Machine-learned potentials (MLPs) have exhibited remarkable accuracy, yet the lack of general-purpose MLPs for a broad spectrum of elements and their alloys limits their applicability. Here, we present a promis
The most common technique for defining a WBS is to use the product breakdown structure to identify the effort necessary to define, design, implement, and test the various parts of the product, and perform assembly, integration, and testing of components. This permits each of the project organiza...
Parameter uncertainties denote input data in the computational model which are not precisely known and must be expected to deviate from the assumed deterministic values. Model uncertainties denote the fidelity of the mathematical model, which involves usually some abstraction and simplifying assumptions, ...
The noisy and high-dimensional nature of biological data has spawned advanced clustering algorithms that are tailored for specific biological datatypes. However, the performance of such methods varies greatly between datasets and they require post hoc tu
This study aimed to (1) describe psychometric properties of clinical outcome assessment for Rett syndrome and (2) identify what is needed to ensure that fit-for-purpose clinical outcome assessments are available for clinical trials. Methods Clinical outcome assessments for the top 10 priority domains...
After testing a total of 192 hyperparameter combinations to rule out model architecture issues, the best RMSE that could be achieved was 5.08 kcal/min, yielding a 146%CV, which is far beyond any acceptable limit for real-world accuracy. While falling short of the best performing XGBoost model...
(SNAP) is a general purpose, high performance system for analysis and manipulation of large networks. SNAP is written in C++ and it scales to massive graphs with hundreds of millions of nodes and billions of edges. /// Directory structure:http://snap.stanford.edu/snap/description.htmlsnap-cor...
It has been demonstrated that the joint inversion (i.e., simultaneous history matching) of different flow and transport observations can reduce the ambiguity of the inversion, i.e., parameter uncertainty and model nonuniqueness in single continuum models (Gailey et al.1991; Harvey and Gorelick1995...
The Tenebrio molitor has become the first insect added to the catalogue of novel foods by the European Food Safety Authority due to its rich nutritional value and the low carbon footprint produced during its breeding. The large scale of Tenebrio molitor breeding makes automation of the process, ...
The experimental facility of Georgia Institute of Technology ASTROS [12] allows for realistic testing of spacecraft Autonomous Rendezvous and Docking (ARD) maneuvers with 5-DoFs. Its main objective is to test vision-based spacecraft pose estimation, navigation and guidance algorithms. The facility ha...