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1. 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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2. Thermodynamics of computing with circuits

   https://doi.org/10.1088/1367-2630/ab82b8  

   Wolpert, David H.; Kolchinsky, Artemy (June 2020, New Journal of Physics)

   Abstract Digital computers implement computations using circuits, as do many naturally occurring systems (e.g., gene regulatory networks). The topology of any such circuit restricts which variables may be physically coupled during the operation of the circuit. We investigate how such restrictions on the physical coupling affects the thermodynamic costs of running the circuit. To do this we first calculate the minimal additional entropy production that arises when we run a given gate in a circuit. We then build on this calculation, to analyze how the thermodynamic costs of implementing a computation with a full circuit, comprising multiple connected gates, depends on the topology of that circuit. This analysis provides a rich new set of optimization problems that must be addressed by any designer of a circuit, if they wish to minimize thermodynamic costs. 

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3. Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information

   Xu, Yichong; Balakrishnan, Sivaraman; Dubrawski, Arthur; Singh, Aarti (January 2020, Journal of machine learning research)

   null (Ed.)
4. Older adults with visual disabilities and fear of falling associated with activities of daily living

   https://doi.org/10.1504/IJHFE.2021.10037372  

   Kim, Hyung Nam (January 2021, International Journal of Human Factors and Ergonomics)

   null (Ed.)
5. Elusive Nonsolvated Cocrystals of Aspirin: Two Polymorphs with Bipyridine Discovered with the Assistance of Mechanochemistry

   https://doi.org/10.1021/acs.cgd.8b00104  

   Oburn, Shalisa M.; Ray, Olivia A.; MacGillivray, Leonard R. (February 2018, Crystal Growth & Design)