Packwood Daniel ＰａｃｋｗｏｏｄＤａｎｉｅｌ

… Alternative Names

PACKWOOD Daniel パックウッドダニエル

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Researcher Number	40640884
Affiliation (Current)	2025: 京都大学, 高等研究院, 准教授
Affiliation (based on the past Project Information) *help	2022 – 2024: 京都大学, 高等研究院, 准教授 2017 – 2023: 京都大学, 高等研究院, 講師 2016: 京都大学, 物質－細胞統合システム拠点, 講師 2014 – 2015: 東北大学, 原子分子材料科学高等研究機構, 助教
Review Section/Research Field	Principal Investigator Science and Engineering / Basic Section 13020:Semiconductors, optical properties of condensed matter and atomic physics-related / Basic Section 32020:Functional solid state chemistry-related / Medium-sized Section 44:Biology at cellular to organismal levels, and related fields / Basic Section 29020:Thin film/surface and interfacial physical properties-related / Biological physics/Chemical physics/Soft matter physics Except Principal Investigator Medium-sized Section 52:General internal medicine and related fields / Medium-sized Section 43:Biology at molecular to cellular levels, and related fields / Broad Section K / Medium-sized Section 37:Biomolecular chemistry and related fields
Keywords	Principal Investigator Machine learning / 機械学習 / 分子自己組織化 / ベイズ最適化 / First-principles / 表面 / 第一原理計算 / surface / 有機薄膜 / 密度汎関数理論 … More / Graph neural network / Data / Excitonic coupling / Exciton diffusion / Organic photovoltatics / 計算材料化学 / 材料設計 / 量子アニーリング / phthalocyanine / porphryin / quantum annealing / simulation / self-assembly / Quantum Monte Carlo / Molecule / Surface / Molecular / Genetic algorthm / First-princples / Adsorption / Monte Carlo / Self-assembly / Quantum annealing / 再生医療 / 幹細胞分化増殖 / 材料情報 / Data-driven / DFT / Screening / Cardiomyocite / Stem cell / small molecule / statistics / cardiomyocite / iPS / descriptors / regression / machine learning / data / cardiomyocyte / stem cell / ベイズ機械学習 / 二次元磁気性 / 二次元磁性 / 材料探索・バーチャルスクリーニング / 非対称金属錯体 / 第一原理構造予測 / 分子薄膜 / 磁気性 / 進化アルゴリズム / 構造予測 / 薄膜構造解明 / 実験・理論・情報の融合 / 構造解明 / 最適化 / 結晶性 / 電子線回析シミュレーション / 低速電子線解析 / 薄膜構造の解明 / 教師なし機械学習 / 低速電子線回折シミュレーション / 走査トンネル顕微鏡 / 低速電子線回折 / 複合材料 / ナノ材料 / 統計数学 / 情報基礎 / 化学物理 / machine leanring / Bayesian optimisation / first-principles / molecular self-assembly / マテリアルインフォマティクス / 有機エレクトロニクス / グラフェンナノリボン / 表面科学 / Random walk / Stochastic model / Lithium ion battery / Organic semiconductor / Organic crystal / Charge transport / Information reduction / Cheeger constant / Bayesian networks / Lithium ion batteries / Metal oxides / Organic semiconductors … More Except Principal Investigator ゲノムバーコード / 心臓弁膜症 / マクロファージ / 心内膜造血 / Machine learning / Chemical probe / RNA-protein interactions / Direct RNA sequencing / Nanopore / バイオインフォマティクス / ケミカルプローブ / RNA-たんぱく質相互作用 / リボソーム / ナノポアシークエンシング / RNA modifications / RNA protein interactions / Informatics / Chemical probes / Nanopore technology / RNA Structures / Transcriptomics / 連携機能 / ガスセンサ / 半導体 / 錯体化学 / 刺激応答性 / 適応機能 / ナノ空間化学 / 複合材料 / 界面化学 / 多孔性配位高分子 / 生理活性小分子 / 自己集合 Less

