Alex M. Ganose

Materials Chemistry · 2016–2020

A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Materials Chemistry — 56 citations into it
• Electrical and Electronic Engineering — 37 citations into it

Whom Alex M. Ganose trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. David O. Scanlon
2. Shyue Ping Ong
3. Tadatsugu Minami
4. Paolo Giannozzi

Papers from Alex M. Ganose's perspective

Ordered by how strongly the researchers Alex M. Ganose trusts endorse each paper. Same corpus, a different order for every researcher.

1. Python Materials Genomics (pymatgen): A robust, open-source python library for materials analysis
2. Matplotlib: A 2D Graphics Environment
3. QUANTUM ESPRESSO: a modular and open-source software project for quantum simulations of materials (Journal of Physics: Condensed Matter)
4. Inhomogeneous Electron Gas
5. The atomic simulation environment-a Python library for working with atoms. (Journal of Physics: Condensed Matter)
6. Materials discovery and design using machine learning
7. Machine Learning Directed Search for Ultraincompressible, Superhard Materials.
8. New cubic perovskites for one- and two-photon water splitting using the computational materials repository
9. Band gap and work function tailoring of SnO2 for improved transparent conducting ability in photovoltaics
10. COMPUTATIONAL MATERIALS SCIENCE XI

Their papers

• Benchmarking materials property prediction methods: the Matbench test set and Automatminer reference algorithm (2020) — 457 citations
• Band gap and work function tailoring of SnO2 for improved transparent conducting ability in photovoltaics (2016) — 184 citations
• Perspectives and Design Principles of Vacancy-Ordered Double Perovskite Halide Semiconductors (2019) — 231 citations
• sumo: Command-line tools for plotting and analysis of periodic *ab initio* calculations (2018) — 431 citations