Polymers are ubiquitous to almost every aspect of modern society and their use in medical products is similarly pervasive. Despite this, the diversity in commercial polymers used in …
Abstract The Computational 2D Materials Database (C2DB) is a highly curated open database organising a wealth of computed properties for more than 4000 atomically thin two …
A Mahmood, JL Wang - Energy & environmental science, 2021 - pubs.rsc.org
Machine learning (ML) is a field of computer science that uses algorithms and techniques for automating solutions to complex problems that are hard to program using conventional …
A Mahmood, A Irfan, JL Wang - Chinese Journal of Polymer Science, 2022 - Springer
Abstract Machine learning is a powerful tool that can provide a way to revolutionize the material science. Its use for the designing and screening of materials for polymer solar cells …
In the space of only a few years, deep generative modeling has revolutionized how we think of artificial creativity, yielding autonomous systems which produce original images, music …
T Sousa, J Correia, V Pereira… - Journal of chemical …, 2021 - ACS Publications
In the past few years, de novo molecular design has increasingly been using generative models from the emergent field of Deep Learning, proposing novel compounds that are …
With the development of modern society, the requirement for energy has become increasingly important on a global scale. Therefore, the exploration of novel materials for …
Theoretical simulations of electronic excitations and associated processes in molecules are indispensable for fundamental research and technological innovations. However, such …
Machine learning (ML) methods are being used in almost every conceivable area of electronic structure theory and molecular simulation. In particular, ML has become firmly …