometheus Raises $12B at $41B Valuation to Develop AI Compressing Engineering Design Cycle
Tech Funding News USA Overview Prometheus, co-led by Jeff Bezos, raised an astounding $12 billion in Series B funding, valuing the company at $41 billion, to develop AI tools that drastically shorten engineering design cycles from years ... -
America Makes Awards $2M to Advance AI-Based Material Qualification for Additive Manufacturing
America Makes / NCDMM USA Overview America Makes and NCDMM awarded $2 million to the 'Artificial Intelligence for Material Allowables in Additive Manufacturing (AIM-4AM)' project. This initiative will leverage machine learning to map pro...
