N. Bobbitt

Materials Chemistry · 2016–2020

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Materials Chemistry — 88 citations into it
• Inorganic Chemistry — 80 citations into it

Whom N. Bobbitt trusts overall

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

1. Randall Q. Snurr
2. Yamil J. Colón

Papers from N. Bobbitt's perspective

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

1. Applicability of the BET method for determining surface areas of microporous metal-organic frameworks. (Journal of the American Chemical Society)
2. Attention is All you Need (Neural Information Processing Systems)
3. Γ and B
4. Language Models are Few-Shot Learners (Neural Information Processing Systems)
5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
6. From molecules to crystal engineering: supramolecular isomerism and polymorphism in network solids. (Chemical Reviews)
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Long Short-Term Memory
9. Generating Sequences With Recurrent Neural Networks
10. Tricubic interpolation in three dimensions

Their papers

• Inverse design of nanoporous crystalline reticular materials with deep generative models (2020) — 348 citations
• Energy-based descriptors to rapidly predict hydrogen storage in metal–organic frameworks (2019) — 160 citations
• High-Throughput Screening of Metal-Organic Frameworks for Hydrogen Storage at Cryogenic Temperature (2016) — 167 citations