| Budget Amount *help |
¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
Fiscal Year 2017: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2016: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2015: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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| Outline of Final Research Achievements |
We developed an algorithm to estimate the peak position that represents atoms appearing in STM topography data by using the sparse modeling approach. Our algorithm is applicable to the real material samples, for example, SrVO3 thin films. On top of that, we developed algorithms for investigating the effective interaction between the peaks from the experimental data, and for determining the species of atoms from STM topography datasets. We also developed a faster algorithm to calculate Leave-One-Out cross validation errors by using reweighting algorithm with Markov-chain Monte Carlo method.
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