Sort by
Refine Your Search
-
of solvation, redox potentials, pKa, spectroscopic observables, enzyme kinetics, etc) for these processes provide a rigorous framework for the validation of novel computational methods. Computational methods
-
the limits of applicability for specific systems and produce a unified database of reliable thermodynamic properties. Thermodynamics Research Center can provide its database, library access, software for data
-
guiding materials measurement experiments to acclerate learning the synthesis-process-structure-property relationship. Machine learning methods include, but are not limited to, Bayesian inference
-
tabulated in x-ray fundamental parameter’s databases. The success of the fundamental parameter method for quantitative analysis depends on the accuracy and completeness of the tabulations of the used
-
challenge to design around. This project will focus on microstructural modeling approaches, including both conventional phase field, phase field crystal; and level set methods, to understand the evolution
-
ionization MS, and/or related approaches) and complementary methods for the characterization of micro- and nanoplastics (MNPs). Analytical approaches for the measurement of MNPs from complex matrices will take
-
, exploring methods for downscaling indicators, and identification of policies impacting resilience outcomes. The team is also interested in the quantitative measurement of disaster recovery for communities and
-
characterization tools for closed loop experiment design, execution, and analysis, where experiment design is guided by active learning, Bayesian optimization, and similar methods. A key challenge is the integration
-
that emit charged particles upon neutron capture. Research topics include method development, focusing on improved specificity, accuracy, sensitivity, and spatial resolution through detailed studies
-
, this project will employ emerging proteomics techniques (such as data-independent acquisition) and will be working alongside software and algorithm developers to ensure that these platforms can be used beyond