Lixin He

Materials Chemistry · with Vanderbilt · 2001–2019

A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Materials Chemistry — 16 citations into it
• Physical and Theoretical Chemistry — 7 citations into it

Whom Lixin He trusts overall

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

1. J. Behler

Who trusts Lixin He overall

1. M. Dawber

Papers from Lixin He's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. A unified architecture for natural language processing: deep neural networks with multitask learning
4. Large-Scale Video Classification with Convolutional Neural Networks
5. Neural Message Passing for Quantum Chemistry (International Conference on Machine Learning)
6. Geometric Deep Learning: Going beyond Euclidean data
7. Quantum-chemical insights from deep tensor neural networks
8. Addendum: Regularization and variable selection via the elastic net
9. Self-Consistent Equations Including Exchange and Correlation Effects
10. Quantum chemistry structures and properties of 134 kilo molecules

Their papers

• Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective (2019) — 228 citations
• First-principles study of oxygen-vacancy pinning of domain walls in PbTiO 3 (2003) — 227 citations
• Extrinsic models for the dielectric response of CaCu3Ti4O12 (2003) — 302 citations
• First-principles study of the structure and lattice dielectric response of CaCu 3 Ti 4 O 12 (2001) — 292 citations