Grace X. Gu

Biomedical Engineering · 2016–2020

A researcher in the Science corpus: 6 papers; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Biomedical Engineering — 48 citations into it
• Mechanical Engineering — 35 citations into it
• Biomaterials — 30 citations into it
• Automotive Engineering — 23 citations into it; #2,972 of 3,081 by trust here, #1,067 by citations
• Materials Chemistry — 19 citations into it
• Polymers and Plastics — 19 citations into it
• Computational Theory and Mathematics — 10 citations into it
• Artificial Intelligence — 6 citations into it

Whom Grace X. Gu trusts overall

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

1. Ghanshyam Pilania
2. A. Mannodi‐Kanakkithodi
3. U. Wegst
4. B. Compton
5. Flavia Libonati
6. M. Bartlett
7. Arkady Tsinober
8. André R. Studart
9. Markus J. Buehler

Who trusts Grace X. Gu overall

1. A. du Plessis
2. Zhenze Yang
3. Markus J. Buehler
4. Zhizhou Zhang
5. Christine Van Broeckhoven
6. Chi-Hua Yu

Papers from Grace X. Gu's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Merger of structure and material in nacre and bone - Perspectives on de novo biomimetic materials
3. Scikit-learn: Machine Learning in Python
4. The mechanical efficiency of natural materials
5. Active materials by four-dimension printing
6. Accelerating materials property predictions using machine learning
7. Face recognition by independent component analysis (IEEE Trans. Neural Networks)
8. 3D Printed Reversible Shape Changing Components with Stimuli Responsive Materials (Scientific Reports)
9. Numerical investigation of the impact behaviour of bioinspired nacre-like aluminium composite plates
10. Energy absorbent natural materials and bioinspired design strategies: A review

Their papers

• Bone‐Inspired Materials by Design: Toughness Amplification Observed Using 3D Printing and Testing   (2016) — 170 citations
• Bioinspired hierarchical composite design using machine learning: simulation, additive manufacturing, and experiment (2018) — 425 citations
• Biomimetic additive manufactured polymer composites for improved impact resistance (2016) — 159 citations
• De novo composite design based on machine learning algorithm (2018) — 411 citations
• Prediction of composite microstructure stress-strain curves using convolutional neural networks (2020) — 395 citations
• Developments in 4D-printing: a review on current smart materials, technologies, and applications (2019) — 297 citations