In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

FLO, offers practical guidance on leveraging artificial intelligence, digital twins and streamlined workflows to improve ...

Conducting polymers have emerged as a pivotal class of materials for advanced optoelectronic applications owing to their tunable molecular structure, ...

According to Towards ICT, the global materials informatics market size is calculated at USD 183.51 million in 2026 and is ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

Pharmaceutical Separation Science Session Day two of HPLC 2025 concluded with a session on pharmaceutical separations chaired ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

D-Wave Quantum (NYSE:QBTS) develops quantum computing systems, hybrid solvers, and software platforms, driving technological ...

Explore how AI is transforming advanced materials design by analyzing microscopy images to create smarter, faster innovation ...

Machine learning (ML) is rapidly emerging as a powerful tool to improve the safety, reliability, and long-term performance of marine structures exposed to harsh ocean environments. This study presents ...