心内膜造血の証明
- Principal Investigator
  
  中野敦
- Project Period (FY)
  2024 – 2026
- Research Category
  
  Grant-in-Aid for Challenging Research (Pioneering)
- Review Section
  
  Medium-sized Section 52:General internal medicine and related fields
- Research Institution
  Jikei University School of Medicine
データ科学・計算機化学の融合による有機光電変換材料の創生プラットフォームPrincipal Investigator
- Principal Investigator
  
  Packwood Daniel
- Project Period (FY)
  2023 – 2025
- Research Category
  
  Grant-in-Aid for JSPS Fellows
- Review Section
  
  Basic Section 13020:Semiconductors, optical properties of condensed matter and atomic physics-related
- Research Institution
  Kyoto University
Chemistry of Synergistic Interface Space for Trace Detection/Separation/Conversion of Toxic and Harmful Substances
- Principal Investigator
  
  北川進
- Project Period (FY)
  2022 – 2026
- Research Category
  
  Grant-in-Aid for Scientific Research (S)
- Review Section
  
  Broad Section K
- Research Institution
  Kyoto University
An integrated approach for mapping RNA protein interactions in the ribosome
- Principal Investigator
  
  NAMASIVAYAM Ganesh Pandian
- Project Period (FY)
  2022 – 2023
- Research Category
  
  Grant-in-Aid for Challenging Research (Exploratory)
- Review Section
  
  Medium-sized Section 43:Biology at molecular to cellular levels, and related fields
- Research Institution
  Kyoto University
Quantum Annealing for Functional Molecular AssembliesPrincipal Investigator
- Principal Investigator
  
  Packwood Daniel
- Project Period (FY)
  2021 – 2023
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 32020:Functional solid state chemistry-related
- Research Institution
  Kyoto University
Stem cell differentiation platform utilizing Bayesian machine learningPrincipal Investigator
- Principal Investigator
  
  Packwood Daniel
- Project Period (FY)
  2020 – 2024
- Research Category
  
  Fund for the Promotion of Joint International Research (Fostering Joint International Research (B))
- Review Section
  
  Medium-sized Section 44:Biology at cellular to organismal levels, and related fields
- Research Institution
  Kyoto University
2D Magnetism Based Upon Asymmetric Coordination Complexes - Screening via First-Principles Structure PredictionPrincipal Investigator
- Principal Investigator
  
  Packwood Daniel
- Project Period (FY)
  2019 – 2020
- Research Category
  
  Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
- Review Section
  
  Science and Engineering
- Research Institution
  Kyoto University
Exploration of Self-Assembling Bioactive Small Molecules
- Principal Investigator
  
  Uesugi Motonari
- Project Period (FY)
  2019 – 2021
- Research Category
  
  Grant-in-Aid for Scientific Research (A)
- Review Section
  
  Medium-sized Section 37:Biomolecular chemistry and related fields
- Research Institution
  Kyoto University
Creation of an organic thin film deposition system by integration of information sciencePrincipal Investigator
- Principal Investigator
  
  Packwood Daniel
- Project Period (FY)
  2018 – 2019
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 29020:Thin film/surface and interfacial physical properties-related
- Research Institution
  Kyoto University
「ベイズ最適化を活用した」分子自己組織化によるナノ構造制御Principal Investigator
- Principal Investigator
  
  Packwood Daniel
- Project Period (FY)
  2016 – 2017
- Research Category
  
  Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
- Review Section
  
  Science and Engineering
- Research Institution
  Kyoto University
Charge transport inside of organic crystals and lithium-containing metal oxidesPrincipal Investigator
- Principal Investigator
  
  Packwood Daniel
- Project Period (FY)
  2014 – 2015
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Biological physics/Chemical physics/Soft matter physics
- Research Institution
  Tohoku University

