High-performance computing infrastructures are essential for my everyday tasks to solve complex numerical problems within reasonable time. My work relies on large supercomputers, which consist of hundreds or thousands of interconnected compute nodes and are shared among many other scientists.
HPCwire, the leading publication for news and information for the high performance computing community, recently announced the winners of the 2018 HPCwire Readers’ and Editors’ Choice Awards. At the Supercomputing Conference (SC18), which took place in Dallas, TX, our efforts were awarded the Reader’s choice award for “Best Use of HPC in Physical Sciences”. Our work on using data-driven machine learning on Bridges to study the “high-pressure materials genome“, discovering new superconducting CuBi compounds, the first iron-bismuth compound and new TiO2 structures with potential for photocatalytic water splitting were highlighted in particular.