Federated Incremental Learning algorithm based on Topological Data Analysis.

A predictive machine learning force-field framework for liquid electrolyte development.

An overview of implementing security and privacy in federated learning.

FedMMD: A Federated weighting algorithm considering Non-IID and Local Model Deviation.

Multi-AUV Cooperative Navigation Algorithm Based on Factor Graph With Stretching Nodes' Strategy.

A Review of Anthropogenic Ground-Level Carbon Emissions Based on Satellite Data.

Performance-guaranteed prescribed-time bipartite consensus of networked Lagrangian agents with bounded inputs and signed digraphs.

Data-Driven Parametrization of Molecular Mechanics Force Fields for Expansive Chemical Space Coverage.

Crystals with Transformers on Graphs, for Prediction of Unconventional Crystal Material Properties and the Benchmark.

BAMBOO: a predictive and transferable machine learning force field framework for liquid electrolyte development.

Multimodal machine learning for materials science: composition-structure bimodal learning for experimentally measured properties.

A cloud platform for automating and sharing analysis of raw simulation data from high throughput polymer molecular dynamics simulations.

RNA3DCNN: Local and global quality assessments of RNA 3D structures using 3D deep convolutional neural networks.

Formal Description for an Object-Oriented Role-based Access Control Model.