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数理物理学分野（吉留研究室）
Showing the original Japanese · View translation
タンパク質の水和を理論と機械学習で調べる研究室。
AboutAbout the lab
タンパク質の水和を、理論と機械学習で読む。
数理物理学分野
研究キーワードには、
電子顕微鏡や
学部では、
Key terms
- 水和
- 水分子が
溶けている 物質の まわりに 集まり、 取り巻く こと - マニフォールドラーニング
- 多数の
数値で 表された データの 背後に ある、 少ない 変数で 表せる 構造を 見つける 機械学習の 手法 - コヒーレントX線回折イメージング
- そろった
波の X線を 試料に 当て、 回折パターンから 像を 得る 方法
NewsLab news
ナノCTと
機械学習で 燃料電池の ガス拡散を 10秒ほどで 予測する 成果を 発表 深層学習で
タンパク質周辺の 水和解析を 実用速度に する 成果を 発表 学生が、
応用物理学コース 卒業研修発表賞を 受賞 吉留准教授が、
CBI学会2024年大会で ポスター賞を 受賞 学生が、
応用物理学コース 卒業研修発表賞を 受賞
ResearchResearch themes
タンパク質の
*Illustrative imageタンパク質周辺の水和を深層学習で解析
深層学習を
*Illustrative image燃料電池のガス拡散を機械学習で予測
ナノテラスの
MembersFaculty
- Associate Professor吉留 崇
VoicesStudent voices
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The information on this page is compiled by the LabLog team from the lab's public information and interviews. For corrections or removal requests, please contact LabLog, not the lab.
Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “HydrationLayer2New” Babusingh252 at en.wikipedia / Public domain (cropped)
- タンパク質周辺の
水和を 深層学習で 解析: “Water-3D-balls-A” Ben Mills / Public domain (cropped) - 燃料電池の
ガス拡散を 機械学習で 予測: “Hydrogen fuel cell schematic” Emma Ambrogi / CC BY-SA 4.0 (cropped) - Related lab (画像情報通信工学
[大町・宮崎] 研究室): “Image processing post otsus algorithm” Pikez33 / CC BY 1.0 (cropped) - Related lab (腫瘍医工学
[小玉] 研究室): “Scanning electron microscope - UFCH JH (2020) 04” Tadeáš Bednarz / CC BY-SA 4.0 (cropped) - Related lab (光量子情報通信
[松田] 研究室): “Optical Table with doubled Nd-YAG Laser” Giorgio Brida from Torino, Italy / CC BY 2.0 (cropped) - Related lab (ヒューマンインターフェース
[(大町)・能勢] 研究室): “Neumann U87 Condenser Microphone - Studio A, In Your Ear Studios” Will Fisher from Richmond, VA, United States / CC BY-SA 2.0 (cropped)
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