Share Your Latest Sensor Development Breakthroughs | APL Engineering Physics, our newest gold open access journal is dedicated to publishing impactful, interdisciplinary research that leverages the principles of physics to tackle complex engineering challenges and pioneering technological innovations. |
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Next-generation sensors have emerged as one of the most unifying frontiers in modern engineering physics, where materials, photonics, electronics, mechanics, and information science converge to push the boundaries of what can be measured. From quantum-enabled detectors and chip-scale spectrometers to adaptive biosensing platforms, terahertz metamaterial sensors, and embedded multi-modal systems, breakthroughs increasingly occur when fundamental physical insight is paired with scalable engineering design. As sensing evolves from passive observation to active, intelligent interaction with the environment, the demand for precision, speed, and integration continues to reshape the field. APL Engineering Physics provides a platform for this convergence, publishing research that not only uncovers new physical sensing mechanisms but also translates them into transformative technologies that reveal the previously unmeasurable and enable the systems of tomorrow.
| | - Ranjan Singh, Editor-in-Chief University of Notre Dame, Indiana, USA | |
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Below you will find a list of sample papers within the scope of sensor development that would be welcome in APL Engineering Physics. | SAMPLE PAPERS IN SENSOR DEVELOPMENT |
A physicochemical-sensing electronic skin for stress response monitoring Changhao Xu, Yu Song, Juliane R. Sempionatto, Samuel A. Solomon, et al. Nat. Electron. | A vision chip with complementary pathways for open-world sensing Zheyu Yang, Taoyi Wang, Yihan Lin, Yuguo Chen, et al. Nature | A broadband hyperspectral image sensor with high spatio-temporal resolution Liheng Bian, Zhen Wang, Yuzhe Zhang, Lianjie Li, et al. Nature | Integrated mid-infrared sensing and ultrashort lasers based on wafer-level Td-WTe2 Weyl semimetal featured Available to Purchase Di Wu, Zhiheng Mo, Xue Li, Xiaoyan Ren, et al. Appl. Phys. Rev. | Monolithic 2D Perovskites Enabled Artificial Photonic Synapses for Neuromorphic Vision Sensors Yun Wang, Yanfang Zha, Chunxiong Bao, Fengrui Hu, et al. Adv. Mat. | A three-dimensionally architected electronic skin mimicking human mechanosensation Zhi Liu, Xiaonan Hu, Renheng Bo, Youzhou Yang, et al. Science | Fully Flexible MXene-based Gas Sensor on Paper for Highly Sensitive Room-Temperature Nitrogen Dioxide Detection Wenjing Quan Jia Shi, Hanyu Luo, Chao Fan, et al. ACS Sens. | Geometric deep optical sensing Shaofan Yuan, Chao Ma, Ethan Fetaya, Thomas Mueller, et al. Science | A retrainable neuromorphic biosensor for on-chip learning and classification E. R. W. van Doremaele, X. Ji, J. Rivnay & Y. van de Burgt Nat. Electron. | Metasurface-enabled on-chip multiplexed diffractive neural networks in the visible Xuhao Luo, Yueqiang Hu, Xiangnian Ou, Xin Li, et al. Light Sci. Appl. | |
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