Preface: Special Issue on Molecular Cybernetics: Theory and Practice Toward Chemical AI
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00354-024-00264-3.pdf
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1. Azuma, S., Takakura, D., Ariizumi, R., Asai, T.: Networks of classical conditioning gates and their learning. New Gen. Comput. (2024)
2. Yu, S., Xu, W., Lee, J., Isokawa, T.: A cellular automaton approach for efficient computing on surface chemical reaction network. New Gen. Comput. (2024)
3. Komiya, K., Noda, C., Yamamura, M.: Characterization of cascaded DNA generation reaction for amplifying DNA signal. New Gen. Comput. (2024)
4. Kitada, S., Kotsuka, T., Hori, Y.: Analysis of Signal Distortion in Molecular Communication Channels Using Frequency Response. New Gen. Comput. (2024)
5. Enomoto, T., Ohtake, Senda, N., Kiga, D.: Correlation between in vitro and in vivo gene-expression strengths is dependent on bottleneck process. New Gen. Comput. (2024)
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