activity
20152025
most citedWitnessing entanglement in quantum magnets using neutron scattering

94 citations · 551 across the 19 of their papers we have counts for

collaborators

19 papers

cond-mat.mtrl-sci2025

Emergent hidden order in ice: frustration and glassiness from slow hydrogen dynamics

Tianran Chen, D. Jonathan P. Morris, Isaac C. Ownby +9

Frustrated systems can host hidden order, in which weak interactions select correlated structure from a highly degenerate manifold. Water ice Ih is the canonical example of such a…

cond-mat.str-el2022

Zig-Zag magnetic order and potential Kitaev interactions in the spin-1 honeycomb lattice KNiAsO

K. M. Taddei, V. O. Garlea, A. M. Samarakoon +6

Despite the exciting implications of the Kitaev spin-Hamiltonian, finding and confirming the quantum spin liquid state has proven incredibly difficult. Recently the applicability o…

cond-mat.str-el2022★ 12 cited

Bootstrapped Dimensional Crossover of a Spin Density Wave

Anjana M. Samarakoon, J. Strempfer, Junjie Zhang +8

Quantum materials display rich and myriad types of magnetic, electronic, and structural ordering, often with these ordering modes either competing with one another or 'intertwining…

cond-mat.dis-nn2022

The Geometrically Frustrated Spin Glass (Fe1-pGap)2TiO5

Y. Li, D. Phelan, F. Ye +9

The unusual anisotropy of the spin glass transition in the pseudobrookite system FeTiO has been interpreted as arising from an induced, van der Waals-like, interaction amon…

cond-mat.str-el2022★ 27 cited

Extraction of the interaction parameters for RuCl from neutron data using machine learning

Anjana M. Samarakoon, Pontus Laurell, Christian Balz +6

Single crystal inelastic neutron scattering data contain rich information about the structure and dynamics of a material. Yet the challenge of matching sophisticated theoretical mo…

cond-mat.other2021★ 5 cited

Integration of Machine Learning with Neutron Scattering: Hamiltonian Tuning in Spin Ice with Pressure

A. M. Samarakoon, D. Alan Tennant, Feng Ye +2

Quantum materials research requires co-design of theory with experiments and involves demanding simulations and the analysis of vast quantities of data, usually including pattern r…