Peizhe Tang
Artificial Intelligence · 2013–2021
A researcher in the Science corpus: 6 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 10 citations into it
Whom Peizhe Tang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Peizhe Tang overall
Papers from Peizhe Tang's perspective
Ordered by how strongly the researchers Peizhe Tang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
- Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
- The Elements of Statistical Learning
- I and i
- Fast and accurate modeling of molecular atomization energies with machine learning.
- Towards the computational design of solid catalysts.
- Advances in Neural Information Processing Systems 25
- Perspective: Materials informatics and big data: Realization of the “fourth paradigm” of science in materials science
- Crystal structure representations for machine learning models of formation energies
- Battery materials for ultrafast charging and discharging
Their papers
- Large-gap quantum spin Hall insulators in tin films. (2013) — 1,007 citations
- Learning atoms for materials discovery (2018) — 195 citations
- Electronic structure of silicene on Ag(111): Strong hybridization effects (2013) — 152 citations
- Light-induced emergent phenomena in 2D materials and topological materials (2021) — 275 citations
- Dirac fermions in an antiferromagnetic semimetal (2016) — 258 citations
- Stable two-dimensional dumbbell stanene: A quantum spin Hall insulator (2014) — 148 citations