Publications

43 results at ACS Fall 2023

Harnessing the Power of Language Models to Accelerate Material Design
- - Matteo Manica
- 2023
- ACS Fall 2023
PatCID: Large-scale chemical-structure database from images in patent documents
- - Ingmar Meijer
  - Valery Weber
  - et al.
- 2023
- ACS Fall 2023
Seeing the unseen: leveraging vision models to extract digital fingerprints of complex liquids
- - Gianmarco Gabrieli
  - Matteo Manica
  - et al.
- 2023
- ACS Fall 2023
Utilizing domain-specific languages as a tools for enabling AI-guided materials design
- - Nathaniel Park
- 2023
- ACS Fall 2023
Folding and misfolding of Huntingtin protein from a coevolutionary perspective
- - Leili Zhang
- 2023
- ACS Fall 2023
Synthesis Platforms for Generating High-Quality Polymer Datasets Utilizing Continuous and Discontinuous Reaction Setups
- - Tim Erdmann
  - Nathaniel Park
  - et al.
- 2023
- ACS Fall 2023
Quantum machine learning force fields
- - Francesco Tacchino
  - Oriel Kiss
  - et al.
- 2023
- ACS Fall 2023
Knowledge extraction pipeline with foundation models for material discovery
- - Viviane T. Silva
  - Breno William Santos Rezende de Carvalho
  - et al.
- 2023
- ACS Fall 2023
Quantum Embedding Method for the Simulation of Strongly Correlated Systems on Quantum Computers
- - Max Rossmannek
  - Fabijan Pavošević
  - et al.
- 2023
- ACS Fall 2023
Automatic structure elucidation from NMR spectra
- - Marvin Alberts
  - Federico Zipoli
  - et al.
- 2023
- ACS Fall 2023