Neil Ferraro

New York University — United States

Materials Science · Physical Sciences

2h-index74citations12works0.02yr avg
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Research Topics

Machine Learning in Materials Science(12), Innovative Microfluidic and Catalytic Techniques Innovation(11), Computational Drug Discovery Methods(4), Topic Modeling(1)

Publications12 total

Using word embeddings in abstracts to accelerate metallocene catalysis polymerization research
Computers & Chemical Engineering·2020· 8 cited
Combining automated microfluidic experimentation with machine learning for efficient polymerization design
Nature Machine Intelligence·2020· 65 cited
Combining automated microfluidic experimentation with machine learning for efficient polymerization design
Zenodo (CERN European Organization for Nuclear Research)·2020Open Access
Combining automated microfluidic experimentation with machine learning for efficient polymerization design
Zenodo (CERN European Organization for Nuclear Research)·2020Open Access
Combining automated microfluidic experimentation with machine learning for efficient polymerization design
Zenodo (CERN European Organization for Nuclear Research)·2020Open Access
Combining automated microfluidic experimentation with machine learning for efficient polymerization design
Zenodo (CERN European Organization for Nuclear Research)·2020Open Access
Combining automated microfluidic experimentation with machine learning for efficient polymerization design
Zenodo (CERN European Organization for Nuclear Research)·2020Open Access
Combining automated microfluidic experimentation with machine learning for efficient polymerization design
Zenodo (CERN European Organization for Nuclear Research)·2020Open Access
Combining automated microfluidic experimentation with machine learning for efficient polymerization design
Zenodo (CERN European Organization for Nuclear Research)·2020Open Access
Combining Automated Microfluidic Experimentation with Machine Learning for Efficient Polymerization Design
2020Open Access
Combining Automated Microfluidic Experimentation with Machine Learning for Efficient Polymerization Design
2020· 1 citedOpen Access
Combining automated microfluidic experimentation with machine learning for efficient polymerization design
Zenodo (CERN European Organization for Nuclear Research)·2019Open Access

Frequent Co-authors

Benjamin Rizkin(12), Albert Shkolnik(12), Ryan L. Hartman(12), David K. Ho(1)