25 papers · ranked by Valyu relevance
Zhimian Hao, Magda Barecka, Alexei Lapkin
Net zero requires an accelerated transition from fossil fuels to renewables. Carbon capture and utilization (CCU) can be an effective intermediate solution for the decarbonization of fossil fuels. However, many research works contain renewables in the design of CCU systems, which may mislead stakeholders regarding the…
Omid Mokhtari, Samuel Chevalier, Mads Almassalkhi
—Network reduction simplifies complex electrical networks to address computational challenges of large-scale transmission and distribution grids. Traditional network reduction methods are often based on a predefined set of nodes or lines to remain in the reduced network. This paper builds upon previous work on Optimal…
Na Zhang, Dongmei Wang, Kai Li, Kaiyang Wei + 3 more
'Manzhi Yang' 'Reza Teimouri'] Achieving high-precision positioning operations in a small space was of great significance in aerospace, biomedical, and other fields. In order to obtain smaller displacements with higher accuracy, this paper focused on the design, optimization, and performance analysis of a two-stage…
Jordan T. Sturdy, Anne K. Silverman, Nathan T. Pickle
The residual reduction algorithm (RRA) in OpenSim improves dynamic consistency of movement simulations of musculoskeletal models. RRA requires the user to select numerous tracking weights for the joint kinematics to reduce residual errors. Selection is often performed manually, which can be time-consuming and is…
Boon Xian Chai, Boris Eisenbart, Mostafa Nikzad, Bronwyn Fox + 12 more
'Yuqi Wang' 'Kyaw Hlaing Bwar' 'Kaiyu Zhang' 'Marcin Sosnowski' 'Jaroslaw Krzywanski' 'Karolina Grabowska' 'Dorian Skrobek' 'Ghulam Moeen Uddin' 'Yunfei Gao' 'Anna Zylka' 'Anna Kulakowska' 'Bachil El Fil'] The utilisation of numerical process simulation has greatly facilitated the challenging task of liquid composite…
Shannon Bonke, Giovanni Trezza, Luca Bergamasco, Hongwei Song + 4 more
The sunlight-driven reduction of CO2 into fuels and platform chemicals is a promising approach to enable a circular economy. However, established optimisation approaches are poorly suited to multi-variable multi-metric photocatalytic systems because they aim to optimise one performance metric while sacrificing the…
Matthew S. Schmitt, Maciej Koch-Janusz, Michel Fruchart, Daniel S. Seara + 2 more
Model reduction is the construction of simple yet predictive descriptions of the dynamics of many-body systems in terms of a few relevant variables. A prerequisite to model reduction is the identification of these relevant variables, a task for which no general method exists. Here, we develop a systematic approach…
Feng Zou, Xia Wang, Weilin Zhang, Qingshui Shi + 3 more
'Heming Jia' 'Gang Hu'] Within computer-aided geometric design (CAGD), Said-Ball curves are primarily adopted in domains such as 3D object skeleton modeling, vascular structure repair, and path planning, owing to their flexible geometric properties. Techniques for curve degree reduction seek to reduce computational and…
Tianyi Chen, Zhi‐Qin John Xu
Neural networks have been extensively applied to a variety of tasks, achieving astounding results. Applying neural networks in the scientific field is an important research direction that is gaining increasing attention. In scientific applications, the scale of neural networks is generally moderate size, mainly to…
Chattriya Jariyavajee, Suthida Fairee, Charoenchai Khompatraporn, Jumpol Polvichai + 2 more
'Jumpol Polvichai' 'Booncharoen Sirinaovakul' 'Sakdirat Kaewunruen'] This study addresses a cutting stock problem in steel cutting industry by developing a mathematical model in which machine specifications and cutting conditions are constraints. The solution process involves three key steps: (i) Problem…
Andrea Serani, Matteo Diez
Optimization Authors: ['Andrea Serani' 'Matteo Diez'] The rapidly evolving field of engineering design of functional surfaces necessitates sophisticated tools to manage the inherent complexity of high-dimensional design spaces. This review delves into the field of design-space dimensionality reduction techniques…
Athanasios Antonakoudis, Anne Richelle
Genome-scale metabolic models (GEMs) enable mechanistic insight into cellular metabolism, but their size and underdetermination hinder use in dynamic bioprocess simulation and real-time digital twins. Compact models are essential, yet existing reduction strategies either neglect experimental uncertainty, rely on…
Zhaoping Tang, Menghui Lu, Manyu Wang, Jianping Sun + 1 more
