Behind the Paper
The real stories behind the latest research papers, from conception to publication, the highs and the lows
A crystal graph neural network model for defect formation in clean energy materials
Broad materials screening for defect properties requires fast methods that circumvent the need for first-principles supercell calculations of a vast number of possible defect configurations. We construct and train a defect graph neural network to screen oxides for clean energy applications.
Integrating Somatic CNV and Gene Expression in Breast Cancers from Women with PTEN Hamartoma Tumor Syndrome
Copy number variation and transcript features from breast cancers arising in the setting of germline PTEN mutations revealed distinct biological characteristics compared to sporadic breast cancers.
