首页|Belgorod State University Details Findings in Machine Learning (Machine Learning Assisted Design of New Ductile High-entropy Alloys: Application To Al-cr-nb-ti- v-zr System)
Belgorod State University Details Findings in Machine Learning (Machine Learning Assisted Design of New Ductile High-entropy Alloys: Application To Al-cr-nb-ti- v-zr System)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingoriginating in Belgorod, Russia, by NewsRx journalists, research stated, “The search for new high-entropyalloys (HE As) with desired properties is an urgent problem that is hardly solvable experim entally dueto the extremely large number of possible alloy compositions. Thus, methods for theoretical prediction ofHEA’s properties play a key role.”
BelgorodRussiaAlloysCyborgsEmerg ing TechnologiesMachine LearningBelgorod State University
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