Results 91 to 100 of about 2,147,957 (198)

Computational Complexity in the Design of Voting Rules [PDF]

This paper discusses an aspect of computational complexity in social choice theory. We consider the problem of designing voting rules, which is formulated in terms of simple games.
Akira Tanaka, Koji Takamiya
core  

Influences of Ga3+ doping content on microstructure and interfacial polarization in colossal permittivity GayNb0.025Ti0.975-yO2 ceramics

International Journal of Smart and Nano Materials
Colossal permittivity (CP) materials, particularly co–doped TiO2 ceramics, have garnered significant attention for their potential in high–performance ceramic capacitors.
Wattana Tuichai, Nutthakritta Phromviyo, Navadecho Chankhunthod, Pornjuk Srepusharawoot, Prasit Thongbai   +4 more
doaj   +1 more source

Using Computational Agents to Design Participatory Social Simulations [PDF]

In social science, the role of stakeholders is increasing in the development and use of simulation models. Their participation in the design of agent-based models (ABMs) has widely been considered as an efficient solution to the validation of this ...
Alexis Drogoul, Minh Nguyen-Duc
core  

Probing the effects of broken symmetries in machine learning

Machine Learning: Science and Technology
Symmetry is one of the most central concepts in physics, and it is no surprise that it has also been widely adopted as an inductive bias for machine-learning models applied to the physical sciences.
Marcel F Langer, Sergey N Pozdnyakov, Michele Ceriotti   +2 more
doaj   +1 more source

Exploring Macrocyclic Chemical Space: Strategies and Technologies for Drug Discovery

Pharmaceuticals
Macrocycles have emerged as significant therapeutic candidates in drug discovery due to their unique capacity to target complex and traditionally inaccessible biological interfaces.
Taegwan Kim, Eunbee Baek, Jonghoon Kim
doaj   +1 more source

Computational wing design studies relating to natural laminar flow [PDF]

Two research studies are described which directly relate to the application of natural laminar flow (NLF) technology to transonic transport-type wing planforms.
Waggoner, Edgar G.
core   +1 more source

Accelerating ab initio melting property calculations with machine learning: application to the high entropy alloy TaVCrW

npj Computational Materials
Melting properties are critical for designing novel materials, especially for discovering high-performance, high-melting refractory materials. Experimental measurements of these properties are extremely challenging due to their high melting temperatures.
Li-Fang Zhu, Fritz Körmann, Qing Chen, Malin Selleby, Jörg Neugebauer, Blazej Grabowski   +5 more
doaj   +1 more source

Comprehensive and Dedicated Metrics for Evaluating AI-Generated Residential Floor Plans

Buildings
In response to the growing importance of AI-driven residential design and the lack of dedicated evaluation metrics, we propose the Residential Floor Plan Assessment (RFP-A), a comprehensive framework tailored to architectural evaluation.
Pengyu Zeng, Jun Yin, Yan Gao, Jizhizi Li, Zhanxiang Jin, Shuai Lu   +5 more
doaj   +1 more source

Accelerating point defect photo-emission calculations with machine learning interatomic potentials

npj Computational Materials
We introduce a computational framework leveraging universal machine learning interatomic potentials (MLIPs) to dramatically accelerate the calculation of photoluminescence (PL) spectra of atomic or molecular emitters with ab initio accuracy. By replacing
Kartikeya Sharma, Antoine Loew, Haiyuan Wang, Fredrik A. Nilsson, Manjari Jain, Miguel A. L. Marques, Kristian S. Thygesen   +6 more
doaj   +1 more source

A Form-Finding and Multi-Objective Optimization Approach for Discrete Shell Design Studies

Journal of Architectural Sciences and Applications
This study presents an adaptive computational technique that applies form-finding, assesses structural performance, and optimizes architectural form and production cost for discrete shell design.
Arda Ağırbaş, Seçkin Kutucu
doaj   +1 more source