About the Research
Research Theme
Optimization Methods in Computational Chemistry and Chemoinformatics
Keyword
Research Outline
I have investigated the design and analysis of efficient algorithms for optimization problems on discrete structures such as graphs and networks. In particular, I have conducted theoretical research focusing on matroids and submodular functions, which are known as structures that commonly appear in various efficiently solvable combinatorial optimization problems. Since chemical reactions are phenomena described by changes of chemical bonds between atoms in molecules, I expect that there are many places in which discrete optimization techniques can contribute to the design and discovery of chemical reactions.
Continuous optimization problems which do not enjoy convexity are hard to solve in general as they admit locally optimal solutions which are not globally optimal. Search methods for chemical reaction routes such as GRRM actually enumerate the locally optimal and saddle points of the potential energy surface. I have been trying to extend the methods there to more general setting of nonconvex optimization.
Representative Research Achievements
- Selecting Molecules with Diverse Structures and Properties by Maximizing Submodular Functions of Descriptors Learned with Graph Neural Networks
Tomohiro Nakamura, Shinsaku Sakaue, Kaito Fujii, Yu Harabuchi, Satoshi Maeda, Satoru Iwata. Scientific Reports, 2022, 12: 1124.
DOI: 10.1038/s41598-022-04967-9 - A Weighted Linear Matroid Parity Algorithm
Satoru Iwata, Yusuke Kobayashi. SIAM J. Comput., 2022, 51 (2), 238-280.
DOI: 10.1137/17M1141709 - Index Reduction for Differential-Algebraic Equations with Mixed Matrices,
Satoru Iwata, Taihei Oki, Mizuyo Takamatsu, J. ACM, 2019, 66 (5), 1-34.
DOI: 10.1145/3341499 - Computing the Signed Distance Between Overlapping Ellipsoids
Satoru Iwata, Yuji Nakatsukasa, Akiko Takeda. SIAM J. Optim., 2015, 25(4), 2359-2384.
DOI: 10.1137/140979654 - A Combinatorial Strongly Polynomial Algorithm for Minimizing Submodular Functions
Satoru Iwata, Lisa Fleischer, Satoru Fujishige. J. ACM, 2001, 48(4), 761-777.
DOI: 10.1145/502090.502096
Publications
2024
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Exact Solution for Minimization of Root Mean Square Deviation with G-RMSD to Determine Molecular Similarity
, S. Iwata, H. Satoh, Bulletin of the Chemical Society of Japan, 2024, 97,
DOI: 10.1093/bulcsj/uoae037
2023
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Finding Maximum Edge-Disjoint Paths Between Multiple Terminals
, Y. Yokoi, Siam Journal on Computing, 2023, 52(5), 1230-1268
DOI: 10.1137/22m1494804
2022
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Selecting Molecules with Diverse Structures and Properties by Maximizing Submodular Functions of Descriptors Learned with Graph Neural Networks
, S. Sakaue, K. Fujii, Y. Harabuchi, S. Maeda, S. Iwata, Scientific Reports, 2022, 12,
DOI: 10.1038/s41598-022-04967-9