Yasuhiro Ohki

Electron Transfer Networks of Transition Metal Cluster Complexes for Catalytic Applications

Research Director

Yasuhiro Ohki

Collaborator

Ken’ichi Kimijima	Associate professor Institute of Materials Structure Science High Energy Accelerator Research Organization
Yumiko Nakajima	Professor School of Materials and Chemical Technology Tokyo Institute of Technology
Yumiko Nakajima	Specific fellow Interdisciplinary Research Center for Catalytic Chemistry National Institute of Advanced Science and Technology (AIST)

Outline

Electron-transfer is one of the fundamental functions of proteins, where 1D-arrayed metal complexes are often employed for efficient charge transfer. The purpose of this research project is to break the limit of natural electron-transfer systems and to facilitate multiple-electron reactions such as the direct conversion of CO2 into hydrocarbons. In order to exceed the 1D-systems of proteins, we will develop 2D electron-transfer networks from composites of transition metal cluster complexes and solid supports with systematic arrays of metal-binding groups (PMO). Both cluster complexes and PMO will be newly designed and synthesized, and their composites will be applied as catalysts for energy-conversion reactions driven by electricity. We convince the scientific community that electron-transfer networks are useful tools for multiple-electron reactions.

Ryuji Kawano

Construction of a nanopore with de novo desgined peptides

Research Director

Ryuji Kawano

Collaborator

Kenji Usui	Associate Professor Faculty of Frontiers of Innovative Research in Science and Technology Konan University
Izuru Kawamura	Associate Professor Faculty of Engineering Yokohama National University

Outline

Nanopore measurement is a technique to measure a single molecule precisely and electrically. In this study, we construct peptide nanopores with artificially designed amino acid sequences, so-called de novo design, which will enable us to measure and control the transport of various molecules.

Nobuyuki Zettsu

Control of multi-level structures formed at solid/liquid electrochemical interface

Research Director

Nobuyuki Zettsu

Collaborator

Michihisa Koyama	Professor Research Institute of Supra-Materials Shinshu University
Yuki Nagao	Professor School of Materials Science Japan Advanced Institute of Science and Technology

Outline

We will develop new technologies to control multi-level organized atomic/molecular structures based on the energy landscape architectonics, for dynamics control of ion transport at solid/liquid electrochemical interface. To contribute the achievement of strategic goals, our team will demonstrate the followings via experimental and theoretical calculation approaches. (1) “utilization of the semi-stable phase interface by increasing the configuration entropy” brought about by multi-elements, and (2) “utilization of a dynamic continuum medium in which the periodicity of stabilized heterogeneous potential and hierarchical structure” which is provided by the characteristics of lyotropic liquid crystalline polymers with their polymolecularity and their orientational control.

Toshiharu Teranishi

Creation of unprecedented nanomaterials by precious arrangement of atomic layers and crystal phases

Research Director

Toshiharu Teranishi

Collaborator

Yasutomi Tatetsu

Senior Associate Professor Faculty of Human Health Sciences Meio University

Outline

Non-equilibrium ionic crystal and ordered alloy nanoparticles are effectively synthesized by controlling the atomic layer arrangements using ion exchange reactions and introduction of foreign elements with the aid of first-principles calculation, and used to explore the novel catalytic and optical properties. Then, the mesoscopic three-dimensional superstructures are fabricated by precisely controlling the crystal phases, aiming to discover the novel concerted functions that first emerge by assembly of crystal phases.

Takuya Matsumoto

Neuromorphic molecular network system

Research Director

Takuya Matsumoto

Collaborator

Hirofumi Tanaka	Professor Graduate School of Life Science and Systems Engineering Kyushu Institute of Technology
Shusaku Nagano	Professor College of Science Rikkyo University

Outline

Neural network information processing by aligned molecular network embedding molecular neuromorphic function cores was proposed. The precisely controlled physical properties of the core are modulated through random network and then produce manifold on the response. Letter and voice recognition will be attempted by classification using molecular neural networks.