Methods of computational quantum chemistry provide accurate approximations of molecular properties crucial for computer-aided drug discovery and other areas of chemical science. However, high computational complexity limits the scalability of their applica ...
Neural information processing systems foundation2024
The decarbonization of the built environment requires rapid growth in energy storage solutions due to the intermittent nature of most renewable energy sources. This paper focuses on the efficacy of so-called energy tunnels (i.e., tunnels equipped with pipe ...
Non-Newtonian fluids are present in most manufacturing industry processes. Computa-tional models used to describe the rheological behavior of such materials can be costly due to the non-linear behavior of the viscosity. This work presents a parametrized pr ...
New detectors for future high-energy physics experiments will operate under unprecedented radiation dose rates. This condition requires improved radiation resistance on detector equipment. The consequent development of new materials, particularly optical m ...
The arrangement of nanoscale building blocks into patternswithmicroscale periodicity is challenging to achieve via self-assemblyprocesses. Here, we report on the phase-transition-driven collectiveassembly of gold nanoparticles in a thermotropic liquid crys ...
Multimetallic nanoparticles are of interest as functional materials due to their highly tunable properties. However, synthesizing congruent mixtures of immiscible components is limited by the need for high-temperature procedures followed by rapid quenching ...
