137 citations · 584 across the 21 of their papers we have counts for
23 papers
VoroTypes: automated enumeration of Voronoi cell topologies for structural identification of complex crystals in atomistic simulations
Emanuel A. Lazar, Chris H. Rycroft
VoroTypes enumerates, for an arbitrary crystal structure, the complete family of Voronoi cell topologies that can arise under small generic perturbations of atomic positions, and e…
Hindsight-Privileged RLVR: Single-Rollout Token Credit Without Group Sampling
Wei Chen, Yubing Wu, Zhou Xu +9
Reinforcement learning with verifiable rewards (RLVR) trains language models from checked task outcomes, but assigning a terminal reward to individual reasoning tokens or actions r…
Characterizing structural features of two-dimensional particle systems through Voronoi topology
Emanuel A. Lazar, Jiayin Lu, Chris H. Rycroft +1
This paper introduces a new approach toward characterizing local structural features of two-dimensional particle systems. The approach can accurately identify and characterize defe…
Identification of high-reliability regions of machine learning predictions in materials science using transparent conducting oxides and perovskites as examples
Evan M. Askanazi, Emanuel A. Lazar, Ilya Grinberg
Progress in the application of machine learning (ML) methods to materials design is hindered by the lack of understanding of the reliability of ML predictions, in particular for th…
Pair correlation function based on Voronoi topology
Vasco M. Worlitzer, Gil Ariel, Emanuel A. Lazar
The pair correlation function (PCF) has proven an effective tool for analyzing many physical systems due to its simplicity and its applicability to simulated and experimental data.…
An extension to VORO++ for multithreaded computation of Voronoi cells
Jiayin Lu, Emanuel A. Lazar, Chris H. Rycroft
VORO++ is a software library written in C++ for computing the Voronoi tessellation, a technique in computational geometry that is widely used for analyzing systems of particles. VO…