Materials Science and Physics, fostering sound scientific discovery to solve practical problems. The journal encourages quality, scientifically valid, original research which presents a good understanding of scientific knowledge, experiments and theories, methods and techniques, as well as interdisciplinary lin...
3.4.2Biocrude yield prediction using machine learning In the realm of HTL technology, the precise estimate of biocrude yield is essential for the competent design and optimization of the processes of chemical conversions. Traditionally, empirical and mechanistic models have been employed for this purpo...
White House Office of Science and Technology Policy (OSTP) (2019) Executive order no. 13.859, maintaining American leadership in artificial intelligence, 84 Fed. Reg. 3967. https://www.whitehouse.gov/presidential-actions/executive-order-maintaining-american-leadership-artificial-intelligence/. Accessed ...
Adopting this approach allowed us to improve the understanding of the value of research based on mixed methods, as well as to enlarge social science research with a limited number of this type of study (Filieri et al. 2021) that provides a more complete picture of the phenomenon under resear...
2. Structure generation (or inverse problem design): Given properties of interest, predict polymeric structures that may demonstrate 1Department of Chemistry, Duke University, Durham, NC, USA. 2Thomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, USA. ...
section, pointing at relevant literature on the topic, the present study brings light further on our objective: to aim research and analysis in the proposed areas under three variables, trust, security and perceived risk, all of these variables departing from current models as part of UTAUT2 ...
[2] in the area of behavior-based systems. These design principles aim to reduce the complexity of the tasks and allow to build a complex controller incrementally. Similarly, in the area of reinforcement learning, there exist approaches such as hierarchical reinforcement learning, which is based ...
Support Vector Machine (SVM) and its variants are gaining momentum among the Machine Learning community. In this paper, we present a quantitative analysis
2. Deslauriers L, Schelew E, Wieman C. Improved learning in a large-enroll‑ ment physics class. Science. 2011;332:862–4. https://doi.org/10.1126/ science.1201783. 3. Mok HN. Teaching tip: the flipped classroom. J Inf Syst Educ. 2014;25:7–11....
businesses, and policymakers, we can help them make better choices. If economics is the science of studying how people use various, limited means available