Logan Ward
Argonne National Laboratory(US)City University of Hong Kong(HK)Institute for Learning and Development(US)
Publications by Year
Research Areas
X-ray Diffraction in Crystallography, Crystallization and Solubility Studies, Machine Learning in Materials Science, Scientific Computing and Data Management, Computational Drug Discovery Methods
Most-Cited Works
- → A general-purpose machine learning framework for predicting properties of inorganic materials(2016)1,605 cited
- → Matminer: An open source toolkit for materials data mining(2018)948 cited
- → Accelerated discovery of metallic glasses through iteration of machine learning and high-throughput experiments(2018)519 cited
- → ElemNet: Deep Learning the Chemistry of Materials From Only Elemental Composition(2018)478 cited
- → Including crystal structure attributes in machine learning models of formation energies via Voronoi tessellations(2017)421 cited
- → Can machine learning identify the next high-temperature superconductor? Examining extrapolation performance for materials discovery(2018)247 cited