Adaptive Strategies for Materials Design using Uncertainties

Adaptive Strategies for Materials Design using Uncertainties

We compare several adaptive design strategies using a data set of 223 M2AX family of compounds for which the elastic properties [bulk (B), shear (G), and Young's (E) modulus] have been computed using density functional theory. The design strategies are decomposed into an iterative loop with two main steps: machine learning is used to train a regressor that predicts elastic properties in terms o...

Fostering strategies in materials design.

Design of a Model Reference Adaptive Controller Using Modified MIT Rule for a Second Order System

Sometimes conventional feedback controllers may not perform well online because of the variation in process dynamics due to nonlinear actuators, changes in environmental conditions and variation in the character of the disturbances. To overcome the above problem, this paper deals with the designing of a controller for a second order system with Model Reference Adaptive Control (MRAC) scheme usi...

Accelerated search for materials with targeted properties by adaptive design

Finding new materials with targeted properties has traditionally been guided by intuition, and trial and error. With increasing chemical complexity, the combinatorial possibilities are too large for an Edisonian approach to be practical. Here we show how an adaptive design strategy, tightly coupled with experiments, can accelerate the discovery process by sequentially identifying the next exper...

Using Metamodels for Modelling the Propagation of Design Uncertainties

In the early stages of the design process, the designer has only a rough knowledge of the form of the design. Many design parameters may only be known within a certain range. As a consequence, product functionality is uncertain, the degree to which specific product functionality contributes to meeting overall customer and other stakeholder needs is known only imprecisely, as are the needs thems...