Machine-Learning Potentials for Molecular Dynamics Simulations of CO2 Chemisorption and Diffusion in Mg-MOF-74
- Binquan Luan
- Bowen Zheng
- et al.
- 2023
- MRS Spring Meeting 2023
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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62 results for Rodrigo Neumann Barros Ferreira
pyMSER - An open-source library for automatic equilibration detection in Monte Carlo simulations
- Felipe Lopes de Oliveira
- Rodrigo Neumann Barros Ferreira
- et al.
- 2023
- ACS Spring 2023
Quantum informed machine-learning potentials for modeling CO2 adsorption in metal organic frameworks
- Binquan Luan
- Bowen Zheng
- et al.
- 2023
- APS March Meeting 2023
Automated Artificial-intelligence Inverse Design of Polymer Membranes for CO2 Capture and Separation
- Ronaldo Giro
- Hsianghan Hsu
- et al.
- 2022
- MRS Fall Meeting 2022
AI Toolkit for Accelerated Nanoporous Material Discovery
- Jonathan Booth
- Daniel Cunnington
- et al.
- 2022
- MRS Fall Meeting 2022
Automated in silico screening of nanoporous materials for enhanced CO2 capture
- 2021
- MRS Spring Meeting 2021
Pore scale, multi phase flow assessment for industrial applications
- 2020
- APS March Meeting 2020
Computational screening of solid sorbent materials for CO2 capture from molecular to process level
- Rodrigo Neumann Barros Ferreira
- Binquan Luan
- et al.
- 2023
- ACS Spring 2023
Prediction of CO2 Adsorption in Nano-Pores with Graph Neural Networks
- GUOJING CONG
- Anshul Gupta
- et al.
- 2022
- AAAI 2022
Discovery of Novel Reticular Materials for Carbon Dioxide Capture using GFlowNets
- Flaviu Cipcigan
- Jonathan Booth
- et al.
- 2023
- NeurIPS 2023