Search · four archives
Search · four archives
21 papers · ranked by Valyu relevance
Qiming Liao, Quan Qiu, Jie Gao, Qiang Liu + 6 more
Structure-based forest management (SBFM) has emerged as an innovative silvicultural approach that optimizes the spatial arrangement of trees to emulate natural forest structures and promote sustainability. Despite increasing applications of SBFM, a comprehensive synthesis of its impacts on stand quality and the…
Jian Zhao, Jianming Wang, Jiting Yin, Yuling Chen + 1 more
Introduction The rational structure of forest stands plays a crucial role in maintaining ecosystem functions, enhancing community stability, and ensuring sustainable management. Although progress has been made in stand structure optimization, most existing studies focus on static improvements and fail to adequately…
Jianming Wang, Chenyang Lv, Jiting Yin, Yuling Chen + 2 more
Introduction Secondary forests are often characterized by irrational stand structures and spatial imbalances, which constrain the full realization of their ecological functions. Existing deep learning approaches for stand structure optimization still face several limitations, including low computational efficiency…
Natacha Savine, Thomas Cordonnier, Gauthier Ligot, Patrick Vallet
Tree height is a key variable for assessing forest functioning and resources (e.g volume, carbon stocks) at both tree and stand levels. However, direct field measurements are costly and time-consuming. Developing accurate and unbiased height-diameter allometries applicable over large spatial scales is therefore crucial…
Aditya Narkhede, Erick Rivas, Kevin Wang
The design of structures and vehicles subject to fluid-structure interaction (FSI) often requires high-fidelity coupled analysis. While the design variables pertain to the structure, the computational cost is dominated by the fluid solver, making iterative optimization prohibitively expensive. This paper presents an…
Meijun Shang, Xuemei Li, Zhipeng Zhao
Heavy lifting operations performed on basement roof slabs often impose concentrated loads that may cause local stress concentrations, cracking, or even structural failure. To address this issue, this study proposes a heavy-load transfer steel platform supported by basement columns, which effectively isolates the…
Zhangyong Liang, Huanhuan Gao
Categorical structural optimization under aleatoric uncertainty is challenging because each design variable must be selected from a finite catalog of admissible instances, while each candidate design may require expensive stochastic finite-element evaluations. Existing latent-space optimization strategies can reduce…
Shuzhi Xu, Yifan Guo, Hiroki Kawabe, Kentaro Yaji
Multiscale topology optimization is crucial for designing porous infill structures with high stiffness-toweight ratios and excellent energy absorption. Although gradient-based methods provide a rigorous framework, they are computationally expensive and struggle to capture cross-scale sensitivities in nonlinear…
Authors not listed
This article presents an overview about the state of the art in the development of structured packings for distillation applications. The focus is on highlighting different approaches including heuristic development cycles, the development of new packing structures, 3D-printing as tool for manufacturing, and…
Aiman H. H. Al-Masoodi, Nasir Shafiq, Abtisam Hasan Hamood Al-Masoodi
Recently, there has been advancement in tall building design to achieve lighter structures, which led to an increase in the challenges that are related to wind resistance and cost efficiency. This study is to provide multi-optimization gathering between the aerodynamic optimization with a radial basis function…
Xinyu Ma, Chengxin Wang, Meng Wang, Xu Guo + 2 more
- A novel explicit framework, Gaussian Ensemble Topology (GET), represents geometry as a superposition of anisotropic Gaussian functions, producing inherently smooth and curvature-continuous designs without postprocessing or feature extraction. - Demonstrated on classical compliance-minimization and compliant mechanism…
Igor Rodríguez, Maria Laura Santoni, Fabian Duddeck, Carola Doerr + 2 more
Benchmarking is essential for developing and evaluating black-box optimization algorithms, providing a structured means to analyze their search behavior. Its effectiveness relies on carefully selected problem sets used for evaluation. To date, most established benchmark suites for black-box optimization consist of…
Max Ward, Mary Richardson, Haining Lin, Michael Stamm + 7 more
mRNA medicines hold great promise, but designing sequences with high translation efficiency, robust in-solution stability, and manufacturability remains a major challenge due to the vast combinatorial space of synonymous coding sequences. Computational approaches such as mRNA folding algorithms have emerged as powerful…
Odin Zhang, Jiaqi Wang, Tuscan Rock Thompson, Ziyi You + 3 more
Biomolecular interactions, including protein–protein interactions, protein–nucleic acid recognition, and protein–small molecule binding, underlie a wide range of biological processes and therapeutic mechanisms. Although recent de novo design methods can generate candidate binders for diverse molecular targets…
Authors not listed
We demonstrate the numerical optimization and design of thermal emission metasurfaces that selectively radiate mid-infrared (mid-IR) circularly-polarized light. The proposed three-dimensional chiral structure, formed by the multilayer stacking of antenna elements, inherently exhibits circular polarization selectivity…
Piyush Agrawal, Manish Agrawal
The properties of lattice-based structures can be enhanced by varying their geometric parameters in a graded manner, and the gradation can be tailored to extremize a particular objective. In this manuscript, we propose a non-gradient-based optimization framework to find the tailor-made graded profiles for lattice-based…
Authors not listed
Finding the most stable adsorption geometry of a flexible molecule on a catalytic surface remains a key challenge due to the high dimensionality and ruggedness of the potential energy surface. We present a Gradient-Enhanced Genetic Algorithm (GE-GA) for the global optimization of adsorbate–surface configurations…
Yang Geng, Jaap H. van Dieën, Sjoerd M. Bruijn
Intrinsic mechanisms and feedback control act together to stabilize the body in upright tasks. In unperturbed standing and walking, their combined effects can be captured by lumped stabilization models, relating delayed center of mass position and velocity information to current ground reaction forces. If and how…
Authors not listed
Continuous manufacturing processes offer significant advantages over batch processes, including easier scalability, reduced costs, lower raw material and solvent consumption, and improved energy efficiency. A robust techno-economic assessment is therefore essential to evaluate and facilitate the adoption of such…
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We present an open source collection of scripts and programs for the setup, management and evaluation of calculations with the Vienna ab-initio simulation package (VASP), called utils4VASP. It contains 20 independent Python scripts and Fortran programs, all with a unified and intuitive handling concept based on command…
Madeline Gunawardena, Bao Chau, Hayden Nothacker, Rudra Pangeni + 3 more
Oral microemulsions are one drug delivery system often implemented to improve intestinal permeability and oral bioavailability of poorly-water soluble drugs. They also present several practical advantages including high patient compliance and simplified manufacturing methods which contribute to their promise as…