News

Graph neural network-guided discovery of Cu-HEA CO₂ reduction catalysts
High-entropy alloys (HEAs) offer tunable compositions and surface structures, presenting significant potential for creating novel active sites to enhance CO2 reduction (CO2RR) catalysis, a key process ...
Priority Technology Holdings Inc.
Rajiv Kumar currently works at The Institute of Chartered Accountants of India, as Associate Member from 2008 and Priority Technology Holdings, Inc., as Chief Accounting Officer & Senior Vice ...
Design-Reuse14d
DVB-S2X Wideband LDPC/ BCH Encoder FEC IP Core Available For Licensing and Integration From Global IP Core
April 23, 2025 - Global IP Core Sales- One of the largest IP Core provider on the Semiconductor market, announces the availability of the DVB-S2X Wideband LDPC/ BCH Encoder IP Core, which is developed ...
Hot Rod28d
How-To and Engine Builds
At the HOT ROD How-To section, you’ll learn how to make improvements to your own special hot rod, drawing from the DIY knowledge of the HOT ROD team to learn more about how-to make more power ...
IEEE29d
Property-Guided Few-Shot Learning for Molecular Property Prediction With Dual-View Encoder and Relation Graph Learning Network
A dual-view encoder is introduced to learn a meaningful molecular representation by integrating information from node and subgraph. Next, a relation graph learning module is proposed to construct a ...
GitHub20d
Verilog implementation of a Graph Neural Network (GNN) accelerator for task scheduling on heterogeneous cores, including synthesis, APR, and power analysis.
This repository contains a complete Graph Neural Network (GNN) hardware accelerator developed in Verilog for task scheduling in heterogeneous multicore systems. Built as part of ECE 755 (Spring 2025) ...
IEEE25d
Implementation of turbo codes using verilog-HDL and estimation of its error correction capability
Abstract: Turbo coding is a powerful error correction technique among forward error correcting codes. Its performance is better as it achieves near Shannon limit ...
GitHub14d
GitHub - brianlsy98/DICE: Device-level Integrated Circuits Encoder with Graph Contrastive Pretraining
To bridge this gap, we introduce DICE: Device-level Integrated Circuits Encoder—the first graph neural network (GNN) pretrained via self-supervised learning specifically tailored for graph-level ...