Rapid Prediction of Phonon Density of States by Crystal Attention Graph Neural Network and High-Throughput Screening of Candidate Substrates for Wide Bandgap Electronic Cooling
Mohammed Al-fahdi, Changpeng Lin, Chen Shen, Hongbin Zhang, Ming Hu
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引用次数: 0
Abstract
Machine learning has demonstrated superior performance in predicting vast materials properties. However, predicting a spectral-like continuous material property such as phonon density of states (DOS) is more challenging for machine learning. In this work, with phonon DOS of 4,994 inorganic structures with 62 unique elements calculated by density functional theory (DFT), we developed a crystal attention graph neural network (CATGNN) model for predicting total phonon DOS of crystalline materials. The computational cost of training the CATGNN model is several orders of magnitude cheaper than full DFT calculations. We find that high vibrational similarity or phonon DOS overlap is not the only requirement to obtain high interfacial thermal conductance (ITC) instead, the average acoustic group velocity of heat source and heat sink for the acoustic branches in the phonon DOS overlap region is equally important in determining ITC. Pearson correlation analysis yields a few simple material descriptors that are strongly but negatively correlated with ITC. These easy-to-calculate material features combined with the proposed high average acoustic group velocity and phonon DOS overlap predicted by CATGNN model offer a new reliable and fast route for high-throughput screening of novel crystalline materials with desirable high ITC for phonon-mediated thermal management of wide bandgap electronics.
期刊介绍:
Materials Today Physics is a multi-disciplinary journal focused on the physics of materials, encompassing both the physical properties and materials synthesis. Operating at the interface of physics and materials science, this journal covers one of the largest and most dynamic fields within physical science. The forefront research in materials physics is driving advancements in new materials, uncovering new physics, and fostering novel applications at an unprecedented pace.