Zobrazeno 1 - 10
of 4 557
pro vyhledávání: '"A Yuwono"'
We present an implementation of relativistic ionization-potential (IP) equation-of-motion coupled-cluster (EOMCC) with up to 3-hole--2-particle (3h2p) excitations that makes use of the molecular mean-field exact two-component (mmfX2C) framework and t
Externí odkaz:
http://arxiv.org/abs/2411.07341
In this study, we introduce Modular State-based Stackelberg Games (Mod-SbSG), a novel game structure developed for distributed self-learning in modular manufacturing systems. Mod-SbSG enhances cooperative decision-making among self-learning agents wi
Externí odkaz:
http://arxiv.org/abs/2410.22912
This paper explores the application of deep reinforcement learning (RL) techniques in the domain of autonomous self-driving car racing. Motivated by the rise of AI-driven mobility and autonomous racing events, the project aims to develop an AI agent
Externí odkaz:
http://arxiv.org/abs/2410.22766
This article describes a novel game structure for autonomously optimizing decentralized manufacturing systems with multi-objective optimization challenges, namely Distributed Stackelberg Strategies in State-Based Potential Games (DS2-SbPG). DS2-SbPG
Externí odkaz:
http://arxiv.org/abs/2408.06397
This paper presents a novel transfer learning approach in state-based potential games (TL-SbPGs) for enhancing distributed self-optimization in manufacturing systems. The approach focuses on the practical relevant industrial setting where sharing and
Externí odkaz:
http://arxiv.org/abs/2408.05992
In the fabrication of optical fibres, the viscosity of the glass varies dramatically with temperature so that heat transfer plays an important role in the deformation of the fibre geometry. Surprisingly, for quasi-steady drawing, with measurement of
Externí odkaz:
http://arxiv.org/abs/2406.12170
In this paper, we introduce novel gradient-based optimization methods for state-based potential games (SbPGs) within self-learning distributed production systems. SbPGs are recognised for their efficacy in enabling self-optimizing distributed multi-a
Externí odkaz:
http://arxiv.org/abs/2406.10015
Autor:
Yuwono, Stephen H., Li, Run R., Zhang, Tianyuan, Surjuse, Kshitijkumar A., Valeev, Edward F., Li, Xiaosong, DePrince III, A. Eugene
We have implemented noniterative triples corrections to the energy from coupled-cluster with single and double excitations (CCSD) within the 1-electron exact two-component (1eX2C) relativistic framework. The effectiveness of both the CCSD(T) and the
Externí odkaz:
http://arxiv.org/abs/2404.13231
Autor:
Akhmad Herman Yuwono, Fairuz Septiningrum, Donanta Dhaneswara, Nofrijon Sofyan, Nyoman Suwartha, Latifa Hanum Lalasari, Fakhri Akbar Maulana, Eka Nurhidayah, Avenia Latifa Barep
Publikováno v:
South African Journal of Chemical Engineering, Vol 50, Iss , Pp 415-426 (2024)
In this study, we synthesized mesoporous silver-titanium (Ag/TiO2) through green synthesis approach using mangosteen pericarp extract, which subsequently can act as both adsorbent and photocatalyst materials. Additionally, we investigated and compare
Externí odkaz:
https://doaj.org/article/9c251cc63fe74340a0b2df0bfe95135f
Autor:
Yuwono, Jodie A., Li, Xinyu, Doležal, Tyler D., Samin, Adib J., Shi, Javen Qinfeng, Li, Zhipeng, Birbilis, Nick
Multi principal element alloys (MPEAs) comprise a unique class of metal alloys. MPEAs have been demonstrated to possess several exceptional properties, including, as most relevant to the present study, a high corrosion resistance. In the context of M
Externí odkaz:
http://arxiv.org/abs/2305.12059