All 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 Other

All Journal Article Presentation Book

[Book] Cell-Inspired Materials and Engineering: Machine Learning and Monte Carlo Methods for Surface-Assisted Molecular Self-Assembly2021
- Author(s)
  Daniel Packwood
- Publisher
  Springer
- Data Source
  KAKENHI-PROJECT-19H00922
[Book] Cell-Inspired Materials and Engineering2021
- Author(s)
  D. O. Wang and D. M. Packwood (editors)
- Total Pages
  257
- Publisher
  Springer
- Data Source
  KAKENHI-PROJECT-20KK0160
[Book] Bayesian Optimization for Materials Science2017
- Author(s)
  Daniel Packwood
- Total Pages
  50
- Publisher
  Springer
- ISBN
  9789811067815
- Data Source
  KAKENHI-PUBLICLY-16H00879
[Journal Article] An Intelligent, User‐Inclusive Pipeline for Organic Semiconductor Design2023
- Author(s)
  Packwood Daniel M, Kaneko Yu, Ikeda Daiji, Ohno Mitsuru
- Journal Title
  
  Advanced Theory and Simulations
  
  Volume: 6 Issue: 8 Pages: 2300159-2300171
- DOI
  10.1002/adts.202300159
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K05003
[Journal Article] Exciton diffusion in amorphous organic semiconductors: Reducing simulation overheads with machine learning2023
- Author(s)
  Wechwithayakhlung Chayanit, Weal Geoffrey R, Kaneko Yu, Hume Paul A, Hodgkiss Justin M, Packwood Daniel M.
- Journal Title
  
  The Journal of Chemical Physics
  
  Volume: 158 Issue: 20 Pages: 204106-204121
- DOI
  10.1063/5.0144573
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K05003
[Journal Article] Bi-Functional On-Surface Molecular Assemblies Predicted From a Multifaceted Computational Approach2022
- Author(s)
  Daniel M. Packwood
- Journal Title
  
  Advanced Physics Research
  
  Volume: 1 Issue: 1 Pages: 2200019-2200019
- DOI
  10.1002/apxr.202200019
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K05003
[Journal Article] Magnetic on-surface assemblies predicted from a pious computational method2022
- Author(s)
  Daniel Packwood
- Journal Title
  
  arXiv
  
  Volume: arXiv:2204.09823 Pages: 1-25
- Open Access
- Data Source
  KAKENHI-PROJECT-21K05003
[Journal Article] Disorder-robust bands from anisotropic orbitals in a coordination polymer semiconductor2020
- Author(s)
  Daniel M. Packwood and Pichaya Pattanasattayavong
- Journal Title
  
  Journal of Physics Condensed Matter
  
  Volume: 32 Issue: 27 Pages: 275701-275701
- DOI
  10.1088/1361-648x/ab7d65
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PUBLICLY-19H04574
[Journal Article] Exploring the configuration spaces of surface materials using time-dependent diffraction patterns and unsupervised learning2020
- Author(s)
  Daniel M. Packwood
- Journal Title
  
  Scientific Reports
  
  Volume: 10 Issue: 1 Pages: 5868-5879
- DOI
  10.1038/s41598-020-62782-6
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K14126
[Journal Article] Discovery of Self‐Assembling Small Molecules as Vaccine Adjuvants2020
- Author(s)
  Jin Shuyu、Vu Hue Thi、Hioki Kou、Noda Naotaka、Yoshida Hiroki、Shimane Toru、Ishizuka Shigenari、Takashima Ippei、Mizuhata Yoshiyuki、Beverly Pe Kathleen、Ogawa Tetsuya、Nishimura Naoya、Packwood Daniel、Tokitoh Norihiro、Kurata Hiroki、Yamasaki Sho、Ishii Ken J.、Uesugi Motonari
- Journal Title
  
