nkysdb: なかよし論文データベース
Diana Mindaleva 様の 共著関連データベース
+(A list of literatures under single or joint authorship with "Diana Mindaleva")
共著回数と共著者名 (a list of the joint author(s))
5: Masaoki Uno, Noriyoshi Tsuchiya
3: Atsushi Okamoto, 土屋 範芳
1: Alexey Kotov, Jiajie Wang, Nobuo Hirano, Ryoichi Yamada, Satoshi Matsuno, Tatsuro ADACHI, Tetsuo Kawakami, Vani Novita Alviani, 亀田 純, 加藤 湧也, 岡本 敦, 杉沢 直樹, 松野 哲士, 笠原 久夢
発行年とタイトル (Title and year of the issue(s))
2019: Short fluid infiltration events in the low permeable metamorphic rocks triggered by crustal fracturing at amphibolite–granulite facies conditions (SCG48 22)
2019: 岩石 水反応帯から見積もる地殻内の流体圧勾配と浸透率(SCG58 06)
Crustal fluid pressure gradients and permeability estimated from fluid rock reaction zones (SCG58 06)
2020: Fluid pressure gradients and permeability evolution in the crust: insights from metamorphic fluid rock reaction zones and hydrothermal experiments(SCG63 08)
Fluid pressure gradients and permeability evolution in the crust: insights from metamorphic fluid rock reaction zones and hydrothermal experiments (SCG63 08)
2020: Hydrologic properties evolution during magmatic fluid activity in the middle crustal conditions estimated from metamorphic fluid rock reaction zones, Sør Rondane Mountains, East Antarctica. (SMP38 18)
2021: Coupling between fluid flux and dynamical permeability evolution in the middle lower crust, an example from Sør Rondane Mountains (SRM), East Antarctica. (SIT20 10)
2022: Naturally injected short lived fluid flow in a single fracture related to seismic events in the middle crust
2022: Optimal conditions for selective precipitation of REEs and some metals controlled by the function of pH and temperature. An example from Tamagawa hot spring, Akita Prefecture. (HRE13 P12)
2023: Multiple hydration events and fluids characteristics in amphibolite in the Main Shear Zone, Sør Rondane Mountains, East Antarctica (SMP26 09)
2023: 機械学習を用いたREEパターン識別によるタングステン鉱物から製品までの金属トレーサビリティ技術
Metal traceability technology from tungsten minerals to products by REE pattern identification using machine learning