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.
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?
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.
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?
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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