Publications

This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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400 results for Accelerated Discovery

Predictive Supremacy of Chemical Foundational Model for Battery Electrolytes
- - Vidushi Sharma
  - Eduardo Almeida Soares
  - et al.
- 2023
- MRS Fall Meeting 2023
Leveraging machine learning and combinatorial signaling motif libraries for engineering CAR T cells
- - Sara Capponi
- 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
Creating labs that learn through automated data management
- - Amol Thakkar
  - Andrea Giovannini
  - et al.
- 2023
- ACS Fall 2023
Automatic structure elucidation from NMR spectra
- - Marvin Alberts
  - Federico Zipoli
  - 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
PatCID: Large-scale chemical-structure database from images in patent documents
- - Ingmar Meijer
  - Valery Weber
  - 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
Understanding the role of mass transport and lithium interphase design in enabling conversion batteries
- - Murtaza Zohair
  - Maxwell Giammona
  - 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