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17th Unified International Technical Conference on Refractories, UNITECR 2022

作者： Moreira, M.H. Santos, M.F. Pandolfelli, V.C. Federal University of Sao Carlos Graduate Program in Materials Science and Engineering SP Sao Carlos Brazil

Technology advances in the last century were able to reshape the world we live in. Relationships were physically and virtually changed by innovations going from transportation (engines, airplanes), to communication, (with phones, internet, and satellites). Considering this, the abilities and skills required for the young professionals have been shifting dramatically, and the refractory industry has demanded those that understand this new world and are able to solve its challenging problems. Because of the complexity of materials knowledge, which includes the latest advances in modeling and data science, a sophisticated blend of fundamental concepts and advanced techniques that defies how to promote education effectively was generated. For instance, the heat transfer mechanisms within the refractory material can be both discussed on the fundamental level or on how to perform advanced simulations to describe it, granting the engineer the ability to solve real-life problems. The present work aims to classify this new set of needed tools, explore options to conciliate fundamentals with advanced tools and conjecture strategies to educate the present and future professionals. As a conclusion, the minimum package of skills is presented considering the association of industry, academics, students and computing, all synergistically working together to solve the new challenges and promote true innovation. © 2022 Unified International Technical Conference on Refractories, UNITECR 2022 - Proceedings. All rights reserved.

关键词： Refractory materials

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Machine learning of organic solvents reveals an extraordinary axis in Hansen space as indicator of spherical precipitation of polymers

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Aggregate 2023年第5期4卷 207-213页

作者： Yuta Ihara Hiroshi Yamagishi Masanobu Naito Yohei Yamamoto Department of Materials Science Faculty of Pure and Applied Sciencesand Tsukuba Research Center for Energy Materials Science(TREMS)University of TsukubaTsukubaJapan Research and Services Division of Materials Data and Integrated System(MaDIS) National Institute for Materials Science(NIMS)TsukubaJapan Program in Materials Science and Engineering Graduate School of Pure and Applied SciencesUniversity of TsukubaTsukubaJapan

Machine learning is an emerging tool in the field of materials chemistry for uncovering a principle from large ***,we focus on the spherical precipitation behavior of polymers and computationally extract a hidden trend that is orthogonal to the availability bias in the chemical *** constructing a dataset,four polymers were precipitated from 416 solvent/nonsolvent combinations,and the morphology of the resulting precipitates were *** dataset was subjected to computational investigations consisting of principal component analysis and machine learning based on random forest model and support vector ***,we eliminated the effect of the availability bias and found a linear combination of Hansen parameters to be the most suitable variable for predicting precipitation *** predicted appropriate solvents are those with low hydrogen bonding capability,low polarity,and small molecular ***,we found that the capability for spherical precipitation is orthogonal to the availability bias and forms an extraordinary axis in Hansen space,which is the origin of the conventional difficulty in identifying the *** extraordinary axis points toward a void region,indicating the potential value of synthesizing novel solvents located therein.

关键词： chemical space computational chemistry machine learning polymers precipitation

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Evaluation of Solubilization Time in Uncontrolled Atmosphere on Grain Growth, Phase Transformation Temperatures, and Mechanical Properties in a CuAlBe SMA

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Metallurgical and materials Transactions A: Physical Metallurgy and materials science 2025年

作者： da Silva Franco, Luiz Henrique Caluête, Rafael Evaristo de Lima, Bruno Alessandro Silva Guedes de Oliveira, Danniel Ferreira Brito, Ieverton Caiandre Andrade Department of Materials Engineering Federal University of Paraíba PB João Pessoa58051-900 Brazil Department of Mechanical Engineering Federal University of Paraíba PB João Pessoa58051-900 Brazil Graduate Program in Materials Science and Engineering Federal University of Paraíba PB João Pessoa58051-900 Brazil

