Latest Articles for Chemistry

Studying how engineered shapes form unique liquid crystalline materials.

This research examines how heat affects the structure of foam over time.

Study reveals how poly-phenylacetylene folds in different solvents and temperatures.

Research reveals insights into how hedgehog defects affect glass behavior under stress.

An overview of how crystals form and their significance in science.

Using language models to streamline the literature review process for researchers.

An exploration of bubble movement affected by temperature and surfactants in unique fluids.

Research reveals the chemistry of organic molecules in protostellar disks.

New approach enhances generative models for efficient compound discovery.

A new approach to improve solving linear equations with quantum computing.

New descriptors enhance predictions of chemical compounds in drug discovery and materials science.

New methods improve calculations of tunneling splittings in complex molecules.

New method enhances prediction of crystal structures in complex materials.

Examining the reliability and uncertainty in Large Language Models within chemistry.

New methods in quantum computing show promise for solving complex chemistry problems.

A look into how clusters form on scaffolds through templating aggregation.

A novel approach to improve electron interaction predictions in materials.

Chiral gold nanocrystals reveal unique electrical properties influenced by magnetic fields.

This study uncovers how chemical reactions impact phase separation behaviors.

QGNNs offer innovative ways to model and predict molecular properties using quantum mechanics.

A new method improves predictions of organic compound properties using machine learning techniques.

A fresh approach to modeling how clusters exchange and grow.

Research reveals how carbonyl sulfide may form in icy regions of space.

New techniques enhance studies of electron behavior with attosecond X-ray pulses.

A look into the significance and challenges of Density Functional Theory.

Introducing GraphSPNs to enhance graph-based probabilistic tasks and molecule generation.

New methods enhance study of dark states in materials.

This article investigates how directionality influences Turing patterns in complex systems.

This work examines how neural networks model autonomous systems with limited data.

A novel method enhances energy calculations, impacting quantum computing and material science.

Exploring the role of distributed quantum computing in chemistry advancements.

This article explores the behavior and transport of surfactants using computer simulations.

Introducing AVQDS(T): a new approach to quantum dynamics simulations reducing complexity and improving accuracy.

New methods improve understanding of particle and energy movement in complex systems.

A new system creates molecules directly from written instructions, improving efficiency.

Exploring how non-reciprocal mixtures reveal complex interactions in living systems.

New technique enhances simulations of particle interactions in complex systems using quantum computing.

A new tool helps identify point group symmetries in chemistry and materials science.

This study presents a new automated method for identifying spectral lines in space data.

MgPdAs shows superconductivity below 5.5 K, highlighting ternary compounds' potential.