activity
20132023
most citedBig-Data Science in Porous Materials: Materials Genomics and Machine Learning

601 citations · 1.8k across the 12 of their papers we have counts for

collaborators
Showing cond-mat.mtrl-sciShow all

7 papers · 1 filter

cond-mat.mtrl-sci2023★ 214 cited

14 Examples of How LLMs Can Transform Materials Science and Chemistry: A Reflection on a Large Language Model Hackathon

Kevin Maik Jablonka, Qianxiang Ai, Alexander Al-Feghali +50

Large-language models (LLMs) such as GPT-4 caught the interest of many scientists. Recent studies suggested that these models could be useful in chemistry and materials science. To…

cond-mat.mtrl-sci2021★ 19 cited

Trends in atomistic simulation software usage

Leopold Talirz, Luca M. Ghiringhelli, Berend Smit

Driven by the unprecedented computational power available to scientific research, the use of computers in solid-state physics, chemistry and materials science has been on a continu…

cond-mat.mtrl-sci2021★ 42 cited

Common workflows for computing material properties using different quantum engines

Sebastiaan P. Huber, Emanuele Bosoni, Marnik Bercx +23

The prediction of material properties through electronic-structure simulations based on density-functional theory has become routinely common, thanks, in part, to the steady increa…

cond-mat.mtrl-sci2020★ 95 cited

AiiDAlab -- an ecosystem for developing, executing, and sharing scientific workflows

Aliaksandr V. Yakutovich, Kristjan Eimre, Ole Schütt +10

Cloud platforms allow users to execute tasks directly from their web browser and are a key enabling technology not only for commerce but also for computational science. Research so…

cond-mat.mtrl-sci2020★ 399 cited

Materials Cloud, a platform for open computational science

Leopold Talirz, Snehal Kumbhar, Elsa Passaro +17

Materials Cloud is a platform designed to enable open and seamless sharing of resources for computational science, driven by applications in materials modelling. It hosts 1) archiv…

cond-mat.mtrl-sci2020★ 601 cited

Big-Data Science in Porous Materials: Materials Genomics and Machine Learning

Kevin Maik Jablonka, Daniele Ongari, Seyed Mohamad Moosavi +1

By combining metal nodes with organic linkers we can potentially synthesize millions of possible metal organic frameworks (MOFs). At present, we have libraries of over ten thousand…

cond-mat.mtrl-sci2013★ 18 cited

Redox chemistry and metal-insulator transitions intertwined in a nano-porous material

Sergey N. Maximoff, Berend Smit

Metal organic frameworks are nano porous adsorbents of relevance to gas separation and catalysis, and O2 separation from air is essential to diverse industrial applications. A meta…