Material dielectric constant prediction method and device, computer equipment, and storage medium

Abstract

The embodiment of the invention discloses a material dielectric constant prediction method and device, computer equipment, and a storage medium. The method comprises the following steps: acquiring a to-be-predicted low-temperature co-fired ceramic material formula to obtain a to-be-predicted material; inputting the to-be-predicted material into a prediction model for dielectric constant prediction to obtain a prediction result, wherein the prediction model is obtained by training a random forest model by taking low-temperature co-fired ceramic materials with known dielectric constants as a sample set. According to the embodiment of the invention, a machine learning model based on a random forest algorithm is trained by extracting a data set of low-temperature co-fired ceramic material formulas of a plurality of disclosed systems and through three parameters of dielectric constant, volume percentage, and density of a raw material; through the trained prediction model, a dielectric constant of the to-be-predicted low-temperature co-fired ceramic material formula is predicted, so that the prediction accuracy and generalization effect are improved, and the development period and cost of new materials are shortened.

Description

technical field [0001] The invention relates to a computer, more specifically to a method, a device, a computer device and a storage medium for predicting the dielectric constant of a low-temperature co-fired ceramic material. Background technique [0002] LTCC (Low Temperature Co-fired Ceramic) is a new material technology developed by American Hughes Corporation in 1982. Initially, LTCC was mainly used in the military field, but now LTCC has been widely used in automotive electronics, communications, and medical equipment. LTCC is a technology developed based on application-driven and process technology. LTCC can embed four major passive components such as inductors, resistors, transformers and capacitors into multi-layer ceramic boards, and then stack them together. The inner and outer electrodes can be made of silver, copper, gold and other metals, and sintered at 900°C. It can be made into a high-density circuit that does not interfere with each other in three-dimensi...

AI Technical Summary

Problems solved by technology

However, these models are only effective in predicting two-phase composites or some specific material systems.

For low-temperature co-fired ceramics, which are multi-system and multi-phase composite cera

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