Machine learning-assisted wood materials: Applications and future prospects
Wood and wood-based materials, surpassing their conventional image as mere stems and
branches of trees, have found extensive utilization in diverse industrial sectors due to their …
branches of trees, have found extensive utilization in diverse industrial sectors due to their …
Catalysis in the digital age: Unlocking the power of data with machine learning
BM Abraham, MV Jyothirmai, P Sinha… - Wiley …, 2024 - Wiley Online Library
The design and discovery of new and improved catalysts are driving forces for accelerating
scientific and technological innovations in the fields of energy conversion, environmental …
scientific and technological innovations in the fields of energy conversion, environmental …
MatText: Do Language Models Need More than Text & Scale for Materials Modeling?
Effectively representing materials as text has the potential to leverage the vast
advancements of large language models (LLMs) for discovering new materials. While LLMs …
advancements of large language models (LLMs) for discovering new materials. While LLMs …
[HTML][HTML] Large-language models: The game-changers for materials science research
S Yu, N Ran, J Liu - Artificial Intelligence Chemistry, 2024 - Elsevier
Abstract Large Language Models (LLMs), such as GPT-4, are precipitating a new" industrial
revolution" by significantly enhancing productivity across various domains. These models …
revolution" by significantly enhancing productivity across various domains. These models …
Optimizing Methane Uptake on N/O Functionalized Graphene via DFT, Machine Learning, and Uniform Manifold Approximation and Projection (UMAP) Techniques
M Rahimi, A Mehrpanah, P Mouchani… - Industrial & …, 2024 - ACS Publications
Carbon materials possess active sites and functionalities on the surface that can attract
prominent interest as solid adsorbents for diverse gas adsorption. This study aimed to …
prominent interest as solid adsorbents for diverse gas adsorption. This study aimed to …
Unleashing the power of AI in science-key considerations for materials data preparation
Y Lu, H Wang, L Zhang, N Yu, S Shi, H Su - Scientific Data, 2024 - nature.com
The release of ChatGPT has triggered global attention on artificial intelligence (AI), and AI
for science is thus becoming a hot topic in the scientific community. When we think about …
for science is thus becoming a hot topic in the scientific community. When we think about …
Neural network ensembles for band gap prediction
The band gap energy is a critical physical property that characterizes the optical and
electronic properties of semiconductors and insulators. The density functional theory has …
electronic properties of semiconductors and insulators. The density functional theory has …