首页|New Findings on Machine Learning Described by Investigators at Iowa State Univer sity (Unraveling Photoplasticity In Zns: Enhanced Peierls Stress Under Photoexci tation Using Machine Learning Potentials)

New Findings on Machine Learning Described by Investigators at Iowa State Univer sity (Unraveling Photoplasticity In Zns: Enhanced Peierls Stress Under Photoexci tation Using Machine Learning Potentials)

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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 reportingout of Ames, Iowa, by NewsRx editors , research stated, “Photoplasticity, the light-induced alteration ofmechanical properties in semiconductors, is crucial for the development of advanced optoele ctronic devicesand the understanding of semiconductor mechanics. Despite progre ss in understanding this phenomenon,atomic-scale mechanisms, particularly under photoexcitation, remain complex and are partially understood.”

AmesIowaUnited StatesNorth and Cen tral AmericaCyborgsEmerging TechnologiesMachine LearningIowa State Unive rsity

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Dec.17)