CALCE Professional Development Courses

CALCE offers over 20 professional development courses for the industry. In 2025, it delivered numerous courses covering topics such as the Physics of Failure, Counterfeit Electronics, Prognostics and Health Management, and others. The students came from across the industry and government, including the US Army, L3 Harris, Lockheed Martin, Honeywell, Medtronic, U.S. Air Force, Raytheon, Teledyne, Elbit Systems, and more.

Your company can benefit from the actionable knowledge these courses offer, taught by an instructional team of researchers with deep experience.

Power Spectrum Analysis-Based Counterfeit Screening: A Hardware Comparison

This study provides a comparative evaluation of the effectiveness of side-channel power spectrum analysis (PSA) for counterfeit microelectronic component detection using the Chiplytics PSA system and benchtop test and measurement equipment. Independent testing was performed by the University of Maryland's CALCE laboratory and Chiplytics using three signal voltage levels applied to three sets of functionally identical logic gate parts. Data was analyzed using principal component analysis and K-means clustering. …

The Novel Test Method to Measure Time-cure Superposition Shift Factors of Filled-Thermoset Under Isocure Testing Conditions

Despite the solid theoretical foundation of time-cure superposition, the time-cure superposition (TCS) shift factors reported in the literature do not support the theory very well. The discrepancy stems from the non-isocure test conditions used in the tests. This study proposes a novel method to eliminate the inherent problems of existing techniques to measure the TCS shift factors, i.e., to measure them under isocure test conditions. The proposed method optimizes a test procedure while offering sufficient relaxation but producing no or negligible additional curing during testing. Optimization requires a complete understanding of curing behavior, not only in the chemically-controlled domain but also in the diffusion-controlled domain. …

Hierarchical Hollow Silica Shells for Scalable and Passive Superinsulation

Porous silica materials are highly valued for their thermal management potential, with their high porosity and large surface area making them ideal for insulation. However, challenges persist in their practical manufacturing and in establishing clear relationships between their structure and insulation performance. Here, we report a rapid 10-minute gelation process under ambient temperature and pressure conditions to enable scalable manufacturing of tunable SiO₂ hollow spheres. …

A Meta-Transfer Learning-Guided Approach for Remaining Useful Life Prediction of Rolling Bearings with Small-Sample Data

As a key transmission component of rotating machinery, the life prediction and health management of rolling bearings are crucial for achieving intelligent operation and maintenance of equipment and ensuring the reliability of the system. A small-sample remaining useful life (RUL) prediction approach for rolling bearings based on meta-transfer learning is proposed in this paper. By fusing model-agnostic meta-learning (MAML) and domain adversarial neural networks (DANN), a MAML-DANN transfer learning (MDTL) framework is constructed to address the dual challenges of few-shot adaptation and cross-domain alignment. …

A Meta-Transfer-Driven Method for Predicting the Remaining Useful Life of Rolling Bearing with Few Shot Data

As a key component of rotating machinery, the operation, maintenance, and health management of bearings are of great significance, yet challenges such as the low bearing remaining useful life (RUL) prediction accuracy and the poor generalization persist. To address the above issues, this paper proposes a meta-transfer-driven method for cross-domain RUL prediction of rolling bearings with limited data. …