Stefaan Simon Pierre Hessmann

Materials Chemistry · 2021

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Materials Chemistry — 32 citations into it
• Computational Theory and Mathematics — 24 citations into it
• Computational Chemistry & Drug Discovery — 17 citations into it
• Atomic and Molecular Physics, and Optics — 11 citations into it
• AI for Physical Sciences — 6 citations into it

Whom Stefaan Simon Pierre Hessmann trusts overall

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

1. Kristof T. Schütt
2. Frank Neese
3. David Weininger

Papers from Stefaan Simon Pierre Hessmann's perspective

Ordered by how strongly the researchers Stefaan Simon Pierre Hessmann trusts endorse each paper. Same corpus, a different order for every researcher.

1. Open Babel: An open chemical toolbox
2. SchNet: A continuous-filter convolutional neural network for modeling quantum interactions
3. Comparing the accuracy of high-dimensional neural network potentials and the systematic molecular fragmentation method: A benchmark study for all-trans alkanes.
4. Deep learning for molecular generation and optimization - a review of the state of the art (Molecular Systems Design & Engineering)
5. SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules
6. The ORCA program system
7. Inverse molecular design using machine learning: Generative models for matter engineering
8. Balanced basis sets of split valence, triple zeta valence and quadruple zeta valence quality for H to Rn: Design and assessment of accuracy.
9. Generalized Gradient Approximation Made Simple.
10. Enumeration of 166 Billion Organic Small Molecules in the Chemical Universe Database GDB-17

Their papers

• Inverse design of 3d molecular structures with conditional generative neural networks (2021) — 228 citations