Chemical processes and multiscale modeling approaches have become vital to the advancement of thermal protection systems (TPS) designed for supersonic and ...

A computational method accurately predicts the optimal ligand for a photochemical palladium catalyst, enabling new radical reactions of alkyl ketones. Ketones are common components in many organic ...

AI in Computer-Aided Synthesis Planning Market reached USD 2.13 bn in 2024 and is expected to grow rapidly to USD 68.06 bn by ...

This important and compelling study establishes a robust computational and experimental framework for the large-scale identification of metallophore biosynthetic clusters. The work advances beyond ...

Crystal structure prediction (CSP) of organic molecules is a critical task, especially in pharmaceuticals and materials ...

Quantum computing is set to redefine data security, AI, and cloud infrastructure. This in-depth research explores how post-quantum cryptography, quantum AI acceleration, and hybrid quantum-cloud ...

The past decade has witnessed remarkable advances in computational power, algorithms, and theoretical methods, enabling accurate modeling and prediction of ...

The Willow processor runs the first verifiable algorithm with real-world applications, marking shift from theory to practical ...

A research team from Google Quantum AI has developed a new quantum algorithm that is intended to enable a verifiable quantum ...

Chinese researchers used the Oceanlite supercomputer and a custom NNQS model to simulate molecular systems with 120 spin ...

Abstract: Research on seismic wave propagation in fluid-bearing reservoirs is crucial for unconventional oil and gas exploration. While traditional wave equation-based simulations are well-established ...