Best Paper Award

On October 8, 2024, during the Annual Retreat, we proudly recognized the outstanding contributions of our young members by awarding the best PhD and postdoc research papers. A. Lauritsen and D. Sulz were honored for their exemplary PhD research, while M. Christiansen received accolades for his outstanding postdoc work. As part of this recognition, travel grants were awarded to support their future endeavors.

Asbjorn B. Lauritsen

Best Paper:
(joint with R. Seiringer) Pressure of a dilute spin-polarized Fermi gas: Lower bound. Forum of Mathematics, Sigma. 2024;12. doi:10.1017/fms.2024.56

Asbjorn Lauritsen delves into the ground state energy and pressure of a dilute spin-polarized Fermi gas at positive temperature. He provides a two-term asymptotic expansion in the dilute limit, employing sophisticated methods for upper and lower bounds. His work, which integrates complex cluster expansions and perturbative strategies, makes vital contributions to the rigorous analysis of many-body quantum systems.

Dominik Sulz

Best Papers:
(joint with G. Ceruti, C. Lubich) Rank-Adaptive Time Integration of Tree Tensor Networks, SIAM J. Numer. Anal. 61 (2023), 194-222.
(joint with G. Ceruti, D. Kressner) Low-Rank Tree Tensor Network Operators for Long-Range Pairwise Interactions, arXiv:2405.09952.

Dominik Sulz's research focuses on the numerical analysis of tensor networks with tree structures in quantum dynamics. His significant contributions push the boundaries of existing knowledge and algorithms, paving the way for future advancements in this field.

Martin R. Christiansen

Best Paper:
(joint with C. Hainzl, P. T. Nam) The Correlation Energy of the Electron Gas in the Mean-Field Regime. Preprint 2024, arXiv:2405.01386

During his postdoctoral phase, Martin has made remarkable strides in the study of correlation energy in Fermi gases. He rigorously established the mean-field analogue of the renowned Gell-Mann-Brueckner formula for the correlation energy of the electron gas. His innovative work introduces new tools that enhance previous findings on regular interactions, with the potential to significantly influence future research directions.

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We congratulate all our awardees for their exceptional achievements and look forward to their continued contributions to the field!