The optimization of key properties such as viscosity is essential for the development of carbon capture materials that work faster and more efficiently. This use case highlights how QuantistryLab can be used to calculate the viscosity of chemical compounds used in carbon capture applications.
The viscosity of a plasticizer is of major importance to its efficiency. In this use case, QuantistryLab is used to model a commercial plasticizer and predict its viscosity using molecular dynamics simulations.
Optimizing electrolyte formulation is essential to the development of high-performance batteries. QuantistryLab offers multiple simulation tools to investigate key properties of an electrolyte formulation that can be integrated in battery R&D workflows to reduce costs and development time.
The density of the electrolyte is a reliable measurement used in battery quality control to ensure the composition follows all manufacturing requirements. This use case showcases how QuantistryLab simulations accurately calculate the density of multiple combinations of typical electrolyte solvents.
Machine learning force fields (MLFFs) are transforming molecular dynamics simulations by increasing the accuracy and reducing the computational costs of classical simulation techniques, enabling more accurate, efficient simulations across materials science, chemistry and biology.
Solid-state batteries may one day outperform lithium-ion batteries, offering higher energy density, improved safety, and longer lifespans. However, there are still major challenges to overcome before this technology can compete in the global market.
Despite the impact the solid electrolyte interphase (SEI) has on the performance of modern batteries, studying it remains a major challenge in battery R&D.
The primordial soup experiment was the first to provide proof of the origins of life. We set out to simulate one of the most important experiments in the history of modern science using the quantum nanoreactor feature within QuantistryLab.
Quantistry and IQM Quantum Computers (IQM) announced today a Memorandum of Understanding (MoU) to explore hybrid classical-quantum solutions, focusing on R&D challenges in the chemical and material industry.
Quantistry and IQM Quantum Computers (IQM) announced today a Memorandum of Understanding (MoU) to explore hybrid classical-quantum solutions, focusing on R&D challenges in the chemical and material industry.
Quantistry is growing its team as it prepares to scale up operations across all its departments, transforming from startup to scaleup.
Quantistry is growing its team as it prepares to scale up operations across all its departments, transforming from startup to scaleup.
With the investment from the previous financing round, we’ve embarked on a new chapter, moving us closer to our dream of transforming R&D. The announcement of this milestone was met with a fantastic response, prompting us to compile all related reports, which we're thrilled to feature in this article.
With the investment from the previous financing round, we’ve embarked on a new chapter, moving us closer to our dream of transforming R&D. The announcement of this milestone was met with a fantastic response, prompting us to compile all related reports, which we're thrilled to feature in this article.
We are happy to celebrate a significant milestone. Thanks to this €3M funding we're set to transform chemical and material R&D through our Quantum and AI-powered platform.
We are happy to celebrate a significant milestone. Thanks to this €3M funding we're set to transform chemical and material R&D through our Quantum and AI-powered platform.
At Quantistry, we’ve built the world’s most intuitive cloud-native simulation platform. It’s not just a software–it’s a holistic solution that helps you boost your R&D success.