Benjamin Rizkin

New York University — United States

Engineering · Physical Sciences

6h-index191citations18works0.02yr avg
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Research Topics

Innovative Microfluidic and Catalytic Techniques Innovation(14), Machine Learning in Materials Science(14), Computational Drug Discovery Methods(4), Topic Modeling(1), Organometallic Complex Synthesis and Catalysis(1)

Publications18 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
Activation of homogenous polyolefin catalysis with a machine-assisted reactor laboratory-in-a-box (μAIR-LAB)
Reaction Chemistry & Engineering·2020· 2 cited
Combining automated microfluidic experimentation with machine learning for efficient polymerization design
Zenodo (CERN European Organization for Nuclear Research)·2019Open Access
Supervised machine learning for prediction of zirconocene-catalyzed α-olefin polymerization
Chemical Engineering Science·2019· 29 cited
Review Article: Spectroscopic microreactors for heterogeneous catalysis
Journal of Vacuum Science & Technology A Vacuum Surfaces and Films·2019· 33 citedOpen Access
Artificial Neural Network control of thermoelectrically-cooled microfluidics using computer vision based on IR thermography
Computers & Chemical Engineering·2018· 40 cited
Catalytic activity of Pd/hydrophilic phosphine ligand in the interface of an aqueous-phase Cu-free Sonogashira coupling
Reaction Chemistry & Engineering·2018· 10 cited
Confined methane–water interfacial layers and thickness measurements using in situ Raman spectroscopy
Lab on a Chip·2017· 3 cited

Frequent Co-authors

Ryan L. Hartman(18), Albert Shkolnik(12), Neil Ferraro(12), Karina Popovich(1), Filip Popovic(1), David K. Ho(1), Bruno Pinho(1), Yukun Liu(1)