  Angewandte Chemie International Edition
  
  Volume: 60 Issue: 2 Pages: 961-969
- DOI
  10.1002/anie.202011604
- NAID
  120006958092
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K20447, KAKENHI-PROJECT-20H00505, KAKENHI-PROJECT-18H01963, KAKENHI-PLANNED-17H06408, KAKENHI-PROJECT-19H05635, KAKENHI-PROJECT-19H00922, KAKENHI-PROJECT-19K23816
[Journal Article] Heavy Metal Effects on the Photovoltaic Properties of Metallocorroles in Dye-Sensitized Solar Cells2020
- Author(s)
  Tomohiro Higashino, Yuma Kurumisawa, Abraham B. Alemayehu, Rune F. Einrem, Debashis Sahu, Daniel Packwood, Kosaku Kato, Akira Yamakata, Abhik Ghosh and Hiroshi Imahori
- Journal Title
  
  ACS Applied Energy Materials
  
  Volume: 3 Issue: 12 Pages: 12460-12467
- DOI
  10.1021/acsaem.0c02427
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PUBLICLY-19H04708, KAKENHI-PUBLICLY-19H04574, KAKENHI-PROJECT-18H03898, KAKENHI-PLANNED-20H05832, KAKENHI-PLANNED-20H05838, KAKENHI-PLANNED-20H05841, KAKENHI-PROJECT-19H02820
[Journal Article] Kernelized machine learning for a molecular self-assembly model2019
- Author(s)
  Daniel M. Packwood
- Journal Title
  
  Bulletin of the Japan Society for Coordination Chemistry
  
  Volume: 74 Pages: 62-62
- Data Source
  KAKENHI-PUBLICLY-19H04574
[Journal Article] Substrate-molecule decoupling induced by self-assembly - implications for graphene nanoribbon fabrication2018
- Author(s)
  Xinqian Li and Daniel Packwood
- Journal Title
  
  AIP Advances
  
  Volume: 8 Issue: 4 Pages: 045117-045123
- DOI
  10.1063/1.5025101
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PUBLICLY-16H00879
[Journal Article] Chemical and entropic control on the molecular self-assembly process2017
- Author(s)
  Daniel Packwood, Patrick Han, Taro Hitosugi
- Journal Title
  
  Nature Communications
  
  Volume: 8 Issue: 1 Pages: 144643-14451
- DOI
  10.1038/ncomms14463
- NAID
  120005971845
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PUBLICLY-16H00879, KAKENHI-PROJECT-26246022
[Journal Article] Rapid prediction of molecule arrangements on metal surfaces via Bayesian optimization2017
- Author(s)
  Daniel Packwood, Taro Hitosugi
- Journal Title
  
  Applied Physics Express
  
  Volume: 10 Pages: 065502-065506
- Peer Reviewed
- Data Source
  KAKENHI-PUBLICLY-16H00879
[Journal Article] Charge transport in organic crystals: Critical role of correlated fluctuations unveiled by analysis of Feynman diagrams2015
- Author(s)
  Packwood, D. M.; Oniwa, K.; Jin, T.; Asao, N.
- Journal Title
  
