materials

MIT AI learns molecular language for rapid materials development and drug discovery

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AI molecular properties concept illustration

MIT-Watson AI Labs’ new AI system dramatically simplifies drug and material discovery by accurately predicting molecular properties with minimal data. The system takes advantage of a molecular grammar learned through reinforcement learning to efficiently generate new molecules. This method has demonstrated remarkable effectiveness even with datasets of less than 100 samples. This AI system needs … Read more

Better and faster design of light-emitting organic materials with machine learning and quantum computing

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(A) Structure of Alq3 (B) Flowchart of the authors of two selected quantum optimization algorithms (C) Illustration of the authors' method to reduce the influence of device noise

image: (A) Structure of Alq3 (B) Flowchart of the authors of two selected quantum optimization algorithms (C) Illustration of the authors’ method to reduce the influence of device noise visualization Moreover Credit: QI GAO ET AL Over the past decade, organic luminescent materials have been recognized by academia and industry as promising components for lightweight, … Read more