What Are the Best Materials To Separate a Xenon/Krypton Mixture?

By Cory M. Simon, Rocío Mercado, S. K. Schnell, Berend Smit, Maciej Haranczyk. 2015

233 citations recorded by the source corpus.

Subfields: Inorganic Chemistry, Materials Chemistry

View Paper: https://www.semanticscholar.org/paper/d4d1cb55dc96ae000881c1705c284188e4522b0f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Inorganic Chemistry

1. David S. Sholl
2. Randall Q. Snurr
3. Maciej Haranczyk
4. Jeffrey S. Camp
5. Benjamin J. Bucior
6. Yongchul G. Chung
7. Seda Keskin
8. O. Farha

In Materials Chemistry

1. David S. Sholl
2. Maciej Haranczyk
3. Randall Q. Snurr
4. B. Slater
5. O. Farha
6. J. Hupp

Citations in the corpus

• Big Data Creates New Opportunities for Materials Research: A Review on Methods and Applications of Machine Learning for Materials Design (2019, unknown): “Simon et al. [67] used the random forest method to discover new porous materials with great potential for xenon and krypton separation.”
• Advances, Updates, and Analytics for the Computation-Ready, Experimental Metal–Organic Framework Database: CoRE MOF 2019 (2019, result): “We compared our results with previous work of Simon and coworkers, who had computationally screened the CoRE MOF 2014 Database for Xe/Kr separation and found SBMOF-1 (CSD REFCODE: KAXQIL) as the MOF with the highest Xe/Kr selectivity.(19) In our screening of the CoRE MOF 2019 databases, we discovere”