activity
20162025
most cited14 Examples of How LLMs Can Transform Materials Science and Chemistry: A Reflection on a Large Language Model Hackathon

214 citations · 432 across the 8 of their papers we have counts for

collaborators

8 papers

cond-mat.mtrl-sci2025★ 7 cited

Accelerating the discovery of high-performance nonlinear optical materials using active learning and high-throughput screening

Victor Trinquet, Matthew L. Evans, Gian-Marco Rignanese

Due to their abundant use in all-solid-state lasers, nonlinear optical (NLO) crystals are needed for many applications across diverse fields such as medicine and communication. How…

physics.data-an2024★ 3 cited

Datatractor: Metadata, automation, and registries for extractor interoperability in the chemical and materials sciences

Matthew L. Evans, Gian-Marco Rignanese, David Elbert +1

Two key issues hindering the transition towards FAIR data science are the poor discoverability and inconsistent instructions for the use of data extractor tools, i.e., how we go fr…

cond-mat.mtrl-sci2024★ 8 cited

Optical materials discovery and design with federated databases and machine learning

Victor Trinquet, Matthew L. Evans, Cameron J. Hargreaves +2

Combinatorial and guided screening of materials space with density-functional theory and related approaches has provided a wealth of hypothetical inorganic materials, which are inc…

cond-mat.mtrl-sci2024★ 49 cited

Developments and applications of the OPTIMADE API for materials discovery, design, and data exchange

Matthew L. Evans, Johan Bergsma, Andrius Merkys +56

The Open Databases Integration for Materials Design (OPTIMADE) application programming interface (API) empowers users with holistic access to a growing federation of databases, enh…

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★ 107 cited

OPTIMADE, an API for exchanging materials data

Casper W. Andersen, Rickard Armiento, Evgeny Blokhin +53

The Open Databases Integration for Materials Design (OPTIMADE) consortium has designed a universal application programming interface (API) to make materials databases accessible an…

cond-mat.mtrl-sci2021★ 31 cited

Robust model benchmarking and bias-imbalance in data-driven materials science: a case study on MODNet

Pierre-Paul De Breuck, Matthew L. Evans, Gian-Marco Rignanese

As the number of novel data-driven approaches to material science continues to grow, it is crucial to perform consistent quality, reliability and applicability assessments of model…

physics.flu-dyn2016★ 13 cited

Interactions between unidirectional quantized vortex rings

T. Zhu, M. L. Evans, R. A. Brown +2

We have used the vortex filament method to numerically investigate the interactions between pairs of quantized vortex rings that are initially traveling in the same direction but w…