Catalyst, a material that can affect the rate of a reaction without being changed itself, plays an important role in chemical industry worldwide. Currently, the development of catalysts is based on experiments under the guidance of experience and intuition of chemists. Some chemists follow one-factor-at-a-time (OFAT) method, however, OFAT was proved to be suboptimal. As a result, the main objective of my study is to achieve rational model-based catalyst design and optimization. The basic part of this framework is response surface methodology (RSM), a combination of (1) design of experiments (DoE), (2) development of a data-based model and (3) model-based optimization. Based on this framework, other approaches may be combined to meet differe...
Translation of catalysts developed in academia to industrial end-users remains a challenge due to a ...
Development of machine learning models for reaction design has garnered growing interest. Notably, ...
In this tutorial we highlight the optimal working methodology for discovering novel heterogeneous ca...
The continuing development of high throughput experiments (HTE) in the field of catalysis has dramat...
The discovery of new or improved catalysts is often an arduous task. In several instances, empirical...
The development of new catalysts for a variety of chemical processes, molecular-level fundamental un...
In silico catalyst optimization is the ultimate application of computers in catalysis. This article ...
textCatalysts are essential for technological advances, because of their indispensable role in chemi...
Response surface methodology (RSM) is dependent on the design of experiments (DoE) and empirical mod...
In any product and process optimization, the use of the traditional OFAT approach examines only one...
Bezerra et al. (2008) referred optimizing as a means to enhance the performance of a system or a pro...
Several chemical and biological processes have been investigated and predicted using Response Surfac...
The perfect catalyst: The advances towards the ability to design a catalyst from first principles ar...
When Haldor Topsøe founded his company in 1940, the application of solid catalysts in industrial che...
Dionisios VlachosCatalysts design for practical applications has traditionally been a loosely direc...
Translation of catalysts developed in academia to industrial end-users remains a challenge due to a ...
Development of machine learning models for reaction design has garnered growing interest. Notably, ...
In this tutorial we highlight the optimal working methodology for discovering novel heterogeneous ca...
The continuing development of high throughput experiments (HTE) in the field of catalysis has dramat...
The discovery of new or improved catalysts is often an arduous task. In several instances, empirical...
The development of new catalysts for a variety of chemical processes, molecular-level fundamental un...
In silico catalyst optimization is the ultimate application of computers in catalysis. This article ...
textCatalysts are essential for technological advances, because of their indispensable role in chemi...
Response surface methodology (RSM) is dependent on the design of experiments (DoE) and empirical mod...
In any product and process optimization, the use of the traditional OFAT approach examines only one...
Bezerra et al. (2008) referred optimizing as a means to enhance the performance of a system or a pro...
Several chemical and biological processes have been investigated and predicted using Response Surfac...
The perfect catalyst: The advances towards the ability to design a catalyst from first principles ar...
When Haldor Topsøe founded his company in 1940, the application of solid catalysts in industrial che...
Dionisios VlachosCatalysts design for practical applications has traditionally been a loosely direc...
Translation of catalysts developed in academia to industrial end-users remains a challenge due to a ...
Development of machine learning models for reaction design has garnered growing interest. Notably, ...
In this tutorial we highlight the optimal working methodology for discovering novel heterogeneous ca...