Materials Informatics– category –
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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... -
U.S. Tech Guide Explains Quantum Computing’s Potential to Accelerate Drug Discovery, Materials Research, and Financial Optimization
Tech Guide USA Overview Tech Guide explains that quantum computing promises significant advancements in drug discovery, materials research, cryptography, and financial optimization in the near future, fields where classical solvers have ... -
Korea Times Reports SES AI to Enhance ‘vibe research’ AI for Battery Material Discovery in Response to Robotics Boom
The Korea Times South Korea Overview The Korea Times reported that Boston-based battery company SES AI is focusing on 'vibe research,' an AI-driven approach for battery material discovery, to meet increasing demand from the robotics sect... -
PhysicsX Raises $135M at ~$170M Total Funding for AI to Reduce Industrial Engineering Simulation from Days to Seconds
The AI World UK Overview London-based AI startup PhysicsX successfully raised $135 million in Series B funding, bringing its total funding to nearly $170 million, for its deep learning-powered AI technology that reduces industrial engine...
