Results 111 to 120 of about 150,984 (329)
Operational modal analysis using symbolic regression for a nonlinear vibration system [PDF]
, 2020 Xuchu Jiang, Feng Jiang
openalex +1 more source
3D‐Printed Porous Hydroxyapatite Formed via Enzymatic Mineralization
Advanced Functional Materials, EarlyView.Bone combines lightness, strength, and the ability to heal, inspiring new materials design. This work introduces a room‐temperature, enzyme‐mediated 3D printing method to create porous hydroxyapatite scaffolds. The process avoids energy‐intensive sintering, preserves bioactivity, and allows control over porosity and mineralization.
Francesca Bono +6 more
wiley +1 more source
Fast, accurate, and transferable many-body interatomic potentials by symbolic regression
, 2019 The length and time scales of atomistic simulations are limited by the computational cost of the methods used to predict material properties. In recent years there has been great progress in the use of machine learning algorithms to develop fast and ...
Balasubramanian, Adarsh +4 more
core
A Low-Cost Robot Science Kit for Education with Symbolic Regression for Hypothesis Discovery and Validation [PDF]
, 2022 Logan Saar +6 more
openalex +1 more source
Adaptive Hydrogels With Spatiotemporal Stiffening Using pH‐Modulating Enzymes
Advanced Functional Materials, EarlyView.The chemomechanical coupling in an adaptive hydrogel is studied to further the development of adaptive hydrogels. This coupling is achieved by embedding a pH‐modulating enzyme in a pH‐responsive hydrogel. The enzymatic reaction can be triggered locally, which generates a pH‐decreasing wave throughout the system, increasing the crosslinking density and ...
Natascha Gray +3 more
wiley +1 more source
A divide and conquer method for symbolic regression
, 2017 Symbolic regression aims to find a function that best explains the relationship between independent variables and the objective value based on a given set of sample data.
Chen, Chen +2 more
core
Data Aggregation for Reducing Training Data in Symbolic Regression [PDF]
, 2020 Lukas Kammerer +2 more
openalex +1 more source
Globally Optimal Symbolic Regression
, 2017 In this study we introduce a new technique for symbolic regression that guarantees global optimality. This is achieved by formulating a mixed integer non-linear program (MINLP) whose solution is a symbolic mathematical expression of minimum complexity that explains the observations. We demonstrate our approach by rediscovering Kepler's law on planetary
Austel, Vernon +6 more
openaire +2 more sources
Advanced Functional Materials, EarlyView.ABSTRACT Materials that can deform, sense, and autonomously generate power in response to wireless magnetic fields, through both magnetic‐actuated shape transformation and charge generation, are an emerging focus in advanced functional materials research.
Zhi Zhao, Xiaojia Shelly Zhang
wiley +1 more source