High-Throughput Computational Studies in Catalysis and Materials Research, and their Impact on Rational Design
Mohammad Atif Faiz Afzal, Johannes Hachmann

TL;DR
This paper reviews recent high-throughput computational screening efforts in catalysis and materials science, highlighting their role in accelerating discovery and design of new compounds for energy, environmental, and electronic applications.
Contribution
It provides a comprehensive overview of high-throughput virtual screening techniques applied to catalysts and materials, emphasizing recent high-profile projects and their impact.
Findings
HTPS accelerates materials discovery process
Open-source tools and computational resources enhance screening efficiency
Successful applications in energy, environmental, and electronic materials
Abstract
In the 21st century, many technology fields have become reliant on advancements in process automation. We have seen dramatic growth in areas and industries that have successfully implemented a high level of automation. In drug discovery, for example, it has alleviated an otherwise extremely complex and tedious process and has resulted in the development of several new drugs. Over the last decade, these automation techniques have begun being adapted in the chemical and materials community as well with the goal of exploring chemical space and pursuing the discovery and design of novel compounds for various applications. The impact of new materials on industrial and economic development has been stimulating tremendous research efforts by the materials community, and embracing automation as well as tools from computational and data science have led to acceleration and streamlining of the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMachine Learning in Materials Science · Cloud Computing and Resource Management · Catalysis and Oxidation Reactions
