Various types of data can be utilized in data driven optimization, including: - Experimental Data: Results from laboratory experiments and pilot studies. - High-Throughput Screening: Data from automated systems that test a wide range of conditions and materials. - Computational Data: Results from simulations and molecular modeling. - Literature Data: Published data from scientific articles and patents.
