A research group has developed SPACIER, an advanced polymer material design tool that integrates machine learning with ...
An interdisciplinary research team from Leipzig University and the Saxon AI center ScaDS.AI has developed a novel approach ...
AI and ML have significantly improved research capabilities by automating routine tasks and enhancing data analysis.
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10,000 times faster than traditional methods: Computational framework discovers experimental designs in microscopyResearchers at the Max Planck Institute for the Science of Light (MPL) have developed an artificial intelligence (AI) framework which autonomously discovers new experimental designs in microscopy.
Suppose that we have collected experimental data. A computational model represents ... “A main goal is to make computer science tools accessible to biologists. This requires, on one hand ...
Realize the computational theories and methods behind the solutions. Computational Science and Engineering (CSE) at Michigan Technological University is a PhD program engaging faculty and students in ...
“People skills” are also important in this field. Computational chemists need to collaborate with other scientists, and they must be able to explain the results of their experiments to their customers ...
Strategies for Successful Integration of Computational and Empirical Data for Protein Drug Discovery
In this GEN webinar, our subject matter experts, Dr. Lee Fader, Dr. Jeremy Dupaul-Chicoine, and Dr. Maximilian Ebert, will ...
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