【大学频道】上海大学量子与分子结构国际研究中心呈献 | 上海大学Malgo Biczysko教授

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图 | Malgo Biczysko

题   目：物理专业英语训练 (Lecture1-6)

报告人：Malgo Biczysko

单   位：上海大学

时   间：2018-11-29

地   点：上海大学

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报告提纲

• How to succesfully write and review scientific manuscripts
• How to write article,
  - Manuscript structure
  - Language, phrases
  - Points to pay attention
• How submission and per-review process work
  - How to submit, choice of reviewers
  - How to review article
• ...

个人简介

Malgorzata Biczysko is an associate professor in ICQMS at Shanghai University since 2015. She obtained her Master degree in Chemistry in 1994 and PhD in Theoretical Chemistry in 2000 from the University of Wroclaw in Poland. She has been an EU Marie Curie Networks post-doc at the Universities of Bologna, Helsinki, Coimbra, Naples and Scuola Normale Superiore in Pisa, aswell as researcher at Italian Research Council (ICCOM-CNR). In 2014 she has been awarded the Italian National Scientific Qualification as associate professor in Physical Chemistry. She is co-author of about 100 articles in ISI journals and 5 book chapters with an h-factor of 37. She is also Editor of Journal of Molecular Structures (Elsevier), Associate Editor of Astrochemistry section in Astronomy and Space Sciences and member of Editorial Board of International Journal of Quantum Chemistry (Wiley), Scientific Committee of IMAMPC, AMOC and QIF Conferences and international Ph.D. Board at Scuola Normale Superiore. MB works on the development of computational protocols for molecular structure and spectroscopy for molecular systems ranging from small molecules and complexes in the gas phase to large biomolecules, and hybrid organic-inorganic systems. Her main research interests are the development and validation of computational protocols to simulate vibrational and vibronic spectra for medium-sized non-periodic molecular systems of increasing complexity, featuring dispersion interactions, hydrogen bonding, variable local stereochemistry-conformation, and chirality. Recently she also develops integrated computational model for protein structure and function as a part of the Quantum Refinement project. These methods are exploited in Astro, Atmospheric and Biochemistry as well as Soft Smart Materials applications. 

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