Dr. Jianxia Zheng
E2P2L - IRL3464 CNRS - Solvay Director
Solvay (China) Co., Ltd.
3966 Jin Du Rd.,
Xin Zhuang Industrial Zone, Shanghai 201108, China
E-mail: jianxia.zheng@solvay.com
Tel.:+86 21 2350 2212
Cell: +86 150 2188 1324
Dr. Jianxia Zheng is director of Solvay's R&I laboratory in China. The E2P2 laboratory is an international joint lab dedicated to eco-innovation and sustainable chemistry. It regroups 8 partners, CNRS, Solvay, ENS Lyon, Lille University, University of Poitier, ECNU, Fudan University and ECUST. High level researchers focus on developing new environmentally benign catalytic solutions.
After her PhD in organometallics and catalysis received at the University of Rennes 1, France, she moved first to International Flavors and Fragrances Company in Hangzhou as process research engineer then at Solvay E2P2 laboratory in Shanghai as research scientist in October 2017. Jianxia has more than 8 years experience in leading international Research and Innovation projects. Her experience includes process development and scaling up, project management, and external collaborations. As an expert in catalysis and organic Chemistry, she published several peer-reviewed papers and is also the inventor of several patents.
Dr. Jeremie Zaffran
E2P2L - UMI 3464 CNRS Researcher
Solvay (China) Co., Ltd.
3966 Jin Du Rd.,
Xin Zhuang Industrial Zone, Shanghai 201108, China
E-mail: jeremie.zaffran@cnrs.fr
Tel.:
J. Zaffran got his PhD at Ecole Normale Superieure de Lyon (ENSL) in France in 2014, under the supervision of Prof. Philippe Sautet in the field of molecular modelling applied to heterogeneous catalysis. After a Postdoctoral fellowship at the Technion-Israel Institute of Technology (IIT) in Israel, followed by a research stay at ShanghaiTech University in China as a Research Assistant Professor, he joined the National French Research Center (CNRS) as a full Researcher in 2020 at Eco-Efficient Products and Process Laboratory (E2P2L), an international joint unit between the CNRS and Solvay Industries.
J. Zaffran expertise area is related to the development of predictive models combining density functional theory (DFT) calculations and machine learning (ML), in order to fast predict surface reactivity. This computational catalyst design approach is expected to provide a significant help to experimentalists, significantly speeding up the catalyst formulation process. So far, J. Zaffran is the author of more than twenty publications in peer-reviewed journals with high impact factors. His research has many fields of application, from biomass and CO2 conversion into valuables to photoactive electrodes for photoelectrochemical devices and fuel cells.
Dr. Tao Jiang
E2P2L - UMI 3464 CNRS Research Engineer
Solvay (China) Co., Ltd.
3966 Jin Du Rd.,
Xin Zhuang Industrial Zone, Shanghai 201108, China
E-mail: tao.jiang@ens-lyon.fr
Tel.:
Dr. Tao Jiang obtained his PhD from Technical University of Denmark in 2011, under the supervision of Prof. Thomas Bligaard in the field of computational simulation of heterogeneous catalysis. After that he moved to Ecole Normale Superieure de Lyon in France, then Utrecht University in the Netherlands for his first and second Postdoctoral research positions. He then joined the National French Research Center (CNRS) as an engineer in 2017 at the chemistry laboratory (UMR5182), a joint unit operated by the CNRS, ENSL and University Lyon 1. Tao will join the international joint lab E2P2L in Shanghai in 2022.
The main part of Tao Jiang's work has been on the implementing and development of algorithms, methods for molecular simulations. He has implemented and fine tuned optimization algorithms for geometry optimization. He has also developed new quantum mechanics / molecular mechanics (QM/MM) methods for aqueous reactions. Since 2019, Tao Jiang has expanded his interest in the machine learning (ML) applications in chemistry. He has been involved in machine learning projects, such as ML assisted study of DNA damage process and protein-protein interfaces, which provided better understanding of the allostery effect. He has also been developing ML models for the predictions of NMR chemical shift of phosphorus species on zeolite, HOMO and orbital coupling of guanines in DNA. Tao Jiang is the co-author of nineteen peer reviewed journal articles and book chapter. His software development works have been included in Atomic simulation environment and FlexMD, as well as being used extensively in the lab.