Publications

43 results at 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
Talk
PatCID: Large-scale chemical-structure database from images in patent documents
- - Ingmar Meijer
  - Valery Weber
  - et al.
- 2023
- ACS Fall 2023
Talk
Utilizing domain-specific languages as a tools for enabling AI-guided materials design
- - Nathaniel Park
- 2023
- ACS Fall 2023
Talk
Quantum Embedding Method for the Simulation of Strongly Correlated Systems on Quantum Computers
- - Max Rossmannek
  - Fabijan Pavošević
  - et al.
- 2023
- ACS Fall 2023
Talk
Knowledge extraction pipeline with foundation models for material discovery
- - Viviane T. Silva
  - Breno William Santos Rezende de Carvalho
  - et al.
- 2023
- ACS Fall 2023
Talk
Potential pitfalls in the use of quantum computing hardware-efficient Ansatze in electronic structure theory
- - Ruhee D'cunha
  - Mario Motta
  - et al.
- 2023
- ACS Fall 2023
Talk
Quantum chemistry simulation of ground- and excited-state properties of the sulfonium cation on a superconducting quantum processor
- - Mario Motta
  - Gavin Jones
  - et al.
- 2023
- ACS Fall 2023
Talk
Hydrogen bond vs cationic activation: Exploring next generation design motifs for ROP organocatalysts
- - Jia Zhang
  - Caleb Jadrich
  - et al.
- 2023
- ACS Fall 2023
Talk
Lab automation, data modeling, and AI agents for accelerated catalyst discovery
- - Nathaniel Park
  - Matteo Manica
  - et al.
- 2023
- ACS Fall 2023
Talk
Molecular dynamics as a data source: scaling simulation for building AI models
- - Joseph Morrone
  - Jeff Weber
  - et al.
- 2023
- ACS Fall 2023
Talk