Publication

Production of fragments of lignin with functional groups

Jeremy Luterbacher, Stefania Bertella, Graham Reid Dick
2021
Patents

Abstract

The present invention relates to a method for producing fragments of lignin with functional groups.

Official source

https://infoscience.epfl.ch/entities/publication/5d0e7a07-3079-42ad-8bfe-4a464b40da7a

About this result

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Jeremy Luterbacher, Stefania Bertella, Graham Reid Dick
2021
Patents

Abstract

The present invention relates to a method for producing fragments of lignin with functional groups.

Official source

https://infoscience.epfl.ch/entities/publication/5d0e7a07-3079-42ad-8bfe-4a464b40da7a

About this result

Related concepts (10)

Euler method

In mathematics and computational science, the Euler method (also called the forward Euler method) is a first-order numerical procedure for solving ordinary differential equations (ODEs) with a given initial value. It is the most basic explicit method for numerical integration of ordinary differential equations and is the simplest Runge–Kutta method. The Euler method is named after Leonhard Euler, who first proposed it in his book Institutionum calculi integralis (published 1768–1870).

Iterative method

In computational mathematics, an iterative method is a mathematical procedure that uses an initial value to generate a sequence of improving approximate solutions for a class of problems, in which the n-th approximation is derived from the previous ones. A specific implementation with termination criteria for a given iterative method like gradient descent, hill climbing, Newton's method, or quasi-Newton methods like BFGS, is an algorithm of the iterative method.

Heun's method

In mathematics and computational science, Heun's method may refer to the improved or modified Euler's method (that is, the explicit trapezoidal rule), or a similar two-stage Runge–Kutta method. It is named after Karl Heun and is a numerical procedure for solving ordinary differential equations (ODEs) with a given initial value. Both variants can be seen as extensions of the Euler method into two-stage second-order Runge–Kutta methods.

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