S. Tomita

Effectiveness of Neural Kriging for Three-Dimensional Modeling of Sparse and Strongly Biased Distribution of Geological Data with Application to Seafloor Hydrothermal Mineralization

K. Koike, Y. Takaya, Oak Yono, 2022, Mathematical Geosciences.

Numerical Simulation‐Based Clarification of a Fluid‐Flow System in a Seafloor Hydrothermal Vent Area in the Middle Okinawa Trough

K. Suzuki, S. Tomita, K. Koike, 2020, Geophysical Research Letters.

Utilization and Effectiveness of Numerical Simulation Based on a Cold-Water Trapping Mechanism for Epithermal Gold Exploration

K. Koike, Hiroshi Takahashi, S. Tomita, 2022, Natural Resources Research.

Chrysosplenium suzukaense (Saxifragaceae), a New Species from Yoro and Suzuka Mts., Central Honshu, Japan

M. Wakabayashi, Hiroshi Takahashi, S. Tomita, 2018 .

A cold-water trap as an essential process for the generation of low-sulfidation epithermal deposits: Geological and numerical studies of the Hosokura deposit, northern Japan

K. Koike, Hiroshi A Takahashi, S. Tomita, 2020 .

Geological Modeling and Numerical Simulation of Cold-Water Trap in the Low-Sulfidation Epithermal Sirawai Au–Ag Deposit, Mindanao, Philippines

K. Koike, Hiroshi A Takahashi, S. Tomita, 2022, Natural Resources Research.