From Neural Networks And Biomolecular Engineering To Bioelectronics


Download From Neural Networks And Biomolecular Engineering To Bioelectronics PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get From Neural Networks And Biomolecular Engineering To Bioelectronics book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.

Download

From Neural Networks and Biomolecular Engineering to Bioelectronics


From Neural Networks and Biomolecular Engineering to Bioelectronics

Author: C. Nicolini

language: en

Publisher: Springer Science & Business Media

Release Date: 2013-06-29


DOWNLOAD





This volume represents the fIrst of a series of proceedings of the EL.B.A. Forum on Bioelectronics, a scientifIc discipline at the frontiers of Advanced Electronics and Biotechnology. The name for these forums derives not only from the place (the Isle of Elba in Italy), where the conferences have been held every 6 months since 1991, but also from an acronym: Electronics and Biotechnology Advanced. Bioelectronics is intended as "the use of biological materials and biological architectures for information processing and sensing systems and devices down to molecular level" and focuses its attention on three major areas: I New hardware architectures borrowed from the thorough study of brain and sensory systems down to the molecular level, utilizing existing semiconductor inorganic materials (both GaAs and Si) and giga-scale integration; II Protein Engineering, especially of systems involved in electron transfer and molecular recognition, integrated with Metabolism and Chemical Engineering, to develop new biomaterials by learning basic rules of macromolecular folding and self-assembly; m Sensors, thin film and electronic devices utilizing organic compounds and biopolymers, and by implementing nanotechnology bottom up through manufacturing and characterization at the atomic level.

From Neural Networks and Biomolecular Engineering to Bioelectronics


From Neural Networks and Biomolecular Engineering to Bioelectronics

Author: C. Nicolini

language: en

Publisher: Springer

Release Date: 2013-06-01


DOWNLOAD





This volume represents the fIrst of a series of proceedings of the EL.B.A. Forum on Bioelectronics, a scientifIc discipline at the frontiers of Advanced Electronics and Biotechnology. The name for these forums derives not only from the place (the Isle of Elba in Italy), where the conferences have been held every 6 months since 1991, but also from an acronym: Electronics and Biotechnology Advanced. Bioelectronics is intended as "the use of biological materials and biological architectures for information processing and sensing systems and devices down to molecular level" and focuses its attention on three major areas: I New hardware architectures borrowed from the thorough study of brain and sensory systems down to the molecular level, utilizing existing semiconductor inorganic materials (both GaAs and Si) and giga-scale integration; II Protein Engineering, especially of systems involved in electron transfer and molecular recognition, integrated with Metabolism and Chemical Engineering, to develop new biomaterials by learning basic rules of macromolecular folding and self-assembly; m Sensors, thin film and electronic devices utilizing organic compounds and biopolymers, and by implementing nanotechnology bottom up through manufacturing and characterization at the atomic level.

Molecular Bioelectronics: The 19 Years Of Progress (Second Edition)


Molecular Bioelectronics: The 19 Years Of Progress (Second Edition)

Author: Claudio Nicolini

language: en

Publisher: World Scientific

Release Date: 2016-03-29


DOWNLOAD





Molecular bioelectronics is a field in strong evolution at the frontier of life and materials sciences. The term is utilized in a broad context to emphasize a unique blend of electronics and biotechnology which is seen as the best way to achieve many objectives of industrial and scientific relevance, including biomolecular engineering, bioelectronic devices, materials and sensors capable of optimal hardware efficiency and intelligence and molecular miniaturization.