  J. Chem. Phys.
  
  Volume: 142 Issue: 14 Pages: 144503-1
- DOI
  10.1063/1.4916385
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-25286012, KAKENHI-PROJECT-26800220
[Presentation] Data science for materials and chemical biology2024
- Author(s)
  Daniel Packwood
- Organizer
  The 9th Symposium on Theoretical and Applied Mechanics
- Invited
- Data Source
  KAKENHI-PROJECT-20KK0160
[Presentation] In-silico prediction of functional on-surface supramolecular materials2023
- Author(s)
  Daniel M. Packwood
- Organizer
  AMN10 - 10th International Conference on Advanced Materials and Nanotechnology
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K05003
[Presentation] Machine learning for functional molecular materials and supramolecular assemblies2023
- Author(s)
  Daniel Packwood
- Organizer
  7th Forum of Materials Genome Engineering (ForMGE)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K05003
[Presentation] Designing bioactive materials with small data2023
- Author(s)
  Daniel Packwood
- Organizer
  The 1st MacDiarmid Institute-Kyoto University Workshop on Integrated Data-Material Sciences
- Data Source
  KAKENHI-PROJECT-20KK0160
[Presentation] Machine learning for materials chemistry and chemical biology2023
- Author(s)
  Daniel Packwood
- Organizer
  The 10th ICIAM (Internal Congress of Industrial and Applied Mathematics)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K05003
[Presentation] Machine learning for materials chemistry and chemical biology2023
- Author(s)
  Daniel Packwood
- Organizer
  10th ICIAM (International Congress for Industrial and Applied Mathematics)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20KK0160
[Presentation] Data-Driven Approaches for Surface Materials and Beyond2022
- Author(s)
  Daniel Packwood
- Organizer
  Perspectives on Artificial Intelligence and Machine Learning in Materials Science, IMI Joint Usage Research Project, Institute for Mathematics for Industry, Kyushu University
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K05003
[Presentation] Data-driven approaches for surface materials and beyond2022
- Author(s)
  Daniel Packwood
- Organizer
  IMI Workshop for the Join Research Projects in Kyushu University: Perspectives on Artificial Intelligence and Machine Learning in Materials Science
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H00922
[Presentation] データ科学・機械学習を活用する機能性分子の設計手法2022
- Author(s)
  Daniel M. Packwood
- Organizer
  データ科学・機械学習を活用する機能性分子の設計研究事例（ダイキン工業主催　Webセミナー）
- Invited
- Data Source
  KAKENHI-PROJECT-20KK0160
[Presentation] Structure prediction and control for functional surface materials2020
- Author(s)
  Daniel M. Packwood
- Organizer
  Applied Math for Energy: Future Directions (workshop at I2CNER, Kyushu University)
- Invited
- Data Source
  KAKENHI-PUBLICLY-19H04574
[Presentation] Informatics for self-assembled materials2020
- Author(s)
  Daniel M. Packwood
- Organizer
  First Max Planck-VISTEC Symposium on Materials Science
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K14126
[Presentation] 表面上の分子集合体のための機械学習2020
- Author(s)
  Daniel M. Packwood
- Organizer
  近畿化学協会コンピューター化学部会　第107回例会
- Invited
- Data Source
  KAKENHI-PROJECT-18K14126
[Presentation] Machine learning for surface-assisted self-assembly2020
- Author(s)
  Daniel M. Packwood
- Organizer
  NANOMAT2019 (CNRS, France)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K14126
[Presentation] Structure prediction and control for functional surface materials2020
- Author(s)
  Daniel M. Packwood
- Organizer
  Applied Math for Energy: Future Directions (workshop at I2CNER, Kyushu University)
- Invited
- Data Source
  KAKENHI-PROJECT-18K14126
[Presentation] 表面上の分子集合体のための機械学習2020
- Author(s)
  Daniel M. Packwood
- Organizer
  近畿化学協会コンピューター化学部会　第107回例会
- Invited
- Data Source
  KAKENHI-PUBLICLY-19H04574
[Presentation] Low-energy electron diffraction from organic monolayers2019
- Author(s)
  Daniel Packwood
- Organizer
  SPIRITS International Symposium 2019 - Regulation of cell fate and disease treatment
- Invited
- Data Source
  KAKENHI-PROJECT-18K14126
[Presentation] Machine learning for nanomaterials assembly on surfaces2018
- Author(s)
  Daniel Packwood
- Organizer
  Interfacing Machine Learning and Experimental Methods for Surface Structures
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K14126
[Presentation] Machine learning for molecular self-assembly on surfaces2017
- Author(s)
  Daniel Packwood
- Organizer
  International Workshop on Machine Learning for Materials Science (Aalto University, Finland)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PUBLICLY-16H00879
[Presentation] 表面上の分子自己組織化のための機械学習とモンテカルロ法2017
- Author(s)
  Daniel Packwood
- Organizer
  ものづくり企業に役に立つ応用数学手法の研究会（主催：日本応用数理学会）
- Invited
- Data Source
  KAKENHI-PUBLICLY-16H00879
[Presentation] 「ベイズ最適化を活用した」分子自己組織化によるナノ構造制御2016
- Author(s)
  Daniel Packwood
- Organizer
  新学術領域「ナノ構造情報」第5全体会議
- Place of Presentation
  京都
- Invited
- Data Source
  KAKENHI-PUBLICLY-16H00879
[Presentation] Bayesian optimization for nanostructure prediction2016
- Author(s)
  Daniel Packwood
- Organizer
  COMBO Users Meeting
- Place of Presentation
  東京
- Invited
- Data Source
  KAKENHI-PUBLICLY-16H00879
[Presentation] Charge Transport Inside of Organic Crystals: The Crucial Role of Correlated Fluctuations
- Author(s)
  Daniel Packwood
- Organizer
  Mathematical Challenge to a New Phase of Materials Science
- Place of Presentation
  Research Institute of Mathematical Sciences, Kyoto University(Kyoto)
- Year and Date
  2014-08-04 – 2014-08-08
- Data Source
  KAKENHI-PROJECT-26800220
[Presentation] Charge Transport Inside of Organic Crystals: The Crucial Role of Correlated Fluctuations
- Author(s)
  Daniel Packwood
- Organizer
  AIMR Tohoku University-NCTU Joint Workshop on Fusion of Mathematics, Nano-Materials, and Nano-Devices
- Place of Presentation
  National Chiao Tung University, Hsinchu, Taiwan
- Year and Date
  2014-09-21 – 2014-09-25
- Data Source
  KAKENHI-PROJECT-26800220

