Researchers from PennState developed and published advanced MLCC failure time prediction model by physics-based machine learning model published by APL Machine Learning Journal. Abstract Multilayer ceramic capacitors (MLCC) play a Read the original post at Improved Prediction for MLCC Failure Time by Physics-Based Machine Learning
A research group led by Professor Minoru Osada at the Institute for Materials and Systems for Sustainability (IMaSS), Nagoya University in Japan, in collaboration with NIMS, has developed a nanosheet Read the original post at Researchers Developed 2D High‑κ Perovskites Dielectric Nanosheets for High Energy Density of Capacitors
Yageo Corp, the world’s third-largest supplier of multilayer ceramic capacitors (MLCCs), yesterday projected that its revenue would be little changed this quarter and the next on a sequential basis, as Read the original post at Yageo Sees No Uptick in Revenue in Q3/Q4 2023 Despite Recovery
Sam Ben-Yaakov in this video part I. explains how to model and simulate a physical inductor in high frequency using LTSpice. This video is a first part of two parts Read the original post at High frequency model of the physical inductor: The basic lumped model
KEMET, part of the YAGEO Group and leading global electronic components supplier, announces the new X7R high voltage VW80808 series automotive grade MLCC. With case sizes ranging from EIA 0603 Read the original post at KEMET Introduces New X7R High Voltage Automotive MLCC