The vibration and radiation noise characteristics of the gear transmission system are different under different traction conditions, and the gear modification optimization scheme based on a single working condition is not suitable for the operating environment under all working conditions. To modify the traction gear…
Ignacio Tapia García, Cristóbal Torrealba, Ricardo Luna, José Ricardo Pérez-Correa + 1 more
Dynamic Flux Balance Analysis (DFBA) enables simulation of microbial culture dynamics under changing environmental conditions, but remains computationally expensive for tasks such as parameter calibration and fermentation optimization when applied using genome-scale metabolic models (GEMs). To address this challenge…
Anurag Singh, Shekhar Yadav, Nitesh Tiwari, Dinesh Kumar Nishad + 1 more
'Saifullah Khalid'] Load frequency control (LFC) systems in power grids face challenges in maintaining stability while managing computational complexity. This research presents an optimized approach combining model order reduction techniques with Teaching Learning-Based Optimization (TLBO) for PID controller tuning in…
Yao Lu, Peixin Zhang, Jingyi Wang, Lei Ma + 2 more
Effectively Authors: ['Yao Lu' 'Peixin Zhang' 'Jingyi Wang' 'Lei Ma' 'Xiaoniu Yang' 'Qi Xuan'] Deep learning has revolutionized computing in many realworld applications, arguably due to its remarkable performance and extreme convenience as an end-to-end solution. However, deep learning models can be costly to train and…
Guillermo Hiyane-Nashiro, Maricruz Hernández-Hernández, José Rojas-García, Juvenal Rodriguez-Resendiz + 4 more
'José Rojas-García' 'Juvenal Rodriguez-Resendiz' 'José Manuel Álvarez-Alvarado' 'Jorge Manuel Mercado-Colmenero' 'Cristina Martín-Doñate' 'Miguel Ángel Rubio-Paramio'] The consumer market has changed drastically in recent times. Consumers are becoming more demanding, and many companies are competing to be market…
Riley Hickman, Priyansh Parakh, Austin Cheng, Qianxiang Ai + 3 more
Experiment planning algorithms are a required component of autonomous platforms for scientific discovery. Selecting a suitable optimization algorithm for a novel application is an important yet difficult choice a researcher has to make based on past empirical performance on similar tasks. To facilitate the evaluation…
Sterling Baird, Jason R. Hall, Taylor D. Sparks
Would you rather search for a line inside a cube or a point inside a square? This type of solution degeneracy often exists in physics-based simulations and wet-lab experiments, but constraining these degeneracies is often unsupported or difficult to implement in many optimization packages, requiring additional time and…
Danielle T. Bennett, Anne S. Meyer
Shewanella oneidensis (S. oneidensis) has the capacity to reduce electron acceptors within a medium and is thus used frequently in microbial fuel generation, pollutant breakdown, and nanoparticle fabrication. Microbial fuel setups, however, often require costly or labor-intensive components, thus making optimization of…
Jake Weiner, Andreas T. Ernst, Xiaodong Li, Yuan Sun
Solving large-scale Mixed Integer Programs (MIP) can be difficult without advanced algorithms such as decomposition based techniques. Even if a decomposition technique might be appropriate, there are still many possible decompositions for any large MIP and it may not be obvious which will be the most effective. This…
Andrés Camilo Sevilla-Moreno, María Eugenia Puerta-Yepes, Niklas Wahl, Rafael Benito-Herce + 4 more
Title: Simple Summary Cancer treatment using radiotherapy aims to destroy tumors with high-energy radiation while minimizing damage to healthy tissues. However, small variations in patient positioning or internal organ movement can make treatments less effective or increase side effects. To manage these uncertainties…
Zan Lian, Federico Dattila, Núria López
Oxide-derived Cu (OD-Cu) catalysts have shown an excellent ability to ensure C-C coupling in the electrochemical carbon dioxide reduction reaction (eCO2RR). However, these materials extensively rearrange under reaction conditions, thus the nature of the active site remains controversial. Here, we studied the reduction…
Authors not listed
With the ever-increasing demand for atomistic structures representative of real-life systems as well as the ad-vent of exascale computers, it has now become necessary and possible to use advanced global optimization (GO) techniques to intelligently sample the potential energy surface (PES). Given the previous studies…
Ahmed, Aram M., Hassan, Bryar A. + 10 more
This paper presents a multi-objective version of the Cat Swarm Optimization Algorithm called the Grid-based Multiobjective Cat Swarm Optimization Algorithm (GMOCSO). Convergence and diversity preservation are the two main goals pursued by modern multi-objective algorithms to yield robust results. To achieve these…