Stefano Martiniani, PhD
Affiliations: | 2019-2021 | Chemical Engineerng and Materials Science | University of Minnesota, Twin Cities, Minneapolis, MN |
| 2022- | Physics | New York University, New York, NY, United States |
Area:
Statistical and Computational PhysicsWebsite:
https://as.nyu.edu/content/nyu-as/as/faculty/stefano-martiniani.htmlGoogle:
"Stefano Martiniani"Bio:
Stefano Martiniani is an Assistant Professor of Physics, Chemistry and Mathematics at New York University.
https://orcid.org/0000-0003-2028-2175
https://www.researchgate.net/profile/Stefano-Martiniani
https://scholar.google.com/citations?user=pxSj9JkAAAAJ&hl=en
Mean distance: (not calculated yet)
Cross-listing: Chemistry Tree
Parents
Sign in to add mentor| Brian C O'Regan | research assistant | 2010-2011 | Imperial College London (Chemistry Tree) |
| Alexei Kornyshev | research assistant | 2011-2012 | Imperial College London |
| Daan Frenkel | grad student | 2012-2017 | Cambridge |
| Paul Michael Chaikin | post-doc | 2017-2019 | NYU |
| Dov Levine | post-doc | 2017-2019 | Technion |
Collaborators
Sign in to add collaborator| David J. Heeger | collaborator | 2019- | NYU (Neurotree) |
| Brian C O'Regan | collaborator | 2010-2011 | Imperial College London (Chemistry Tree) |
| David J. Wales | collaborator | 2012-2017 | Cambridge (Chemistry Tree) |
| Bulbul Chakraborty | collaborator | 2016-2017 | Brandeis |
BETA: Related publications
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Publications
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| Rawat S, Heeger DJ, Martiniani S. (2024) Unconditional stability of a recurrent neural circuit implementing divisive normalization. Arxiv |
| Ro S, Guo B, Shih A, et al. (2022) Model-Free Measurement of Local Entropy Production and Extractable Work in Active Matter. Physical Review Letters. 129: 220601 |
| 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 |