首页|Reports Outline Machine Learning Study Findings from Fuzhou University (Machine Learning Nuclear Orbital-free Density Functional Based On Thomas-fermi Approach)
Reports Outline Machine Learning Study Findings from Fuzhou University (Machine Learning Nuclear Orbital-free Density Functional Based On Thomas-fermi Approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting from Fujian, People’s Republi c of China, by NewsRx journalists, research stated, “Orbital-free density functi onal theory (DFT) is much more efficient than the orbital-dependent Kohn-Sham DF T due to the avoidance of the auxiliary one-body orbitals. The machine learning approach has been applied to build nuclear orbital-free DFT recently [Wu et al., Phys. Rev.”
FujianPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningFuzhou University
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