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1. Validation and administration of a conceptual survey on the formalism and postulates of quantum mechanics

   https://doi.org/10.1103/PhysRevPhysEducRes.15.020128  

   Marshman, Emily ; Singh, Chandralekha ( September 2019 , Physical Review Physics Education Research)
2. Focus on conceptual ideas in quantum mechanics for teacher training

   https://doi.org/10.1088/1742-6596/2490/1/012004  

   Freericks, James K ( April 2023 , Journal of Physics: Conference Series)

   Abstract In this work, we describe strategies and provide case-study activities that can be used to examine the properties of superposition, entanglement, tagging, complementarity, and measurement in quantum curricula geared for teacher training. Having a solid foundation in these conceptual ideas is critical for educators who will be adopting quantum ideas within the classroom. Yet they are some of the most difficult concepts to master. We show how one can systematically develop these conceptual foundations with thought experiments on light and with thought experiments that employ the Stern-Gerlach experiment. We emphasize the importance of computer animations in aiding the instruction on these concepts. 

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3. Building a phenomenological chain-level understanding of mechanics of semicrystalline polymers: 2. Conceptual

   https://doi.org/10.1016/j.polymer.2023.125877  

   Wang, Shi-Qing ; Smith, Travis ; Gupta, Chaitanya ; Siavoshani, Asal Y. ( May 2023 , Polymer)
4. Verification & Validation of Computational Models associated with the Mechanics of Materials with the Mechanics of Materials.

   https://doi.org/www.dx.doi.org/10.7449/VandV_1.  

   The Minerals Metals & Materials Society, Inc ( April 2019 , Verification & Validation of Computational Models associated with the Mechanics of Materials with the Mechanics of Materials.)

   Predictive computational models associated with the mechanics of materials (MOM) offer great potential for enabling large reductions in the cost and time to develop new products and manufacturing procedures. Unfortunately, this potential is currently limited because very rarely are such models adequately and broadly proven to yield trustworthy, accurate, quantitative results for which the level of uncertainty has been quantified. In this regard, the need for rigorous verification and validation (V&V) of these models cannot be overestimated, yet is extremely lacking within the relevant MOM communities. There is thus a strong need to help these communities accelerate the widespread adoption and implementation of such V&V activities. In this vein, concise definitions of verification and validation have been provided by the American Society of Mechanical Engineers (ASME),1 and can be applied here as well: • Verification: The process of determining that a computational model accurately represents the underlying mathematical model and its solution • Validation: The process of determining the degree to which a model is an accurate representation of the real world from the perspective of the intended uses of the model The overarching goal of this workshop and report is thus to help facilitate the widespread and rigorous adoption of V&V by both computational modelers and experimentalists in MOM-related communities. 

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5. Controlling Nucleation Pathways in Zeolite Crystallization: Seeding Conceptual Methodologies for Advanced Materials Design

   https://doi.org/10.1021/jacs.1c11014  

   Jain, Rishabh ; Mallette, Adam J. ; Rimer, Jeffrey D. ( December 2021 , Journal of the American Chemical Society)