Prof. Nakai will give an invited talk and our group members will give 4 poster presentations at 10th Triennial Conference on Molecular Quantum Mechanics (MQM2025).

Date: May 23-28, 2025
Place: Kyoto, Japan

Contents

• 〇Hiromi Nakai, ”Professor Hiroshi Nakatsuji:In Pursuit of Quantum Chemical Principles”(Invited Talk).
• 〇Chinami Takashima, Hiromi Nakai, ”Parallel computing of two-electron integrals in two-component relativistic theory”(Poster).
• 〇Rei Oshima, Hiromi Nakai, ”Development of direct minimization method for SCF solution combining Givens rotation and error back propagation”(Poster).
• 〇Ryusei Nishimura, Takeshi Yoshikawa, Ken Sakata, Hiromi Nakai, ”Geometry Optimization of Non-Local Excited States Using Divide-and-Conquer Method”(Poster).
• 〇Miyu Onishi, Ayako Nakata, Hiromi Nakai, ”Analysis of supported metal nanoparticles using first principles calculation”(Poster).

Prof. Nakai and Asst. Prof. Takashima will give invited talks and our group members will give 2 poster presentations at the 11th Conference of the Asia-Pacific Association of Theoretical and Computational Chemists(APATCC11)

Date: April 21-25, 2025
Place: Kobe International Conference Center, Hyogo, Japan

Contents

• 〇Hiromi Nakai，”Recent Advances of Electronic Structure Theory for Large Complex Systems”(Plenary Talk).
• 〇Chinami Takashima and Hiromi Nakai，”Development of Accurate and Efficient Relativistic Methods Based on Spin-free Infinite-order Two-Component Hamiltonian”(Invited Talk).
• 〇Rei Oshima and Hiromi Nakai，”Direct minimization method for SCF solution using Givens rotation and error backpropagation”(poster).
• 〇Ryusei Nishimura, Takeshi Yoshikawa, Ken Sakata, and Hiromi Nakai，”Divide-and-Conquer-Based Geometry Optimization of Non-Local Excited States”(poster).

The 37th Quantum Chemistry Seminar will be held at Waseda University.

Prof. Debashree Ghosh will give a lecture.

Date and Time: Thursday, May 1, 2025, 16:00-17:40
Venue: Waseda University, Nishi-Waseda Campus, Building 62W, Large meeting Room A

Presentation Title:“Understanding strongly correlated systems – from variational to machine learning approaches”