Publications

Preprints (*trainee)

1. S Anand*, X Ma, S Guo, S. Martiniani, X Cheng, "Bacteria Through Obstacles: Unifying Fluxes, Entropy Production, and Extractable Work in Living Active Matter", arXiv preprint arXiv:2308.08421 (2023)
2. S. Rawat*, S. Martiniani, “Explicit Rational Function Solutions for the Power Spectral Density of Stochastic Linear Time-Invariant Systems”, arXiv preprint arXiv:2305.19890 (2023)
3. A. Shih*, M. Casiulis*, S. Martiniani, “Fast Generation of Spectrally-Shaped Disorder”, arXiv preprint arXiv:2305.15693 (2023)

Published

4. J. A. Vita*, E. G. Fuemmeler*, A. Gupta*, G.P. Wolfe*, A. Q. Tao*, R. S. Elliott, S. Martiniani, E. B. Tadmor, “ColabFit Exchange: open-access datasets for data-driven interatomic potentials”, J. Chem. Phys. 159, 154802 (2023)
5. A. W. Golinski*, Z. D. Schmitz*, G. H. Nielsen, B. Johnson*, D. Saha*, S. Appiah*, B. J. Hackel, S. Martiniani, “Predicting and Interpreting Protein Developability via Transfer of Convolutional Sequence Representation”, ACS Synthetic Biology 12 (9), 2600-2615
6. S. Martiniani, “Bit-propelled active matter”, Journal Club for Condensed Matter Physics, March 2023. DOI: 10.36471/JCCM_March_2023_03.
7. M. Casiulis*, S. Martiniani, “When you can’t count sample! Computable entropies beyond equilibrium from basin volumes”, Papers in Physics, 15, 150001 (2023).
   • Invited perspective in “Focus Series on Challenges in Granular Matter”, Editors: K. Daniels, L. Pugnaloni, J. Zhao.
8. C. Anzivino, M. Casiulis*, T. Zhang,* A. S. Moussa, S. Martiniani, A. Zaccone, “Estimating random close packing in polydisperse and bidisperse hard spheres via an equilibrium model of crowding”, J. Chem. Phys., 158, 044901 (2023)
9. S. Ro, B. Guo, A. Shih*, T.V. Phan, R.H. Austin, D. Levine, P.M. Chaikin, S. Martiniani, “Model-Free Measurement of Local Entropy Production and Extractable Work in Active Matter”, Phys. Rev. Lett. 129, 220601 (2022).
   • Cover article for Phys. Rev. Lett.
   • Highlighted as Editor's Suggestion in Phys. Rev. Lett.
   • Highlighted in “ Viewpoint: Measuring Entropy in Active-Matter Systems”, Physics 15, 179 (2022)
10. A. W. Golinski*, K. M. Mischler, S. Laxminarayan, N. Neurock, M. Fossing, H. Pichman, S. Martiniani, B. J. Hackel, “High-Throughput Developability Assays Enable Library-Scale Identification of Producible Protein Scaffold Variants”, Proc. Natl. Acad. Sci., 118, 23 (2021)
11. A. Cavagna, P. M. Chaikin, D. Levine, S. Martiniani, A. Puglisi, M. Viale, “Vicsek Model by Time-Interlaced Compression: a Dynamical Computable Information Density”, Phys. Rev. E 103, 062141 (2021)
12. S. Martiniani, Y. Lemberg, P. M. Chaikin, D. Levine, “Correlation lengths in the language of computable information”, Phys. Rev. Lett., 125, 170601 (2020)
13. S. Martiniani, P. M. Chaikin, D. Levine, “Quantifying hidden order out of equilibrium”, Phys. Rev. X, 9, 011031 (2019)
    • Highlighted in “File compression uncovers hidden order”, Physics Today (2019).
14. S. Martiniani, K. J. Schrenk, K. Ramola, B. Chakraborty, D. Frenkel, “Numerical test of the Edwards conjecture shows that all packings become equally probable at jamming”, Nature Physics, 13, 848-851 (2017)
    • Highlighted in “Intuition harnessed in the name of particle packing”, Nature, 546, 575 (2017).
    • Highlighted in “A thermodynamic theory of granular materials endures”, Physics Today 70, 9 (2017).
    • Highlighted in “Material Witness: A jammy guess?”, Nature Materials, 15, 1227 (2016).
15. D. Frenkel, K. J. Schrenk, S. Martiniani, “Monte Carlo sampling for stochastic weight functions”, Proc. Natl. Acad. Sci., 114, 27 (2017)
16. A. J. Ballard, R. Das, S. Martiniani, D. Mehta, L. Sagun, J. D. Stevenson, D. J. Wales, “Energy Landscapes for Machine Learning”, Phys. Chem. Chem. Phys., 19, 12585 (2017)
    • Cover article for Phys. Chem. Chem. Phys.
17. S. Martiniani, K. J. Schrenk, J. D. Stevenson, D. J. Wales, D. Frenkel, “Structural analysis of high dimensional basins of attraction”, Phys. Rev. E 94, 031301 (2016)
18. S. Martiniani, K. J. Schrenk, J. D. Stevenson, D. J. Wales, D. Frenkel, “Turning intractable counting into sampling: computing the configurational entropy of three-dimensional jammed packings”, Phys. Rev. E 93, 012906 (2016)
    • Highlighted in NewScientist and other news sources, see Press.
19. A. J. Ballard, S. Martiniani, J. D. Stevenson, S. Somani, D. J. Wales, “Exploiting the potential energy landscape to sample free energy”, WIREs Comput. Mol. Sci. 5, 273 (2015)
20. S. Martiniani, J. D. Stevenson, D. J. Wales, D. Frenkel, “Superposition Enhanced Nested Sampling”, Phys. Rev. X 4, 031034 (2014)
21. C. Magistris†, S. Martiniani†, N. Barbero, J. Park, C. Benzi, A. Anderson, C. H. Law, C. Barolo, B. C. O'Regan, “Near-infrared absorbing squaraine dye with extended π conjugation for dye-sensitized solar cells”, Renewable Energy 60, 672 (2013)
22. C. E. Richards, A. Y. Anderson, S. Martiniani, C. Law, B. C. O'Regan, “The Mechanism of Iodine Reduction by TiO2 Electrons and the Kinetics of Recombination in Dye-Sensitized Solar Cells”, J. Phys. Chem. Lett. 3, 1980 (2012)
23. S. Martiniani, A. Y. Anderson, C. Law, B. C. O'Regan and C. Barolo, “New insight into the regeneration kinetics of dye sensitised solar cells”, Chem. Commun. 48, 2406 (2012)

Ph.D. Theses

24. A. Golinsky*, "Data-driven approach to engineering protein evolvability and developability", University of Minnesota (2021)
25. S. Martiniani "On the complexity of energy landscapes: algorithms and a direct test of the Edwards conjecture", University of Cambridge (2017)