Publications

43 results at ACS Fall 2023

Utilizing domain-specific languages as a tools for enabling AI-guided materials design
- - Nathaniel Park
- 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
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 machine learning force fields
- - Francesco Tacchino
  - Oriel Kiss
  - et al.
- 2023
- ACS Fall 2023
Folding and misfolding of Huntingtin protein from a coevolutionary perspective
- - Leili Zhang
- 2023
- ACS Fall 2023
Predicting the right Reaction Solvents in Organic Synthesis using Artificial Intelligence
- - Oliver Schilter
  - Carlo Baldassari
  - et al.
- 2023
- ACS Fall 2023
Molecular dynamics as a data source: scaling simulation for building AI models
- - Joseph Morrone
  - Jeff Weber
  - et al.
- 2023
- ACS Fall 2023
Understanding the role of mass transport and lithium interphase design in enabling conversion batteries
- - Murtaza Zohair
  - Maxwell Giammona
  - et al.
- 2023
- ACS Fall 2023
Interpretable latent representations for molecular property prediction models
- - Sanjoy Dey
  - Partha Suryanarayanan
  - et al.
- 2023
- ACS Fall 2023
Accelerated Electrolyte Discovery using Data Driven Approach
- - Vidushi Sharma
  - Maxwell Giammona
  - et al.
- 2023
- ACS Fall 2023