DARWIN Series: Domain Specific Large Language Models for Natural Science

2 code implementations • 25 Aug 2023 • Tong Xie, Yuwei Wan, Wei Huang, Zhenyu Yin, Yixuan Liu, Shaozhou Wang, Qingyuan Linghu, Chunyu Kit, Clara Grazian, Wenjie Zhang, Imran Razzak, Bram Hoex

To add new capabilities in natural science, enabling the acceleration and enrichment of automation of the discovery process, we present DARWIN, a series of tailored LLMs for natural science, mainly in physics, chemistry, and material science.

Knowledge Graphs

Large Language Models as Master Key: Unlocking the Secrets of Materials Science with GPT

no code implementations • 5 Apr 2023 • Tong Xie, Yuwei Wan, Wei Huang, Yufei Zhou, Yixuan Liu, Qingyuan Linghu, Shaozhou Wang, Chunyu Kit, Clara Grazian, Wenjie Zhang, Bram Hoex

The amount of data has growing significance in exploring cutting-edge materials and a number of datasets have been generated either by hand or automated approaches.

feature selection Language Modelling

Interdisciplinary Discovery of Nanomaterials Based on Convolutional Neural Networks

no code implementations • 6 Dec 2022 • Tong Xie, Yuwei Wan, Weijian Li, Qingyuan Linghu, Shaozhou Wang, Yalun Cai, Han Liu, Chunyu Kit, Clara Grazian, Bram Hoex

The material science literature contains up-to-date and comprehensive scientific knowledge of materials.

Approximate Bayesian Conditional Copulas

no code implementations • 4 Mar 2021 • Clara Grazian, Luciana Dalla Valle, Brunero Liseo

Copula models are flexible tools to represent complex structures of dependence for multivariate random variables.

Methodology

Modelling Preference Data with the Wallenius Distribution

no code implementations • 27 Jan 2017 • Clara Grazian, Fabrizio Leisen, Brunero Liseo

The Wallenius distribution is a generalisation of the Hypergeometric distribution where weights are assigned to balls of different colours.

General Classification