首页|Investigators at Texas A&M University Discuss Findings in Machine L earning (Generative Inverse Design of Metamaterials With Functional Responses By Interpretable Learning)

Investigators at Texas A&M University Discuss Findings in Machine L earning (Generative Inverse Design of Metamaterials With Functional Responses By Interpretable Learning)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting originating from College Stat ion, Texas, by NewsRx correspondents, research stated, “Metamaterialswith funct ional responses can exhibit varying properties under different conditions (e.g., wave-basedresponses or deformation-induced property variation). This work addr esses rapid inverse design of suchmetamaterials to meet target qualitative func tional behaviors, a challenge due to its intractability andnonunique solutions. ”

College StationTexasUnited StatesN orth and Central AmericaMachine LearningTexas A&M University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Dec.6)