Modern machine learning for tackling inverse problems in chemistry: molecular design to realization

B Sridharan, M Goel, UD Priyakumar - Chemical Communications, 2022 - pubs.rsc.org
The discovery of new molecules and materials helps expand the horizons of novel and
innovative real-life applications. In pursuit of finding molecules with desired properties …

Data-informed inverse design by product usage information: a review, framework and outlook

L Hou, RJ Jiao - Journal of Intelligent Manufacturing, 2020 - Springer
A significant body of knowledge exists on inverse problems and extensive research has
been conducted on data-driven design in the past decade. This paper provides a …

Determination of an optimal control strategy for vaccine administration in COVID-19 pandemic treatment

GB Libotte, FS Lobato, GM Platt, AJS Neto - Computer methods and …, 2020 - Elsevier
Background and objective For decades, mathematical models have been used to predict the
behavior of physical and biological systems, as well as to define strategies aiming at the …

[HTML][HTML] Reconstruction of aerothermal heating for the thermal protection system of a reusable launch vehicle

R Brociek, E Hetmaniok, D Słota - Applied Thermal Engineering, 2023 - Elsevier
The aim of this paper is to reconstruct the aerothermal heating profile for a three-layered
thermal protection system of a reusable launch vehicle (RLV). Computational methods …

Deep learning for flow sculpting: Insights into efficient learning using scientific simulation data

D Stoecklein, KG Lore, M Davies, S Sarkar… - Scientific reports, 2017 - nature.com
A new technique for shaping microfluid flow, known as flow sculpting, offers an
unprecedented level of passive fluid flow control, with potential breakthrough applications in …

Performance analysis and feasibility study of ant colony optimization, particle swarm optimization and cuckoo search algorithms for inverse heat transfer problems

K Mulani, P Talukdar, A Das, R Alagirusamy - International Journal of …, 2015 - Elsevier
In the present work, three recently developed metaheuristic algorithms (ant colony
optimization, cuckoo search and particle swarm optimization) are examined for a class of …

Deep unfolding with normalizing flow priors for inverse problems

X Wei, H Van Gorp… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Many application domains, spanning from computational photography to medical imaging,
require recovery of high-fidelity images from noisy, incomplete or partial/compressed …

A fuzzy weighted relative error support vector machine for reverse prediction of concrete components

Z Fan, R Chiong, Z Hu, Y Lin - Computers & Structures, 2020 - Elsevier
Concrete is one of the most commonly used construction materials in civil engineering.
Being able to accurately predict concrete components based on concrete strength, slump …

Mathematical modelling of the second wave of COVID-19 infections using deterministic and stochastic SIDR models

FS Lobato, GB Libotte, GM Platt - Nonlinear Dynamics, 2021 - Springer
Recently, various countries from across the globe have been facing the second wave of
COVID-19 infections. In order to understand the dynamics of the spread of the disease …

A minimum-of-maximum relative error support vector machine for simultaneous reverse prediction of concrete components

J Gou, ZW Fan, C Wang, WP Guo, XM Lai… - Computers & …, 2016 - Elsevier
The simultaneous reverse prediction of multiple concrete components is very difficult, but
very important in practical engineering applications. Thus, this paper presents a variant …