Articles liés à Exploration on Quantum Chemical Potential Energy Surfaces:...

Exploration on Quantum Chemical Potential Energy Surfaces: Towards the Discovery of New Chemistry - Couverture rigide

Ohno, Koichi; Satoh, Hiroko

 
9781839164903: Exploration on Quantum Chemical Potential Energy Surfaces: Towards the Discovery of New Chemistry

Synopsis

Providing several examples, this book describes fundamental methods and techniques specific for efficient exploration on the potential energy surface by quantum chemical calculations.

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À propos des auteurs

Koichi Ohno was born in 1945 at Hokkaido in Japan. He graduated from the University of Tokyo in 1968, and he obtained the degree of Doctor of Science in 1973. For 1975-1977 he was a Ramsay memorial fellow in UK. He became an academic staff of the University of Tokyo, as Research associate (1972-1980), Associate professor (1980-1989), and Professor (1989-1994). Then, he moved to the Department of Chemistry, Faculty of Science, Tohoku University. After he retired from Tohoku University, he became a Fellow at Toyota Physical and Chemical Research Institute for 2009-2013. From 2013, he has been the Director at Institute for Quantum Chemical Exploration.



Hiroko Satoh received Ph.D. degree (chemistry) from Ochanomizu University in 1996. The title of the Ph.D. thesis is "Study on Computer-aided Prediction of Organic Chemical Reactions". She was a post-doctoral fellow at natural product total synthesis laboratory at RIKEN Institute in 1996-1998 and conducted her project on data-driven chemistry under a PRESTO program of Japan Science Technology Agency (JST) in 1998-2001. She was appointed as assistant professor in 2000 and promoted to associate professor in 2002 at National Institute of Informatics (NII), Tokyo, Japan. In 2015 she moved to University of Zurich and was concurrently appointed as associate professor at Research Organization of Information and Systems (ROIS), Tokyo Japan. Her research interests cover a broad range of development and applications of computational and data-driven chemistry.

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