Accelerating materials design with high-throughput experiments and data science
Advances in machine learning and computational modeling have revolutionized materials design by enabling researchers to predict, optimize, and discover advanced...
Materials
A Quantum-Integrated Chemistry Platform Targeting Faster Drug and Materials Discovery
Mitsui & Co., Ltd. (“Mitsui”), QSimulate, and Quantinuum today announced the launch of a new quantum-integrated chemistry platform, QIDO (Quantum-Integrated...
Probing the limitations of multimodal language models for chemistry and materials research
The MaCBench frameworkOur benchmark design is guided by the observation that scientific work requires not only access to multiple modalities...
An accurate and efficient framework for modelling the surface chemistry of ionic materials
Nørskov, J. K., Bligaard, T., Rossmeisl, J. & Christensen, C. H. Towards the computational design of solid catalysts. Nat. Chem....
Materials Graph Library (MatGL), an open-source graph deep learning library for materials science and chemistry
Chen, C., Zuo, Y., Ye, W., Li, X., Deng, Z. & Ong, S. P. A critical review of machine learning...
Sustainable Materials: Why Measurement Matters
One of the most dynamic frontiers in the field of materials science is the development of new and improved sustainable...
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