Wei Chen mostly deals with Mathematical optimization, Engineering design process, Nanotechnology, Graphene and Chemical engineering. His primary area of study in Mathematical optimization is in the field of Probabilistic-based design optimization. Wei Chen has researched Engineering design process in several fields, including Decision support system, Robustness, Artificial intelligence, Metamodeling and Operations research.
Wei Chen works mostly in the field of Nanotechnology, limiting it down to concerns involving Supercapacitor and, occasionally, Carbon. His studies in Graphene integrate themes in fields like Inorganic chemistry, Nanoparticle, Quantum dot, Catalysis and Carbon nanotube. Wei Chen focuses mostly in the field of Chemical engineering, narrowing it down to topics relating to Doping and, in certain cases, PEDOT:PSS and Conductivity.
Chemical engineering, Engineering design process, Mathematical optimization, Optoelectronics and Catalysis are his primary areas of study. His Catalysis study frequently intersects with other fields, such as Inorganic chemistry.
Wei Chen mainly focuses on Chemical engineering, Catalysis, Cancer research, Electrocatalyst and Internal medicine. His Chemical engineering research is mostly focused on the topic Nanoparticle. Wei Chen combines subjects such as Inorganic chemistry, Faraday efficiency and Overpotential with his study of Catalysis.
His Cancer research research is multidisciplinary, incorporating perspectives in Cancer, Metastasis, microRNA and Apoptosis. His study in Internal medicine focuses on Adverse effect in particular.
Wei Chen mostly deals with Chemical engineering, Catalysis, Electrocatalyst, Electrochemistry and Nanotechnology. His work in Chemical engineering covers topics such as Bifunctional which are related to areas like Hydrogen fuel. The Catalysis study which covers Methane that intersects with Hydrocarbon and Oxygen.
His Electrocatalyst study combines topics from a wide range of disciplines, such as Inorganic chemistry, Phosphide, Overpotential, Water splitting and Selenide. His Electrochemistry research is multidisciplinary, incorporating elements of Chemical substance, Conductive materials, Science, technology and society and Metal-organic framework. Wei Chen has included themes like Polystyrene, Superhydrophilicity and Nickel in his Nanotechnology study.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Commentary: The Materials Project: A materials genome approach to accelerating materials innovation
Anubhav Jain;Shyue Ping Ong;Geoffroy Hautier;Wei Chen.
APL Materials (2013)
Comparative studies of metamodelling techniques under multiple modelling criteria
R. Jin;W. Chen;Timothy William Simpson.
Structural and Multidisciplinary Optimization (2001)
Sequential Optimization and Reliability Assessment Method for Efficient Probabilistic Design
Xiaoping Du;Wei Chen.
design automation conference (2002)
Dark Matter Results from 54-Ton-Day Exposure of PandaX-II Experiment
Xiangyi Cui;Abdusalam Abdukerim.
Physical Review Letters (2017)
Hydroxychloroquine in patients with mainly mild to moderate coronavirus disease 2019: open label, randomised controlled trial.
Wei Tang;Zhujun Cao;Mingfeng Han;Zhengyan Wang.
BMJ (2020)
A procedure for robust design: Minimizing variations caused by noise factors and control factors
Wei Chen;J. K. Allen;Kwok Leung Tsui;F. Mistree.
Journal of Mechanical Design (1996)
Comparative studies of metamodeling techniques under multiple modeling criteria
Ruichen Jin;Wei Chen;Timothy W. Simpson.
8th Symposium on Multidisciplinary Analysis and Optimization 2000 (2000)
An Efficient Algorithm for Constructing Optimal Design of Computer Experiments
Ruichen Jin;Wei Chen;Agus Sudjianto.
design automation conference (2003)
Sampling Strategies for Computer Experiments: Design and Analysis
T. Simpson;L. Dennis;W. Chen.
International Journal of Reliability and Application (2001)
A synthetic host-guest system achieves avidin-biotin affinity by overcoming enthalpy-entropy compensation.
Mikhail V. Rekharsky;Tadashi Mori;Cheng Yang;Young Ho Ko.
Proceedings of the National Academy of Sciences of the United States of America (2007)
Lawrence Berkeley National Laboratory
Jiangnan University
Chinese Academy of Sciences
Northwestern University
Northwestern University
Duke University
Pennsylvania State University
Jiangnan University
University of Oklahoma
Indiana University – Purdue University Indianapolis
Profile was last updated on December 6th, 2021.
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