PreprintLicence not statedChemRxiv
Artificially intelligent modeling of macromolecular assemblies
- 1Scuola Normale Superiore, Piazza San Silvestro, 12, Pisa, Italy, 56127
- 2Istituto Nanoscienze, National Research Council (CNR-NANO, NEST-SNS, Piazza San Silvestro, 12, Pisa, Italy, 56127
- 3INFN Sez Pisa
Versions
Related
- Large integration time-step in molecular dynamics simulation artificially enhances the strength of hydrophobic interaction
- Macromolecular Size Matching in Stabilizing Corrugated Chiral Plasmonic Nanostructures
- Polymer-Bound and Macromolecular Hindered Phenolic Antioxidants: Architectures, Anti-Migration Mechanisms, and Applications
- Environmentally friendly novel macromolecular leveller imidazole-pentaerythritol glycidyl ether with high electroplating performance
- High-pressure macromolecular crystallography as a tool for studying protein flexibility
BibTeX
@misc{bini2026artificially,
title = {{Artificially intelligent modeling of macromolecular assemblies}},
author = {Margherita Bini and Valentina Tozzini},
howpublished = {ChemRxiv},
year = {2026},
month = sep,
doi = {10.26434/chemrxiv.15002913/v2},
url = {https://chemrxiv.org/doi/full/10.26434/chemrxiv.15002913/v2},
}
RIS
TY - UNPB
TI - Artificially intelligent modeling of macromolecular assemblies
AU - Margherita Bini
AU - Valentina Tozzini
PY - 2026
DA - 2026/09/02
PB - ChemRxiv
DO - 10.26434/chemrxiv.15002913/v2
UR - https://chemrxiv.org/doi/full/10.26434/chemrxiv.15002913/v2
ER -