Exploring PtSO4 and PdSO4 phases: an evolutionary algorithm based investigation
Literature Information
Hom Sharma, Vinit Sharma
Metal sulfate formation is one of the major challenges to the emission aftertreatment catalysts. Unlike the incredibly sulfation prone nature of Pd to form PdSO4, no experimental evidence exists for PtSO4 formation. Given the mystery of nonexistence of PtSO4, we explore PtSO4 using a combined approach of an evolutionary algorithm based search technique and quantum mechanical computations. Experimentally known PdSO4 is considered for the comparison and validation of our results. We predict many possible low-energy phases of PtSO4 and PdSO4 at 0 K, which are further investigated in a wide range of temperature–pressure conditions. An entirely new low-energy (tetragonal P42/m) structure of PtSO4 and PdSO4 is predicted, which appears to be the most stable phase of PtSO4 and a competing phase of the experimentally known monoclinic C2/c phase of PdSO4. Phase stability at a finite temperature is further examined and verified by Gibbs free energy calculations of sulfates towards their possible decomposition products. Finally, temperature–pressure phase diagrams are computationally established for both PtSO4 and PdSO4.
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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.













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