{"language":[{"iso":"eng"}],"supervisor":[{"full_name":"Plessl, Christian","id":"16153","last_name":"Plessl","first_name":"Christian","orcid":"0000-0001-5728-9982"}],"doi":"10.17619/UNIPB/1-1281","type":"dissertation","date_updated":"2022-07-25T18:14:23Z","year":"2022","place":"Paderborn","status":"public","author":[{"last_name":"Lass","id":"24135","full_name":"Lass, Michael","orcid":"0000-0002-5708-7632","first_name":"Michael"}],"publisher":"Universität Paderborn","title":"Bringing Massive Parallelism and Hardware Acceleration to Linear Scaling Density Functional Theory Through Targeted Approximations","_id":"32414","department":[{"_id":"27"},{"_id":"518"}],"date_created":"2022-07-25T18:13:51Z","user_id":"24135","citation":{"ama":"Lass M. Bringing Massive Parallelism and Hardware Acceleration to Linear Scaling Density Functional Theory Through Targeted Approximations. Universität Paderborn; 2022. doi:10.17619/UNIPB/1-1281","mla":"Lass, Michael. Bringing Massive Parallelism and Hardware Acceleration to Linear Scaling Density Functional Theory Through Targeted Approximations. Universität Paderborn, 2022, doi:10.17619/UNIPB/1-1281.","ieee":"M. Lass, Bringing Massive Parallelism and Hardware Acceleration to Linear Scaling Density Functional Theory Through Targeted Approximations. Paderborn: Universität Paderborn, 2022.","apa":"Lass, M. (2022). Bringing Massive Parallelism and Hardware Acceleration to Linear Scaling Density Functional Theory Through Targeted Approximations. Universität Paderborn. https://doi.org/10.17619/UNIPB/1-1281","bibtex":"@book{Lass_2022, place={Paderborn}, title={Bringing Massive Parallelism and Hardware Acceleration to Linear Scaling Density Functional Theory Through Targeted Approximations}, DOI={10.17619/UNIPB/1-1281}, publisher={Universität Paderborn}, author={Lass, Michael}, year={2022} }","short":"M. Lass, Bringing Massive Parallelism and Hardware Acceleration to Linear Scaling Density Functional Theory Through Targeted Approximations, Universität Paderborn, Paderborn, 2022.","chicago":"Lass, Michael. Bringing Massive Parallelism and Hardware Acceleration to Linear Scaling Density Functional Theory Through Targeted Approximations. Paderborn: Universität Paderborn, 2022. https://doi.org/10.17619/UNIPB/1-1281."}}