A theoretical study of CO adsorption on gold by Hückel theory and density functional theory calculations. - Keju Sun; Masanori Kohyama; Shingo Tanaka; Seiji Takeda (J. Comput. Chem., 2011)

Implicit Context Awareness by Face Recognition. - Seiji Takeda; Tsutomu Terada; Masahiko Tsukamoto (J. Mobile Multimedia, 2012)

On achieving dependability for wearable computing by device bypassing. - Tsutomu Terada; Seiji Takeda; Masahiko Tsukamoto; Yutaka Yanagisawa; Yasue Kishino; Takayuki Suyama (AH, 2014)

Distinction of Intrinsic and Extrinsic Stress in an Exercise Game by Combining Multiple Physiological Indices. - Yoshimasa Ohmoto; Seiji Takeda; Toyoaki Nishida (VS-GAMES, 2015)

Photonic Reservoir Computing Based on Laser Dynamics with External Feedback. - Seiji Takeda; Daiju Nakano; Toshiyuki Yamane; Gouhei Tanaka; Ryosho Nakane; Akira Hirose 001; Shigeru Nakagawa (ICONIP (1), 2016)

Exploiting Heterogeneous Units for Reservoir Computing with Simple Architecture. - Gouhei Tanaka; Ryosho Nakane; Toshiyuki Yamane; Daiju Nakano; Seiji Takeda; Shigeru Nakagawa; Akira Hirose 001 (ICONIP (1), 2016)

Dynamics of Reservoir Computing at the Edge of Stability. - Toshiyuki Yamane; Seiji Takeda; Daiju Nakano; Gouhei Tanaka; Ryosho Nakane; Shigeru Nakagawa; Akira Hirose 001 (ICONIP (1), 2016)

Complex-Valued Neural Networks for Wave-Based Realization of Reservoir Computing. - Akira Hirose 001; Seiji Takeda; Toshiyuki Yamane; Daiju Nakano; Shigeru Nakagawa; Ryosho Nakane; Gouhei Tanaka (ICONIP (4), 2017)

Waveform Classification by Memristive Reservoir Computing. - Gouhei Tanaka; Ryosho Nakane; Toshiyuki Yamane; Seiji Takeda; Daiju Nakano; Shigeru Nakagawa; Akira Hirose 001 (ICONIP (4), 2017)

Simulation Study of Physical Reservoir Computing by Nonlinear Deterministic Time Series Analysis. - Toshiyuki Yamane; Seiji Takeda; Daiju Nakano; Gouhei Tanaka; Ryosho Nakane; Akira Hirose 001; Shigeru Nakagawa (ICONIP (1), 2017)

Effect of Visual Feedback Caused by Changing Mental States of the Avatar Based on the Operator's Mental States Using Physiological Indices. - Yoshimasa Ohmoto; Seiji Takeda; Toyoaki Nishida (IVA, 2017)

Proposal of Carrier-Wave Reservoir Computing. - Akira Hirose 001; Gouhei Tanaka; Seiji Takeda; Toshiyuki Yamane; Hidetoshi Numata; Naoki Kanazawa; Jean Benoit Héroux; Daiju Nakano; Ryosho Nakane (ICONIP (1), 2018)

Dimensionality Reduction by Reservoir Computing and Its Application to IoT Edge Computing. - Toshiyuki Yamane; Hidetoshi Numata; Jean Benoit Héroux; Naoki Kanazawa; Seiji Takeda; Gouhei Tanaka; Ryosho Nakane; Akira Hirose 001; Daiju Nakano (ICONIP (1), 2018)

Improving Context Understanding Using Avatar's Affective Expressions Reflecting Operator's Mental States. - Yoshimasa Ohmoto; Seiji Takeda; Toyoaki Nishida (VS-GAMES, 2018)

