Wellcome to my homepage!
Ambitious leads to innovation. I believe that mixed integer nonlinear programming (MINLP), which is very minor mathematics among both the chemists and physicists, provides not only profound insights into the nature of our universe but also extremely powerful sets of computational methods. I hope to share my curiosity and future prospect of MINLP approach to the nature with you through this homepage.
Open source software
The effectiveness of mixed-integer nonlinear programming formalization has been clarified by my research. One of the applications is mathematical crystal chemistry, which enables us to predict crystal structures as the countable number of optimal solutions with small computations. The softwares, which implement the algorithm derived from my theory, are shared under the terms of the MIT Lisence for transparent and honest interactions with you.
Open data
Mixed-integer nonlinear programming (MINLP) is an optimization problem of real and integer variables under equality and/or inequality constraints. I believe that the MINLP formulations of physics and chemistry lead to the concepts that the nature of our universe selects all or some of the optimal solutions of the MINLP problems. For example, crystal structures are regarded as some of optimal solutions of MINLP problem which formalizes the emprical rules given by inorganic structural chemistry. I will share as many optimal solutions discovered by large-scale calculations as possible with you in this website.