3 papers
cs.LG2026
Machine learning model for predicting surface wettability in laser-textured metal alloys
Mohammad Mohammadzadeh Sanandaji, Danial Ebrahimzadeh, Mohammad Ikram Haider +3
Surface wettability, governed by both topography and chemistry, plays a critical role in applications such as heat transfer, lubrication, microfluidics, and surface coatings. In th…
cond-mat.mtrl-sci2025
Synthesizability Prediction of Crystalline Structures with a Hierarchical Transformer and Uncertainty Quantification
Danial Ebrahimzadeh, Sarah Sharif, Yaser Mike Banad
Predicting which hypothetical inorganic crystals can be experimentally realized remains a central challenge in accelerating materials discovery. SyntheFormer is a positive-unlabele…
cond-mat.mtrl-sci2025
Accelerated Discovery of Vanadium Oxide Compositions: A WGAN-VAE Framework for Materials Design
Danial Ebrahimzadeh, Sarah S. Sharif, Yaser M. Banad
The discovery of novel materials with tailored electronic properties is crucial for modern device technologies, but time-consuming empirical methods hamper progress. We present an…