1. Uesugi Motonari (10402926)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
2. NAMASIVAYAM Ganesh Pandian (20625446)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
3. 安井孝介 (10877640)

# of Collaborated Projects: 1 results

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4. ABDALKADER Rodi (20839964)

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5. 山崎晶 (40312946)

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6. 倉田博基 (50186491)

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7. 柴祐司 (70613503)

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8. 北川進 (20140303)

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9. 大竹研一 (20834823)

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10. 杉本邦久 (00512807)

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11. 中野敦 (10504368)

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12. 劉孟佳 (50826922)

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13. WEAL GEOFFREY

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14. 時任宣博

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15. 浅尾直樹

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16. 山方啓

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Packwood Daniel Ｐａｃｋｗｏｏｄ Ｄａｎｉｅｌ

PACKWOOD Daniel パックウッド ダニエル

Research Projects

Research Products

Co-Researchers

心内膜造血の証明

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

データ科学・計算機化学の融合による有機光電変換材料の創生プラットフォームPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Chemistry of Synergistic Interface Space for Trace Detection/Separation/Conversion of Toxic and Harmful Substances

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

An integrated approach for mapping RNA protein interactions in the ribosome

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Quantum Annealing for Functional Molecular AssembliesPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Stem cell differentiation platform utilizing Bayesian machine learningPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

2D Magnetism Based Upon Asymmetric Coordination Complexes - Screening via First-Principles Structure PredictionPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Exploration of Self-Assembling Bioactive Small Molecules

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Creation of an organic thin film deposition system by integration of information sciencePrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

「ベイズ最適化を活用した」分子自己組織化による ナノ構造制御Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Charge transport inside of organic crystals and lithium-containing metal oxidesPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

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[Book] Cell-Inspired Materials and Engineering: Machine Learning and Monte Carlo Methods for Surface-Assisted Molecular Self-Assembly2021

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[Book] Cell-Inspired Materials and Engineering2021

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Packwood Daniel ＰａｃｋｗｏｏｄＤａｎｉｅｌ

PACKWOOD Daniel パックウッドダニエル

「ベイズ最適化を活用した」分子自己組織化によるナノ構造制御Principal Investigator