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.

AI is helping scientists crack the code on next-gen batteries that could replace lithium-ion tech. By discovering novel ...

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 ...

A gradual fine-tuning strategy was employed, progressively unfreezing the last 6 layers of ESM-2 encoder and applying discriminative learning rates with the AdamW optimizer. The model was trained ...

To overcome these hurdles, the NJIT team developed a novel dual-AI approach: a Crystal Diffusion Variational Autoencoder (CDVAE) and a finely tuned Large Language Model (LLM). Together, these AI tools ...

The trained neural autoencoder is subjected to a sanity check by computing the MSE for the 40-item validation dataset. The MSE is 0.0017 which is very close to the MSE of the dataset being reduced, ...

The Data Science Lab Data Anomaly Detection Using a Neural Autoencoder with C# 04/15/2024 Get Code Download Data anomaly detection is the process of examining a set of source data to find data items ...