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  • Category: journal article

Category: Research

“Accelerating Materials Property Predictions Using Machine Learning” Published in Scientific Reports

Professor Ramamurthy Ramprasad, postdoctoral fellow Dr. Ghanshyam Pilania, and doctoral candidate Chenchen Wang of Materials Science and Engineering, in conjunction with Professor Sanguthevar Rajasekaran (Computer Science and Engineering) and Dr. Xun Jiang (Ph.D. Statistics 2013), jointly collaborated on a research paper published online on September 30, 2013 in Scientific Reports, the open access journal of Nature.

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UConn Team Develops New Program for Visualizing DNA, Protein Sequences

A group of researchers and students from UConn – including computer science students – and Harvard Medical School have developed a new Web program that will help scientists visually analyze DNA and protein sequence patterns faster and more efficiently than ever before.

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