James E. Gubernatis
Scientific Reports · 2001–2016
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom James E. Gubernatis trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- David Ruppert (in Evaluation & Benchmarks)
Papers from James E. Gubernatis's perspective
Ordered by how strongly the researchers James E. Gubernatis trusts endorse each paper. Same corpus, a different order for every researcher.
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- An introduction to kernel-based learning algorithms
- Fast and accurate modeling of molecular atomization energies with machine learning.
- Real-space grid implementation of the projector augmented wave method
- Computational screening of perovskite metal oxides for optimal solar light capture
- Electronic Structure: Basic Theory and Practical Methods
- Finding Density Functionals with Machine Learning
- NEW METHOD FOR CALCULATING THE ONE-PARTICLE GREEN'S FUNCTION WITH APPLICATION TO THE ELECTRON-GAS PROBLEM
- Kohn-Sham potential with discontinuity for band gap materials
- Adaptive machine learning framework to accelerate ab initio molecular dynamics
Their papers
- Machine learning bandgaps of double perovskites (2016) — 448 citations
- Simulating physical phenomena by quantum networks (2001) — 298 citations