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
Utilizing domain-specific languages as a tools for enabling AI-guided materials design
- - Nathaniel Park
- 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
An AI-assisted Workbench for Material Discovery
- - Emilio Ashton Vital Brazil
  - Renato Fontoura de Gusmao Cerqueira
  - et al.
- 2023
- ACS Fall 2023
Combining molecular simulation and AI for antibody design against cancer immunotherapy targets
- - Jeff Weber
- 2023
- ACS Fall 2023
Characterization of small molecule latent spaces derived from a variety of generative molecule creation approaches
- - Wendy Cornell
- 2023
- ACS Fall 2023
Geometry evolution of porous media due to coupled reactive-transport processes within capillary networks
- - David Alejandro Lazo Vasquez
  - Jaione Tirapu Azpiroz
  - et al.
- 2023
- ACS Fall 2023
Creating labs that learn through automated data management
- - Amol Thakkar
  - Andrea Giovannini
  - et al.
- 2023
- ACS Fall 2023
Graph-based 3D Generative Small-Molecule Modeling Targeting for Multi Proteins with Enhanced Binding Compatibility
- - Seung Gu Kang
  - Jeff Weber
  - et al.
- 2023
- ACS Fall 2023
Enhancing Molecular Properties Prediction through Multi-Stage Causal Feature Selection
- - Eduardo Almeida Soares
  - Karen Fiorella Aquino Gutierrez
  - et al.
- 2023
- ACS Fall 2023