Physical reservoir computing: Possibility to resolve the inconsistency between neuro-AI principles and its hardware. - Akira Hirose 001; Seiji Takeda; Toshiyuki Yamane; Hidetoshi Numata; Naoki Kanazawa; Jean Benoit Héroux; Daiju Nakano; Ryosho Nakane; Gouhei Tanaka (Aust. J. Intell. Inf. Process. Syst., 2019)

Recent advances in physical reservoir computing: A review. - Gouhei Tanaka; Toshiyuki Yamane; Jean Benoit Héroux; Ryosho Nakane; Naoki Kanazawa; Seiji Takeda; Hidetoshi Numata; Daiju Nakano; Akira Hirose 001 (Neural Networks, 2019)

Realizing A Composable Enterprise Microservices Fabric with AI-Accelerated Material Discovery API Services. - Rong N. Chang; Kumar Bhaskaran; Prasenjit Dey; Hsiang-Han Hsu; Seiji Takeda; Toshiyuki Hama (CLOUD, 2020)

Molecular Inverse-Design Platform for Material Industries. - Seiji Takeda; Toshiyuki Hama; Hsiang-Han Hsu; Victoria A. Piunova; Dmitry Zubarev; Daniel P. Sanders 002; Jed W. Pitera; Makoto Kogoh; Takumi Hongo; Yenwei Cheng; Wolf Bocanett; Hideaki Nakashika; et al. (KDD, 2020)

AI-driven Inverse Design System for Organic Molecules. - Seiji Takeda; Toshiyuki Hama; Hsiang-Han Hsu; Toshiyuki Yamane; Koji Masuda; Victoria A. Piunova; Dmitry Zubarev; Jed Pitera; Daniel P. Sanders 002; Daiju Nakano (CoRR, 2020)

Molecule Generation Experience: An Open Platform of Material Design for Public Users. - Seiji Takeda; Toshiyuki Hama; Hsiang-Han Hsu; Akihiro Kishimoto; Makoto Kogoh; Takumi Hongo; Kumiko Fujieda; Hideaki Nakashika; Dmitry Zubarev; Daniel P. Sanders 002; Jed W. Pitera; Junta Fuchiwaki; et al. (CoRR, 2021)

GT4SD: Generative Toolkit for Scientific Discovery. - Matteo Manica; Joris Cadow; Dimitrios Christofidellis; Ashish Dave; Jannis Born; Dean Clarke; Yves Gaetan Nana Teukam; Samuel C. Hoffman; Matthew Buchan; Vijil Chenthamarakshan; Timothy Donovan; Hsiang-Han Hsu; et al. (CoRR, 2022)

Foundation Model for Material Science. - Seiji Takeda; Akihiro Kishimoto; Lisa Hamada; Daiju Nakano; John R. Smith (AAAI, 2023)

MHG-GNN: Combination of Molecular Hypergraph Grammar with Graph Neural Network. - Akihiro Kishimoto; Hiroshi Kajino; Masataka Hirose; Junta Fuchiwaki; Indra Priyadarsini; Lisa Hamada; Hajime Shinohara; Daiju Nakano; Seiji Takeda (CoRR, 2023)

Improving Molecular Properties Prediction Through Latent Space Fusion. - Eduardo E. M. Soares; Akihiro Kishimoto; Emilio Vital Brazil; Seiji Takeda; Hiroshi Kajino; Renato Cerqueira (CoRR, 2023)

Improving Performance Prediction of Electrolyte Formulations with Transformer-based Molecular Representation Model. - Indra Priyadarsini; Vidushi Sharma; Seiji Takeda; Akihiro Kishimoto; Lisa Hamada; Hajime Shinohara (CoRR, 2024)

SELF-BART : A Transformer-based Molecular Representation Model using SELFIES. - Indra Priyadarsini; Seiji Takeda; Lisa Hamada; Emilio Vital Brazil; Eduardo E. M. Soares; Hajime Shinohara (CoRR, 2024)

LLM-Fusion: A Novel Multimodal Fusion Model for Accelerated Material Discovery. - Onur Boyar; Indra Priyadarsini; Seiji Takeda; Lisa Hamada (CoRR, 2025)