首页|Findings from Indian Institute for Technology Has Provided New Data on Machine Learning (End-to-end Material Thermal Conductivity Prediction Through Machine Learning)
Findings from Indian Institute for Technology Has Provided New Data on Machine Learning (End-to-end Material Thermal Conductivity Prediction Through Machine Learning)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
Investigators publish new report on Machine Learning. According to news reporting out of Mumbai, India, by NewsRx editors, research stated, "We investigated the accelerated prediction of the thermal conductivity of materials through end-to-end structure-based approaches employing machine learning methods. Due to the non-availability of high-quality thermal conductivity data, we first performed high-throughput calculations based on first principles and the Boltzmann transport equation for 225 materials, effectively more than doubling the size of the existing dataset." Funders for this research include National Supercomputing Mission, Government of India, Core Research Grant, Science & Engineering Research Board, India, Nano Mission, Government of India.
MumbaiIndiaAsiaCyborgsEmerging TechnologiesMachine LearningIndian Institute for Technology
NETL
NSTL
