Work

Machine learning assisted rediscovery of methane storage and separation in porous carbon from material literature

Year: 2021

Type: article

Source: Fuel

DOI: 10.1016/j.fuel.2020.120080

Authors: Chi Zhang, Dawei Li, Yunchao Xie, David Stalla, Peng Hua, Duy Tung Nguyen, Ming Xin, Jian Lin

Institution: University of Missouri

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: bronze

Funders: National Science Foundation, U.S. Department of Energy, U.S. Department of Agriculture, National Energy Technology Laboratory

Awards: Laser Fabrication of Subnanometer Catalysts from Metal Organic Nanocapsules, Fundamental Understanding of Lignin Transformation into Graphene via Direct Laser Writing for Energy Storage, G3644449817, G4246513482, G5803440908, DE-FE0031645 - PROJECT TITLED, ''A ROBOTICS ENABLED EDDY CURRENT TESTING SYSTEM FOR AUTONOMOUS INSPECTION OF HEAT EXCHANGER TUBES'' - NEW AWARD

OpenAlex ID: W3120010157

FWCI: 0.988

Cites: 47

Cited by: 25

Related to: 10