首页|Recent Findings in Machine Learning Described by a Researcher from Portland Stat e University (Machine learning a universal harmonic interatomic potential for pr edicting phonons in crystalline solids)

Recent Findings in Machine Learning Described by a Researcher from Portland Stat e University (Machine learning a universal harmonic interatomic potential for pr edicting phonons in crystalline solids)

扫码查看
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news reporting from Portland, Oregon, by New sRx journalists, research stated, “Phonons, as quantized vibrational modes in cr ystalline materials, play a crucial role in determining a wide range of physical properties, such as thermal and electrical conductivity, making their study a c ornerstone in materials science.” Funders for this research include National Science Foundation.

Portland State UniversityPortlandOre gonUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesM achine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Mar.15)