Physics Engineering
Physics Engineering - Related Videos
09:56
High Resolution Physical Characterization of Single Metallic Nanoparticles
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Cited by 2 •
2019
Here, we present a protocol to detect discrete metal oxygen clusters, polyoxometalates (POMs), at the single molecule limit using a biological nanopore-based electronic platform. The method provides a complementary approach to traditional analytical chemistry tools used in the study of these molecules.
05:21
General Approach to the Physical Exam
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2023
Source: Jaideep S. Talwalkar, MD, Internal Medicine and Pediatrics, Yale School of Medicine, New Haven, CT The examination of the body is fundamental to the practice of medicine. Since the Roman Empire, physicians have described the connection between alterations in function of specific parts of the body and specific disease states and have sought to further scientific understanding to improve bedside diagnosis. However, in this modern age of increasing technology within medical diagnostics, it...
08:45
Assessment of Physical Activity Intensity with Accelerometers and Oxygen Consumption
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2025
Here, we present a protocol to assess physical activity intensity levels measured with indirect calorimetry and two accelerometers (on the right wrist and waist) during an incremental walking-jogging test (from 0.84 to 2.37 m/s) on an oval track. The results show differences among the physical intensity assessed through those methods.
08:07
Erythrocyte Sedimentation Rate: A Physics-Driven Characterization in a Medical Context
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Cited by 6 •
2023
Erythrocyte sedimentation rate (ESR) is a physical parameter, often used in routine health checks and medical diagnosis. A theoretical model that allows to extract physically-meaningful parameters from the whole sedimentation curve, based on modern colloidal knowledge, has recently been developed. Here, we present a protocol to automatically collect the ESR over time, and extract the parameters of this recent model from this automated data collection. These refined parameters are also likely to...
16:41
Experimental Approaches to Tissue Engineering
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Cited by 2 •
2007
FAQs
Mathematical modeling converts physical principles into relationships that describe how a system should behave. Engineers can use these relationships to connect energy transfer, forces, fields, waves, or material behavior with measurable design requirements. The resulting predictions help compare possible designs quantitatively before testing, making it easier to identify performance targets and evaluate whether a proposed system meets them.
The translation begins by identifying which physical effects control system behavior, such as force, energy transfer, fields, waves, or material response. Those effects are then expressed as measurable requirements for performance, efficiency, or reliability. This connection allows abstract physical concepts to guide concrete design choices and gives experiments specific quantities to measure under defined conditions.
Experimental testing shows how closely a design performs under defined conditions compared with its predicted behavior. Quantitative analysis of the results reveals where performance, efficiency, or reliability can improve. Engineers then refine the design rather than relying only on theoretical expectations. This iterative connection between prediction, measurement, and adjustment helps convert physical understanding into more effective technologies.
A typical workflow identifies the governing physical principles, develops mathematical models, and translates them into measurable system requirements. Engineers then design a candidate system, test it under defined conditions, and analyze the measurements quantitatively. If the results reveal limitations, the design is refined and evaluated again. This sequence links physical reasoning with practical engineering constraints.
Physics engineering supports a broad range of technologies, including electronics, photonics, energy systems, sensors, medical devices, and advanced materials. The relevant physical focus changes by application: fields and waves may guide photonic or electronic systems, while energy transfer or material behavior may shape energy technologies and devices. In each case, measurable performance requirements connect physics to design.
Physics provides principles for understanding energy, force, fields, waves, and material behavior, while physics engineering applies that understanding within system requirements and engineering constraints. The engineering emphasis includes design, measurement, performance evaluation, efficiency, and reliability. This application-oriented approach helps determine not only why a system behaves as it does, but also how its behavior can be improved in a practical technology.