Using Deep Graph Neural Networks Improves Physics-Based Hydration Free Energy Predictions Even for Molecules Outside of the Training Set Distribution ...

Sea ice data is updated daily, with a one-day lag. On occasion, there is data delay which is usually resolved within a few days. The orange line in extent and concentration images (left and middle) ...

Graph-theoretical (GT) representations, conceptually analogous to chemical formulas, offer a powerful and versatile framework for describing the structure of nanomaterials─including complex assemblies ...

We describe a novel approach to interpret a polar code as a low-density parity-check (LDPC)-like code with an underlying sparse decoding graph. This sparse graph is based on the encoding factor graph ...

The iconic Swiss watchmaker re-introduced a slew of updated and upgraded watches under the Formula 1 Solargraph name.

A general design method for pipelined belief propagation (BP) polar decoder is proposed in this paper. By associating data flow graph (DFG) of polar encoder with factor graph (FG) of BP polar decoder, ...