Chun-Teh Chen

Computational Theory and Mathematics · 2018

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 7 citations into it
• Materials Chemistry — 6 citations into it

Whom Chun-Teh Chen trusts overall

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

1. Ghanshyam Pilania
2. A. Mannodi‐Kanakkithodi

Who trusts Chun-Teh Chen overall

1. A. du Plessis

Papers from Chun-Teh Chen's perspective

Ordered by how strongly the researchers Chun-Teh Chen trusts endorse each paper. Same corpus, a different order for every researcher.

1. Accelerating materials property predictions using machine learning
2. Face recognition by independent component analysis (IEEE Trans. Neural Networks)
3. Machine Learning Strategy for Accelerated Design of Polymer Dielectrics (Scientific Reports)
4. Additive Manufacturing Technologies
5. Electronic Structure: Basic Theory and Practical Methods
6. An introduction to kernel-based learning algorithms
7. Pattern Recognition and Machine Learning
8. Fast and accurate modeling of molecular atomization energies with machine learning.
9. Inhomogeneous Electron Gas
10. Computational high-throughput screening of electrocatalytic materials for hydrogen evolution (Nature Materials)

Their papers

• Bioinspired hierarchical composite design using machine learning: simulation, additive manufacturing, and experiment (2018) — 425 citations
• De novo composite design based on machine learning algorithm (2018) — 411 citations