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ULTERA database, developed under the ARPA-E's ULTIMATE program, is aimed at collecting literature data on high entropy alloys (HEAs) to facilitate rapid discovery of new ones using forward and inverse design, with the primary focus on creep behavior, yield stress, ductility, and hardness. As of July 2022, ULTERA contains over 6,200 property-datapoints, corresponding to 2,485 unique HEAs, collected from 455 source DOIs. All data is available through a high-performance API, following FAIR principles, while statistics on it can be found at our phaseslab.com/ultera web page. The database architecture is designed to automatically integrate starting literature data in real-time with methods such as experiments, generative modeling, predictive modeling, and validations.
high temperature, ULTIMATE, ULTERA, high entropy alloys, database
high temperature, ULTIMATE, ULTERA, high entropy alloys, database
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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