activity
20232026
most citedReducing Training Data Needs with Minimal Multilevel Machine Learning (M3L)

18 citations · 28 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Fast Organic Crystal Structure Prediction with Unit Cell Flow Matching

Alston Lo, Luka Mucko, Austin H. Cheng +4

Organic crystal structure prediction (CSP) is a requirement for computational modelling of organic solids, but traditionally costs several CPU-years per molecule. Generative models…

physics.soc-ph2025

AI4X Roadmap: Artificial Intelligence for the advancement of scientific pursuit and its future directions

Stephen G. Dale, Nikita Kazeev, Alastair J. A. Price +65

Artificial intelligence and machine learning are reshaping how we approach scientific discovery, not by replacing established methods but by extending what researchers can probe, p…

cond-mat.mtrl-sci2025★ 8 cited

Roadmap on Advancements of the FHI-aims Software Package

Joseph W. Abbott, Carlos Mera Acosta, Alaa Akkoush +203

Electronic-structure theory is the foundation of the description of materials including multiscale modeling of their properties and functions. Obviously, without sufficient accurac…

physics.chem-ph2024★ 2 cited

Adaptive hybrid density functionals

Danish Khan, Alastair James Arthur Price, Maximilian L. Ach +1

Exact exchange contributions are known to crucially affect electronic states, which in turn govern covalent bond formation and breaking in chemical species. Empirically averaging t…

physics.chem-ph2023★ 18 cited

Reducing Training Data Needs with Minimal Multilevel Machine Learning (M3L)

Stefan Heinen, Danish Khan, Guido Falk von Rudorff +7

For many machine learning applications in science, data acquisition, not training, is the bottleneck even when avoiding experiments and relying on computation and simulation. Corre…