Results 131 to 140 of about 150,984 (329)
Angular coefficients from interpretable machine learning with symbolic regression
We explore the use of symbolic regression to derive compact analytical expressions for angular observables relevant to electroweak boson production at the Large Hadron Collider (LHC).
Josh Bendavid +4 more
doaj +1 more source
An Integrated Method for Determination of the Oswald Factor in a Multi-Fidelity Design Environment [PDF]
Aircraft conceptual design often focuses on unconventional configurations like for example forward swept wings. Assessing the characteristics of these configurations usually requires the use of physic based analysis modules.
Böhnke, Daniel +5 more
core
Generalizability of Functional Forms for Interatomic Potential Models Discovered by Symbolic Regression [PDF]
Alberto Hernandez, Tim Mueller
openalex +1 more source
Transition metal oxy/carbo‐nitrides show great promise as catalysts for sustainable processes. A Mn‐Mo mixed‐metal oxynitride attains remarkable performance for the direct synthesis of acetonitrile, an important commodity chemical, via sequential C─N and C─C coupling from syngas (C1) and ammonia (N1) feedstocks.
M. Elena Martínez‐Monje +7 more
wiley +1 more source
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu +3 more
wiley +1 more source
Discovering equations from data: symbolic regression in dynamical systems
The process of discovering equations from data lies at the heart of physics and in many other areas of research, including mathematical ecology and epidemiology.
Beatriz R Brum +3 more
doaj +1 more source
Automated Regression Testing using Symbolic Execution
The aim of this paper is to describe a way to construct tests which validate that changes made during software evolution did not introduce regression faults. Developers usually run a new version of the program against the same set of tests. In order to achieve this goal, symbolic execution was used for test input generation and full structural code ...
Barisas, D. +3 more
openaire +2 more sources
Light‐Induced Entropy for Secure Vision
This work realized a ternary true random number generator by exploiting stochastic traps emerging within multiple junction interfaces, and quantitatively validated the generation of high‐quality random numbers. Furthermore, it successfully demonstrated diverse applications, including AI‐resilient image security, thereby providing a valuable guide for ...
Juhyung Seo +9 more
wiley +1 more source
Analysis and prediction of carbon emission factors based on genetic programming
In recent years, frequent extreme weather events such as storms and floods globally have made carbon emission reduction a critical issue for addressing environmental challenges through sustainable green pathways.
Wenchao Pan +5 more
doaj +1 more source
This work reports a direct, biocompatible method to synthesize UiO‐66, enabling one‐step encapsulation of proteins without compromising crystallinity or activity. Using advanced in situ and ex situ techniques, the study reveals that proteins integrate concurrently with MOF growth, forming crystalline protein@UiO‐66 nanoparticles, and provide insight ...
Jesús Cases Díaz +5 more
wiley +1 more source

