{"title":"创建用于天体生物学模拟的 Fe$_3$P Schreibersite 密度函数紧密结合模型","authors":"Riccardo Dettori, Nir Goldman","doi":"arxiv-2409.01884","DOIUrl":null,"url":null,"abstract":"The mineral schreibersite, e.g., Fe$_3$P, is commonly found in iron-rich\nmeteorites and could have served as an abiotic phosphorus source for prebiotic\nchemistry. However, atomistic calculations of its degradation chemistry\ngenerally require quantum simulation approaches, which can be too\ncomputationally cumbersome to study sufficient time and length scales for this\nprocess. In this regard, we have created a computationally efficient\nsemi-empirical quantum Density Functional Tight Binding (DFTB) model for iron\nand phosphorus-containing materials by adopting an existing semi-automated\nworkflow that represents many-body interactions by linear combinations of\nChebyshev polynomials. We have utilized a relatively small training set to\noptimize a DFTB model that is accurate for schreibersite physical and chemical\nproperties, including its bulk properties, surface energies, and water\nabsorption. We then show that our model shows strong transferability to several\niron phosphide solids as well as multiple allotropes of iron metal. Our\nresulting DFTB parameterization will allow us to interrogate schreibersite\naqueous decomposition at longer time and length scales than standard quantum\napproaches, allowing for investigations of its role in prebiotic chemistry on\nearly Earth.","PeriodicalId":501369,"journal":{"name":"arXiv - PHYS - Computational Physics","volume":"33 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Creation of an Fe$_3$P Schreibersite Density Functional Tight Binding Model for Astrobiological Simulations\",\"authors\":\"Riccardo Dettori, Nir Goldman\",\"doi\":\"arxiv-2409.01884\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The mineral schreibersite, e.g., Fe$_3$P, is commonly found in iron-rich\\nmeteorites and could have served as an abiotic phosphorus source for prebiotic\\nchemistry. However, atomistic calculations of its degradation chemistry\\ngenerally require quantum simulation approaches, which can be too\\ncomputationally cumbersome to study sufficient time and length scales for this\\nprocess. In this regard, we have created a computationally efficient\\nsemi-empirical quantum Density Functional Tight Binding (DFTB) model for iron\\nand phosphorus-containing materials by adopting an existing semi-automated\\nworkflow that represents many-body interactions by linear combinations of\\nChebyshev polynomials. We have utilized a relatively small training set to\\noptimize a DFTB model that is accurate for schreibersite physical and chemical\\nproperties, including its bulk properties, surface energies, and water\\nabsorption. We then show that our model shows strong transferability to several\\niron phosphide solids as well as multiple allotropes of iron metal. Our\\nresulting DFTB parameterization will allow us to interrogate schreibersite\\naqueous decomposition at longer time and length scales than standard quantum\\napproaches, allowing for investigations of its role in prebiotic chemistry on\\nearly Earth.\",\"PeriodicalId\":501369,\"journal\":{\"name\":\"arXiv - PHYS - Computational Physics\",\"volume\":\"33 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - PHYS - Computational Physics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2409.01884\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Computational Physics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.01884","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Creation of an Fe$_3$P Schreibersite Density Functional Tight Binding Model for Astrobiological Simulations
The mineral schreibersite, e.g., Fe$_3$P, is commonly found in iron-rich
meteorites and could have served as an abiotic phosphorus source for prebiotic
chemistry. However, atomistic calculations of its degradation chemistry
generally require quantum simulation approaches, which can be too
computationally cumbersome to study sufficient time and length scales for this
process. In this regard, we have created a computationally efficient
semi-empirical quantum Density Functional Tight Binding (DFTB) model for iron
and phosphorus-containing materials by adopting an existing semi-automated
workflow that represents many-body interactions by linear combinations of
Chebyshev polynomials. We have utilized a relatively small training set to
optimize a DFTB model that is accurate for schreibersite physical and chemical
properties, including its bulk properties, surface energies, and water
absorption. We then show that our model shows strong transferability to several
iron phosphide solids as well as multiple allotropes of iron metal. Our
resulting DFTB parameterization will allow us to interrogate schreibersite
aqueous decomposition at longer time and length scales than standard quantum
approaches, allowing for investigations of its role in prebiotic chemistry on
early Earth.