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The Solid-Electrolyte Interphase: A Challenge for Battery R&D
Technology
9/3/24
The Solid-Electrolyte Interphase: A Challenge for Battery R&D

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.

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Primordial soup: Simulating the beginnings of life with QuantistryLab’s quantum nanoreactor
Technology
8/6/24
Primordial soup: Simulating the beginnings of life with QuantistryLab’s quantum nanoreactor

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.

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Battery Materials from Trees for a Sustainable Future
Technology
7/10/24
Battery Materials from Trees for a Sustainable Future

To make the batteries of the future, R&D scientists are looking at materials sourced from nature. But can sustainable materials truly replace the battery materials we use today?

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Discovering Novel Materials with Quantum Chemistry: A Coffee with Stefan
A Coffee with Quantistry
7/4/24
Discovering Novel Materials with Quantum Chemistry: A Coffee with Stefan

In our interview series, "A Coffee with…," we give the floor to our awesome colleagues. This time, Stefan takes center stage and sheds light on how chemical simulations and quantum chemistry contribute to the discovery of new materials.

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Moving Beyond Serendipity in Science with Simulations, from Quantum to AI
Technology
6/13/24
Moving Beyond Serendipity in Science with Simulations, from Quantum to AI

Can multiscale simulations paired with machine learning spell the end for trial and error and usher in a new era of data-driven research and development?

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Machine Learning in Materials Science: What Can It Actually Do?
Technology
6/4/24
Machine Learning in Materials Science: What Can It Actually Do?

Machine learning has become a buzzword in all areas of science, and the hype around it can make it difficult to differentiate fact from (science) fiction. When it comes to researching new materials, some scientists believe we are now at the beginning of a second computational revolution at the hands of machine learning. But is that really true?

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