Stefano Martiniani, PhD

2019-2021 Chemical Engineerng and Materials Science University of Minnesota, Twin Cities, Minneapolis, MN 
 2022- Physics New York University, New York, NY, United States 
Statistical and Computational Physics
"Stefano Martiniani"

Stefano Martiniani is an Assistant Professor of Physics, Chemistry and Mathematics at New York University.

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Cross-listing: Physics Tree


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Brian C O'Regan research assistant 2010-2011 Imperial College London
Alexei Kornyshev research assistant 2011-2012 Imperial College London (Physics Tree)
Daan Frenkel grad student 2012-2017 Cambridge
Paul Michael Chaikin post-doc 2017-2019 NYU (Physics Tree)
Dov Levine post-doc 2017-2019 Technion (Physics Tree)


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David J. Heeger collaborator 2019- NYU (Neurotree)
Brian C O'Regan collaborator 2010-2011 Imperial College London
David J. Wales collaborator 2012-2017 Cambridge
Bulbul Chakraborty collaborator 2016-2017 Brandeis (Physics Tree)
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Golinski AW, Mischler KM, Laxminarayan S, et al. (2021) High-throughput developability assays enable library-scale identification of producible protein scaffold variants. Proceedings of the National Academy of Sciences of the United States of America. 118
Martiniani S, Lemberg Y, Chaikin PM, et al. (2020) Correlation Lengths in the Language of Computable Information. Physical Review Letters. 125: 170601
Frenkel D, Schrenk KJ, Martiniani S. (2017) Monte Carlo sampling for stochastic weight functions. Proceedings of the National Academy of Sciences of the United States of America
Ballard AJ, Das R, Martiniani S, et al. (2017) Energy landscapes for machine learning. Physical Chemistry Chemical Physics : Pccp
Martiniani S, Schrenk KJ, Stevenson JD, et al. (2016) Structural analysis of high-dimensional basins of attraction. Physical Review. E. 94: 031301
Martiniani S, Schrenk KJ, Stevenson JD, et al. (2016) Turning intractable counting into sampling: Computing the configurational entropy of three-dimensional jammed packings. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 93: 012906
Martiniani S, Anderson AY, Law C, et al. (2012) New insight into the regeneration kinetics of organic dye sensitised solar cells. Chemical Communications (Cambridge, England). 48: 2406-8
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