Gowoon Cheon

Materials Chemistry · 2023–2025

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

Subfields

Whom Gowoon Cheon trusts overall

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

  1. J. Behler

Papers from Gowoon Cheon's perspective

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

  1. Neural Message Passing for Quantum Chemistry (International Conference on Machine Learning)
  2. Generalized neural-network representation of high-dimensional potential-energy surfaces.
  3. Relational inductive biases, deep learning, and graph networks
  4. The Inorganic Crystal Structure Database (ICSD)—Present and Future
  5. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  6. AFLOWLIB.ORG: A distributed materials properties repository from high-throughput ab initio calculations
  7. Deep Learning Scaling is Predictable, Empirically
  8. Predicting materials properties without crystal structure: deep representation learning from stoichiometry (Nature Communications)
  9. Materials Design and Discovery with High-Throughput Density Functional Theory: The Open Quantum Materials Database (OQMD)
  10. Data mined ionic substitutions for the discovery of new compounds.

Their papers