I am a theoretical physicist at NORDITA in Stockholm. My expertise is in electronic structure methods. Currently I am using AI to push transport computations towards the million atom limit.
Email: alextyner[at]gmail.com
WORK EXPERIENCE
NORDITA Fellow → NORDITA, 2023-Current
PhD Applied Physics→ Northwestern University, 2017-2023
BSc Mathematics and Physics → Davidison College, 2012-2016
Recent Works:
J.T. Heath, A.C. Tyner, …, A.V. Balatsky, Tailoring Superconductivity with Two-Level Systems, Phys. Rev. Lett. 136, 216001 (2026) [Editors Suggestion]
A.C. Tyner, Fine tuning generative adversarial networks with universal force fields: application to two-dimensional topological insulators. 2D Materials, 13(2), 025026 (2026).
A.C. Tyner, W. Rodgers,…, C.T. Chen, J.M. Rondinelli, Accelerated Discovery of Topological Conductors for Nanoscale Interconnects, Advanced Science, e20535 (2026)
M. Kiani, A.C. Tyner, et. al, Searching for materials for next-generation on-chip interconnects, Newton 5, 1, 100133 (2025)
C. Grindall*, A.C. Tyner, A-K. Wu, T.L. Hughes, J.H. Pixley, Separate Surface and Bulk Topological Anderson Localization Transitions in Disordered Axion Insulators, Phys. Rev. Lett. 135, 226601 (2025)
A.C. Tyner, Machine learning guided discovery of stable, spin-resolved topological insulators, Phys. Rev. Research 6, 023316 (2024)
A.C. Tyner, BerryEasy: A GPU enabled python package for diagnosis of nth-order and spin-resolved topology in the presence of fields and effects, J. Phys.: Condens. Matter (2024)
A.C. Tyner and A.V. Balatsky, Screening the organic materials database for superconducting metal-organic frameworks, PLoS ONE 19(11): e0310211 (2024)
P. Krantz, A.C. Tyner†, et. al, Intrinsic Magnetism is KTaO3 Heterostructures, Appl. Phys. Lett. 124, 093102 (2024)
A.C. Tyner and S. Sur, Dipolar Weyl-Semimetals, Phys. Rev. B 109, L081101 (2024)
*Authors contributed equally †First theory author