Massimiliano Di Ventra is an American-Italian theoretical physicist. Specializing in condensed-matter physics, he is the co-founder of MemComputing, Inc.
Massimiliano Di Ventra | |
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| Nationality | American-Italian |
| Alma mater | EPFL |
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| Awards | |
| Scientific career | |
| Fields | Physics, Nanotechnology |
| Institutions | UCSD |
Education
editDi Ventra obtained his undergraduate degree in physics summa cum laude from the University of Trieste (Italy) in 1991 and did his PhD studies at the École Polytechnique Fédérale de Lausanne (Switzerland) in 1993–1997.[1]
Career
editHe was a visiting scientist at the IBM T.J. Watson Research Center and a research assistant professor at Vanderbilt University before joining the physics department of Virginia Tech in 2000 as assistant professor.[2] He was promoted to associate professor in 2003. In 2004, he moved to the physics department of the University of California, San Diego, where he was promoted to full professor in 2006.[3]
In 2022, Di Ventra was accused of retaliation by a striking graduate student worker in his lab as he gave the student a "U" (unsatisfactory) grade.[4] In response, Di Ventra said he did not threaten the student and that the grade related to the student's lack of performance in classes, saying: "it’s a student class, it’s not related to the strike".[5] After reaching its agreement, the union agreed to drop all charges of unfair labor practices.[6]
Research
editDi Ventra has published more than 200 papers in refereed journals (he was named 2018 Highly Cited Researcher by Clarivate Analytics) and has 7 granted patents (3 foreign).[citation needed] He is the co-founder of MemComputing, Inc.
Di Ventra has made several contributions to condensed-matter physics, especially quantum transport in atomic and nanoscale systems,[7] non-equilibrium statistical mechanics of many-body systems,[8] DNA sequencing by tunneling,[9] and memelements.[10][third-party source needed]
He suggested the MemComputing paradigm of computation,[11][12][13] and with his group and collaborators he derived various analytical properties of memristive networks, including the Caravelli–Traversa–Di Ventra equation,[14] an exact equation for the evolution of the internal memory in a network of memristive devices.
Books
edit- M. Di Ventra and Y.V. Pershin, Memristors and Memelements: Mathematics, Physics, and Fiction (Springer, 2023).
- M. Di Ventra, MemComputing: Fundamentals and Applications (Oxford University Press, 2022).
- M. Di Ventra, The Scientific Method: Reflections from a Practitioner (Oxford University Press, 2018).
- M. Di Ventra, Electrical Transport in Nanoscale Systems (Cambridge University Press, 2008).
- M. Di Ventra, S. Evoy, J.R. Heflin, eds., Introduction to Nanoscale Science and Technology (Springer, 2004).
References
edit- ^ Atomic-scale study of the electronic properties of two-dimensional semiconducting systems. 1997.
- ^ https://diventra.physics.ucsd.edu/
- ^ https://diventra.physics.ucsd.edu/
- ^ "UC and academic workers reach a tentative contract agreement". KPBS Public Media. December 17, 2022.
- ^ "UAW Accuses UCSD Professors of Giving TAs Poor Grades for Striking". Inside Higher Ed. Jan 27, 2023.
- ^ Berkeleyside, Dec 23, 2022
- ^ Electrical Transport in Nanoscale Systems (Cambridge University Press, 2008)
- ^ Di Ventra, Massimiliano; D’Agosta, Roberto (June 1, 2007). "Stochastic Time-Dependent Current-Density-Functional Theory". Physical Review Letters. 98 (22): 226403. arXiv:cond-mat/0702272. Bibcode:2007PhRvL..98v6403D. doi:10.1103/PhysRevLett.98.226403. PMID 17677867. S2CID 34327767 – via APS.
- ^ Lagerqvist, J.; Zwolak, M.; Di Ventra, M. (2006). "Fast DNA Sequencing via Transverse Electronic Transport | Nano Letters". Nano Letters. 6 (4): 779–782. doi:10.1021/nl0601076. PMC 2556950. PMID 16608283.
- ^ Di Ventra, Massimiliano; Pershin, Yuriy V.; Chua, Leon O. (October 14, 2009). "Circuit Elements With Memory: Memristors, Memcapacitors, and Meminductors". Proceedings of the IEEE. 97 (10): 1717–1724. arXiv:0901.3682. doi:10.1109/JPROC.2009.2021077. S2CID 7136764 – via IEEE Xplore.
- ^ Di Ventra, Massimiliano; Pershin, Yuriy V. (April 14, 2013). "The parallel approach". Nature Physics. 9 (4): 200–202. arXiv:1211.4487. Bibcode:2013NatPh...9..200D. doi:10.1038/nphys2566. S2CID 126398506 – via www.nature.com.
- ^ Traversa, Fabio Lorenzo; Di Ventra, Massimiliano (November 14, 2015). "Universal Memcomputing Machines". IEEE Transactions on Neural Networks and Learning Systems. 26 (11): 2702–2715. arXiv:1405.0931. doi:10.1109/TNNLS.2015.2391182. PMID 25667360. S2CID 1406042 – via IEEE Xplore.
- ^ Di Ventra, Massimiliano (2022-02-21). MemComputing: Fundamentals and Applications (1 ed.). Oxford University Press. doi:10.1093/oso/9780192845320.001.0001. ISBN 978-0-19-284532-0.
- ^ Caravelli; et al. (2017). "The complex dynamics of memristive circuits: analytical results and universal slow relaxation". Physical Review E. 95 (2): 022140. arXiv:1608.08651. Bibcode:2017PhRvE..95b2140C. doi:10.1103/PhysRevE.95.022140. PMID 28297937. S2CID 6758362.