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Generating energy models from scratch is a costly and time consuming task. A detailed energy model can have thousands of input parameters that are necessary for a complete simulation of a building. A solution to this problem is the AutoBEMGen framework.
The technologies provides additives for polymer synthesis.
A new nanostructured bainitic steel with accelerated kinetics for bainite formation at 200 C was designed using a coupled CALPHAD, machine learning, and data mining approach.
The hybrid powder-encapsulated solvent over comes carbon capture challenges by providing a solution for easy handling of a non-toxic solid that is non-volatile and stable upon alternative energy regeneration methods.
With the ever-growing reliance on batteries to power the new green energy initiative the need for the chemicals and materials to produce these batteries is also growing accordingly.
The use of biomass fiber reinforcement for polymer composite applications, like those in buildings or automotive, has expanded rapidly due to the low cost, high stiffness, and inherent renewability of these materials. Biomass are commonly disposed of as waste.
Test facilities to evaluate materials compatibility in hydrogen are abundant for high pressure and low temperature (<100C).
Neutron scattering experiments cover a large temperature range in which experimenters want to test their samples.
Scanning transmission electron microscopes are useful for a variety of applications. Atomic defects in materials are critical for areas such as quantum photonics, magnetic storage, and catalysis.
Mineral looping is a promising method for direct air capture of CO2. However, reduction of sorbent reactivity after each loop is likely to be significant problems for mineral looping by MgO.