A collaborative research team led by Professor Pan Feng from the School of New Materials at Peking University Shenzhen ...

AI has uncovered promising new materials that could make lithium-ion batteries obsolete and revolutionize energy storage.

A new AI tool has identified five promising metal oxide structures which could be used to replace lithium-ion batteries. The ...

Next, Dear-DIA uses a variational autoencoder to extract the peak features of fragment ions and maps the features into Euclidean space, and then clusters the features, with different classes of ...

A variational autoencoder (VAE) is a deep neural system that can be used to generate synthetic data. VAEs share some architectural similarities with regular neural autoencoders (AEs) but an AE is not ...

AI is helping scientists crack the code on next-gen batteries that could replace lithium-ion tech. By discovering novel porous materials, researchers may have paved the way for more powerful and ...

Specifically, the team used generative AI to discover new porous materials that could make multivalent-ion batteries a viable replacement for lithium-based systems. These next-generation batteries ...

Methods: We developed a Deep Hierarchical Conditional Variational Autoencoder (CVAE) for de novo ACP design, using transfer learning by initializing the ESM-2 pre-trained encoder. A comprehensive ACP ...