Fellows (4th-term)

HORI, Yuta

Assistant Professor
Center for Computational Sciences
University of Tsukuba

Research fields
Theoretical chemistry, Computational chemistry, Physical chemistry
Research project
Theory-driven development of next-generation clean energy systems
Keywords
Hydrogen energy, CO2 reduction, Methane resource
Researchers Information
https://trios.tsukuba.ac.jp/researcher/0000004283
researchmap
https://researchmap.jp/yuhori

Biography

EDUCATION

PhD in Science – Graduate School of Natural Science & Technology, Kanazawa University – Mar. 2017


WORK EXPERIENCE

Invited Senior Researcher                   Jul 2024–Present
Interdisciplinary Research Center for Catalytic Chemistry,
National Institute of Advanced Industrial Science and Technology

Assistant Professor                      Apr 2019–Present
Center for Computational Sciences, University of Tsukuba

Assistant Professor                      Apr 2018–Mar 2019
Institute for Materials Chemistry and Engineering, Kyushu University

Research Associate                      Apr 2017–Mar 2018
Institute for Materials Chemistry and Engineering, Kyushu University

Research Outline

Technological innovation in clean energy systems is essential to achieve the Sustainable Development Goals (SDGs) by 2030 and realize carbon neutrality by 2050. In particular, the development of technologies that efficiently utilize CO2, methane, and hydrogen is crucial for the adoption of environmentally friendly clean energy and is a research area that would have to be implemented on a global scale to address the challenges faced by society. In this context, we aim to leverage theoretical computational chemistry to integrate insights from physics, chemistry, and biology to elucidate the mechanisms whereby living organisms and catalytic materials utilize and convert CO2, methane, and hydrogen at the atomic and molecular levels. This understanding is expected to enable the theoretical design of functional materials and catalysts that can maximize these properties. Specifically, our aim is to establish a theory-driven computational framework that integrates computational chemistry with machine learning to establish a process that would enable seamless progression from phenomenon elucidation to material design. In addition, by strengthening collaborations with domestic and international research institutions, we seek to create disruptive innovations for the development of clean energy systems. Furthermore, our focus on biological functions and catalytic materials that utilize CO2, methane, and hydrogen would allow us to optimize these computational and analytical methods to pioneer a model case of theory-based research that addresses societal issues and promotes the implementation of computational chemistry for the benefit of society.

What is my goal as a transborder researcher?

I aim to leverage the ability of my field of expertise—theoretical and computational chemistry—to actively incorporate knowledge from various disciplines, such as chemistry, physics, biology, and information science. As a researcher who transcends borders, my goal is to build new scientific principles that reach beyond traditional academic boundaries and to become a researcher with the necessary understanding and co-creating on solving societal challenges. In addition, with my research, I aspire to encourage the formation and motivate the expansion of new research communities in emerging fields.

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