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Dive into the research topics where Michele Pavanello is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Boosting Density Embedding with Machine Learning and Nonstandard Workflows
5/1/22 → 4/30/25
Project: Research project
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MRI: Acquisition of a High-Performance Computing Cluster for Research and Teaching at Rutgers University-Newark
Pavanello, M., Maitra, N., von Oehsen, J., Cole, M. & Shafto, P.
10/1/21 → 9/30/24
Project: Research project
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Collaborative Research: Elements: Flexible & Open-Source Models for Materials and Devices
11/1/19 → 10/31/23
Project: Research project
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Electron and Electron-Nuclear Dynamics of Open Quantum Subsystems
9/1/17 → 8/31/21
Project: Research project
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Linear-response time-dependent density functional theory approach to warm dense matter with adiabatic exchange-correlation kernels
Moldabekov, Z. A., Pavanello, M., Böhme, M. P., Vorberger, J. & Dornheim, T., Apr 2023, In: Physical Review Research. 5, 2, 023089.Research output: Contribution to journal › Article › peer-review
Open Access -
Machine learning electronic structure methods based on the one-electron reduced density matrix
Shao, X., Paetow, L., Tuckerman, M. E. & Pavanello, M., Dec 2023, In: Nature communications. 14, 1, 6281.Research output: Contribution to journal › Article › peer-review
Open Access -
Which Physical Phenomena Determine the Ionization Potential of Liquid Water?
Martinez B, J. A., Paetow, L., Tölle, J., Shao, X., Ramos, P., Neugebauer, J. & Pavanello, M., Jun 22 2023, In: Journal of Physical Chemistry B. 127, 24, p. 5470-5480 11 p.Research output: Contribution to journal › Article › peer-review
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Accelerating equilibration in first-principles molecular dynamics with orbital-free density functional theory
Fiedler, L., Moldabekov, Z. A., Shao, X., Jiang, K., Dornheim, T., Pavanello, M. & Cangi, A., Oct 2022, In: Physical Review Research. 4, 4, 043033.Research output: Contribution to journal › Article › peer-review
Open Access -
Adaptive Subsystem Density Functional Theory
Shao, X., Lopez, A. C., Khan Musa, M. R., Nouri, M. R. & Pavanello, M., Nov 8 2022, In: Journal of Chemical Theory and Computation. 18, 11, p. 6646-6655 10 p.Research output: Contribution to journal › Article › peer-review