Opening book details…
About this book
Myths of High-throughput Experimentation and Automation in Chemistry by Matthew J. Gaunt & Jacob M. Janey & Danielle M. Schultz & Tim Cernak is a book available to read on EtoBox.
- Author
- Matthew J. Gaunt & Jacob M. Janey & Danielle M. Schultz & Tim Cernak
- Publisher
- Elsevier Inc.
- Language
- EN
More by Matthew J. Gaunt & Jacob M. Janey & Danielle M. Schultz & Tim Cernak
Browse all works by Matthew J. Gaunt & Jacob M. Janey & Danielle M. Schultz & Tim Cernak
Similar books
- 9.02 High-Throughput Analysis for High-Throughput Experimentation in Organic Chemistry — W. Schafer; X. Bu; X. Gong; L.A Joyce; C.J. Welch (2014)
- High-throughput Discovery of Chemical Structure-polarity Relationships Combining Automation and Machine-learning Techniques — Hao Xu & Jinglong Lin & Qianyi Liu & Yuntian Chen & Jianning Zhang & Yang & Michael C. Young & Yan Xu & Dongxiao Zhang & Fanyang Mo (2022)
- Toward Machine Learning-Enhanced High-Throughput Experimentation — Natalie S. Eyke & Brent A. Koscher & Klavs F. Jensen (2021)
- Combinatorial Chemistry and High-throughput Screening in Drug Discovery and Development — Ken Appell; John J. Baldwin; William J. Egan (2001)
- A Homogeneous High-throughput Array for the Detection and Discrimination of Influenza A Viruses — Wei-Tao Dou & Xiang Wang & Tingting Liu & Suwen Zhao & Jiao-Jiao Liu & Yao Yan & Jun Li & Chi-Yu Zhang & Adam C. Sedgwick & He Tian & Jonathan L. Sessler & Dong-Ming Zhou & Xiao-Peng He (2022)
- A High-throughput Workflow to Analyze Sequence-conformation Relationships and Explore Hydrophobic Patterning in Disordered Peptoids — Erin C. Day & Supraja S. Chittari & Keila C. Cunha & Roy J. Zhao & James N. Dodds & Delaney C. Davis & Erin S. Baker & Rebecca B. Berlow & Joan-Emma Shea & Rishikesh U. Kulkarni & Abigail S. Knight (2024)