{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T13:10:06Z","timestamp":1755868206739,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":15,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,7,17]],"date-time":"2024-07-17T00:00:00Z","timestamp":1721174400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"NSF","award":["1927880"],"award-info":[{"award-number":["1927880"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,7,17]]},"DOI":"10.1145\/3626203.3670619","type":"proceedings-article","created":{"date-parts":[[2024,7,17]],"date-time":"2024-07-17T20:12:20Z","timestamp":1721247140000},"page":"1-5","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["A64FX Enables Engine Decarbonization Using Deep Learning"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0000-7726","authenticated-orcid":false,"given":"Rodrigo","family":"Ristow Hadlich","sequence":"first","affiliation":[{"name":"Dept. of Mechanical Engineering, Institute of Advanced Computational Sciences, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8820-6016","authenticated-orcid":false,"given":"Gaurav","family":"Verma","sequence":"additional","affiliation":[{"name":"Institute of Advanced Computational Sciences, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8192-0700","authenticated-orcid":false,"given":"Tony","family":"Curtis","sequence":"additional","affiliation":[{"name":"Institute of Advanced Computational Sciences, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1216-1576","authenticated-orcid":false,"given":"Eva","family":"Siegmann","sequence":"additional","affiliation":[{"name":"IACS, Institute of Advanced Computational Sciences, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5506-806X","authenticated-orcid":false,"given":"Dimitris","family":"Assanis","sequence":"additional","affiliation":[{"name":"Dept. of Mechanical Engineering, Institute of Advanced Computational Sciences, USA"}]}],"member":"320","published-online":{"date-parts":[[2024,7,17]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","unstructured":"D. Assanis N. Engineer P. Neuman and M. Wooldridge. 2016. Computational Development of a Dual Pre-Chamber Engine Concept for Lean Burn Combustion. In SAE Technical Paper. https:\/\/doi.org\/10.4271\/2016-01-2242","DOI":"10.4271\/2016-01-2242"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/Cluster48925.2021.00106"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3437359.3465578"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3581576.3581615"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-30218-6_19"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1177\/14680874231178099"},{"volume-title":"Internal combustion engine fundamentals","author":"Heywood B","key":"e_1_3_2_1_7_1","unstructured":"J.\u00a0B Heywood. 2018. Internal combustion engine fundamentals. McGraw-Hill Education."},{"key":"e_1_3_2_1_8_1","unstructured":"IEA. [n. d.]. Greenhouse Gas Emissions from Energy Data Explorer \u2013 Data Tools. https:\/\/www.iea.org\/data-and-statistics\/data-tools\/greenhouse-gas-emissions-from-energy-data-explorer"},{"key":"e_1_3_2_1_9_1","unstructured":"ipmi. [n. d.]. GitHub - ipmitool\/ipmitool: An open-source tool for controlling IPMI-enabled systems. https:\/\/github.com\/ipmitool\/ipmitool"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.48550\/arxiv.1412.6980"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","unstructured":"I. Nikiforakis G. Guleria M. Koraiem and D. Assanis. 2022. Understanding Pre-Chamber Combustion Performance in a Closed-Cycle Model of a Novel Rotary Engine. SAE Technical Paper (2022). https:\/\/doi.org\/10.4271\/2022-01-0396","DOI":"10.4271\/2022-01-0396"},{"key":"e_1_3_2_1_12_1","unstructured":"R. Okazaki T. Tabata S. Sakashita K. Kitamura N. Takagi H. Sakata T. Ishibashi T. Nakamura and Y. Ajima. 2020. Supercomputer Fugaku CPU A64FX Realizing High Performance High-Density Packaging and Low Power Consumption. Fujitsu Technical Review (2020)."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","unstructured":"R. Ristow\u00a0Hadlich J. Loprete and D. Assanis. 2024. A Deep Learning Approach to Predict In-Cylinder Pressure of a Compression Ignition Engine. J. of Eng. for Gas Turbines and Power (1 2024) 1\u201312. https:\/\/doi.org\/10.1115\/1.4064480","DOI":"10.1115\/1.4064480"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.4271\/2022-01-0513"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1115\/1.4053981\/1137859"}],"event":{"name":"PEARC '24: Practice and Experience in Advanced Research Computing","sponsor":["SIGAPP ACM Special Interest Group on Applied Computing","SIGHPC ACM Special Interest Group on High Performance Computing, Special Interest Group on High Performance Computing"],"location":"Providence RI USA","acronym":"PEARC '24"},"container-title":["Practice and Experience in Advanced Research Computing 2024: Human Powered Computing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3626203.3670619","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3626203.3670619","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T12:55:46Z","timestamp":1755867346000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3626203.3670619"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,17]]},"references-count":15,"alternative-id":["10.1145\/3626203.3670619","10.1145\/3626203"],"URL":"https:\/\/doi.org\/10.1145\/3626203.3670619","relation":{},"subject":[],"published":{"date-parts":[[2024,7,17]]},"assertion":[{"value":"2024-07-17","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}