DAN TOPA, EMIL MAKOVICKY, Dan Topa, Emil Makovicky
Crystal structures of stoichiometric gladite (empirical formula Cu 1.32Pb1.37Bi6.65S12.03) and krupkaite (empirical formula Cu2.00Pb2.03Bi5.99S12.04) from Felbertal, Austria, were refined to R1 = 0.045 and 0.037, respectively, yielding improved positional parameters and interatomic distances. Structures of “oversubstituted” gladite with an excess of Pb + Cu substitution for Bi + tetrahedral vacancy (empirical formula Cu 1.55Pb1.59Bi6.43S12.02, percentage of the aikinite end-member, naik = 39), of “undersubstituted” krupkaite (Cu 1.85Pb1.92Bi6.12S12.06, naik = 47), and of “oversubstituted” krupkaite (Cu 2.32Pb2.40Bi5.64S12.16, naik = 59) from the same locality, were refined to the R 1 values of 0.041, 0.051, and 0.052, respectively. Additional copper (occupancy 0.22) forms a broadly zig-zag pattern in each 1 ½ subcell of gladite. In “undersubstituted” krupkaite (naik = 47), the regular Cu position (Cu 1) was found to be slightly undersaturated. The “oversubstituted” krupkaite (naik = 59) contains additional Cu, located in the Cu 2 sites situated half-way between the fully occupied Cu 1 positions. Fixing their occupancy to 0.18, in agreement with EPMA data, and refining the adjacent large cation sites as two sites, with 0.18 Pb and 0.82 Bi, respectively, yielded the final model refined here. Interatomic distances and other characteristics of the polyhedra are used to evaluate the effects of cation substitution.
@article{a99d1333-d409-42ea-b4d4-ed402c22a0b9,
title={THE STRUCTURAL ROLE OF EXCESS Cu AND Pb IN GLADITE AND KRUPKAITE BASED ON NEW REFINEMENTS OF THEIR STRUCTURE},
author={DAN TOPA and EMIL MAKOVICKY and Dan Topa and Emil Makovicky},
year={2002},
language={en}
}TY - JOUR TI - THE STRUCTURAL ROLE OF EXCESS Cu AND Pb IN GLADITE AND KRUPKAITE BASED ON NEW REFINEMENTS OF THEIR STRUCTURE AU - DAN TOPA AU - EMIL MAKOVICKY AU - Dan Topa AU - Emil Makovicky PY - 2002 LA - en ER -
A. Ryan, E. Johanson
The design of process plants for feasibility studies must address several key objectives, including feasibility and constructibility, while focusing o
Unknown, Unknown
This chapter discusses metal casting processes, highlighting the diversity and common characteristics among them. The objective is to elucidate the fu
Rajesh Jha, Bimal Kumar Jha
This book describes the application of artificial intelligence (AI) and machine learning (ML) concepts to develop predictive models that can be used t
The Australasian Institute of Mining and Metallurgy
This conference, held in Perth, Western Australia, focuses on the latest advancements in metallurgical processing plant design and operational strateg
David Pollard, Geoff Dunlop
The MetPlant 2008 conference focused on advancements in metallurgical processing of ores, emphasizing plant design, operation strategies, and innovati
P Card, J Canterford
This document presents a collection of papers from the METPLANT 2011 conference focusing on metallurgical plant design and operating strategies. The o