Updated on 2024/03/27

写真a

 
NOTO Naoki
 
Organization
Integrated Research Consortium on Chemical Sciences Assistant Professor
Graduate School
Graduate School of Science
Title
Assistant Professor

Degree 1

  1. 博士(工学) ( 2020.3   東京工業大学 ) 

 

Papers 4

  1. Machine-Learning Classification for the Prediction of Catalytic Activity of Organic Photosensitizers in the Nickel(II)-Salt-Induced Synthesis of Phenols

    Noto Naoki, Yada Akira, Yanai Takeshi, Saito Susumu

    ANGEWANDTE CHEMIE-INTERNATIONAL EDITION   Vol. 62 ( 11 ) page: e202219107   2023.2

     More details

    Language:English   Publisher:Angewandte Chemie - International Edition  

    Catalytic systems using a small amount of organic photosensitizer for the activation of an inorganic (on-demand ligand-free) nickel(II) salt represent a cost-effective method for cross-coupling reactions, while C(sp2)−O bond formation remains less developed. Herein, we report a strategy for the synthesis of phenols with a nickel(II) salt and an organic photosensitizer, which was identified via an investigation into the catalytic activity of 60 organic photosensitizers consisting of various electron donor and acceptor moieties. To examine the effect of multiple intractable parameters on the catalytic activity of photosensitizers, machine-learning (ML) models were developed, wherein we embedded descriptors representing their physical and structural properties, which were obtained from DFT calculations and RDKit, respectively. The study clarified that integrating both DFT- and RDKit-derived descriptors in ML models balances higher “precision” and “recall” across a wide range of search space relative to using only one of the two descriptor sets.

    DOI: 10.1002/anie.202219107

    Web of Science

    Scopus

    PubMed

  2. Arylamines as More Strongly Reducing Organic Photoredox Catalysts than fac-[Ir(ppy)3]

    Noto Naoki, Saito Susumu

    ACS CATALYSIS   Vol. 12 ( 24 ) page: 15400 - 15415   2022.12

  3. Arylamines as More Strongly Reducing Organic Photoredox Catalysts than fac-[Ir(ppy)3]

    Noto Naoki, Saito Susumu

    ACS CATALYSIS   Vol. 12 ( 24 ) page: 15400 - 15415   2022.12

     More details

    Publisher:ACS Catalysis  

    Organic photoredox catalysts (OPCs) have the potential to replace precious-metal-based photoredox catalysts (PMPCs). Compared with strongly oxidizing OPCs, such as the representative acridinium salts, however, the recent development of strongly reducing OPCs has been relatively sluggish. In this Perspective, strongly reducing OPCs bearing arylamine motifs are introduced. One of the advantages of OPCs is their versatility in catalyst design, which makes it easier to develop catalysts with a reducing capability superior to that of fac-[Ir(ppy)3], which is the strongest reductant among the commonly used PMPCs. Easy access to structural diversity also contributes to the rapid development of appropriate catalysts for various applications, for instance, not only simple organo-radical reactions but also precise control of polymer synthesis and properties through photocatalytic (organocatalyzed) atom-transfer radical polymerization. While light with a shorter wavelength (higher energy), such as near-ultraviolet light, is typically involved in conferring OPCs with their strongly reducing natures, strategies to develop strongly reducing catalytic systems using a longer wavelength (lower energy) of visible light, including consecutive photoinduced electron transfer, are emerging as a defacto standard. These strategies for the design of OPC systems, which allow them to achieve otherwise inaccessible reactions using visible light, are also described.

    DOI: 10.1021/acscatal.2c05034

    Web of Science

    Scopus

  4. Simple generation of various α-monofluoroalkyl radicals by organic photoredox catalysis: modular synthesis of β-monofluoroketones.

    Taniguchi R, Noto N, Tanaka S, Takahashi K, Sarkar SK, Oyama R, Abe M, Koike T, Akita M

    Chemical communications (Cambridge, England)   Vol. 57 ( 21 ) page: 2609 - 2612   2021.3

     More details

    Language:English  

    DOI: 10.1039/d0cc08060h

    PubMed

KAKENHI (Grants-in-Aid for Scientific Research) 3

  1. Transfer learning in the prediction of catalytic activity of photosensitizers

    Grant number:23K13744  2023.4 - 2025.3

    Grants-in-Aid for Scientific Research  Grant-in-Aid for Early-Career Scientists

      More details

    Authorship:Principal investigator 

    Grant amount:\4680000 ( Direct Cost: \3600000 、 Indirect Cost:\1080000 )

  2. Development of methodology for data-driven design of organic photosensitizers

    Grant number:22H05356  2022.6 - 2024.3

    Grants-in-Aid for Scientific Research  Grant-in-Aid for Transformative Research Areas (A)

      More details

    Authorship:Principal investigator 

    Grant amount:\8060000 ( Direct Cost: \6200000 、 Indirect Cost:\1860000 )

  3. Development of highly active homogeneous hydrogenation catalytic systems for synthesis of novel organic materials

    Grant number:21K20530  2021.8 - 2023.3

    Grants-in-Aid for Scientific Research  Grant-in-Aid for Research Activity Start-up

      More details

    Authorship:Principal investigator  Grant type:Competitive

    Grant amount:\3120000 ( Direct Cost: \2400000 、 Indirect Cost:\720000 )