Thermomechanical properties of SMAs are strongly affected by the metallurgical conditions imposed during their production. In this work, experiments were performed to investigate the behavior of the Cu–11.8Al–0.50Be (wt pct) SMA during solubilization at different times under an uncontrolled atmosphere. The results presented serve as a basis for predicting the macrostructure and thermomechanical properties in practical applications using CuAlBe SMAs. The grain growth evaluated by OM proved to be extremely sensitive to treatment time even after short intervals, tending to stabilize after 12 hours. Chemical analysis by EDS indicated a small variation in Al content produced during solidification, with 3 hours being enough to homogenize the Al concentration throughout the ingot despite producing a microstructure with non-uniform grain size. This variation in Al is not significant enough to influence the phase transformation temperatures, with the changes attributed to the grain growth and loss of Be by oxidation. ¼ hour resulted in the lowest values for maximum stress/strain, while 24 hours of solubilization showed the highest values of strain with small dispersion. The mixed fracture type (brittle/ductile) observed by SEM in the ¼ hour samples supports the hypothesis that ¼ hour is insufficient to dissolve the phases formed during solidification. This effect is aggravated by the strong elastic anisotropy, which contributes to embrittlement during quenching. © The Minerals, Metals & materials Society and ASM International 2025.

关键词： Setting

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Unified algorithm to improve reinforcement learning in dynamic environments: An instance-based approach

Unified algorithm to improve reinforcement learning in dynam...

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14th International Conference on Enterprise Information Systems, ICEIS 2012

作者： Ribeiro, Richardson Favarim, Fábio Barbosa, Marco A.C. Borges, André Pinz Dordal, Osmar Betazzi Koerich, Alessandro L. Enembreck, Fabrício Graduate Program in Computer Engineering Federal Technological University of Paraná Pato Branco Paraná Brazil Post-Graduate Program in Computer Science Pontificial Catholical University of Paraná Curitiba Paraná Brazil

ISBN: (纸本)9789898565105

This paper presents an approach for speeding up the convergence of adaptive intelligent agents using reinforcement learning algorithms. Speeding up the learning of an intelligent agent is a complex task since the choice of inadequate updating techniques may cause delays in the learning process or even induce an unexpected acceleration that causes the agent to converge to a non-satisfactory policy. We have developed a technique for estimating policies which combines instance-based learning and reinforcement learning algorithms in Markovian environments. Experimental results in dynamic environments of different dimensions have shown that the proposed technique is able to speed up the convergence of the agents while achieving optimal action policies, avoiding problems of classical reinforcement learning approaches.

关键词： Reinforcement learning

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A Review on Landfill Management in the Utilization of Plastic Waste as an Alternative Fuel 2

A Review on Landfill Management in the Utilization of Plasti...

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2nd International Conference on Energy, Environmental and Information System, ICENIS 2017

作者： Hidayah, Nurul Syafrudin Master Program of Environmental Science School of Post Graduate Studies Diponegoro University Indonesia Environmental Engineering Dept Faculty of Engineering Diponegoro University Indonesia

Wastes from landfills originate from many spheres of life. These are produces as a result of human activities either domestically or industrially. The global plastic production increased over years due to the vast applications of plastics in many sectors. The continuous demand of plastics caused the plastic wastes accumulation in the landfill consumed a lot of spaces that contributed to the environmental. In addition, economic growth and development also increased our demand and dependency on plastics which leads to its accumulation in landfills imposing risk on human health, animals and cause environmental pollution problems such as ground water contamination, sanitary related issues, etc. The management and disposal of plastic waste have become a major concern, especially in developing cities. The idea of waste to energy recovery is one of the promising techniques used for managing the waste of plastic. Hence, this paper aims review at utilizing of plastic as an alternative fuel. © 2018 The Authors, published by EDP sciences.

关键词： Groundwater

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Biogas Production from Rice Husk Waste by using Solid State Anaerobic Digestion (SSAD) Method 2

Biogas Production from Rice Husk Waste by using Solid State ...

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2nd International Conference on Energy, Environmental and Information System, ICENIS 2017

作者： Matin, Hashfi Hawali Abdul Hadiyanto Master Program of Environmental Science School of Post Graduate Studies Diponegoro University Indonesia Chemical Engineering Department Engineering Faculty Diponegoro University Indonesia

An effort to obtain alternative energy is still interesting subject to be studied, especially production of biogas from agriculture waste. This paper was an overview of the latest development of biogas researches from rice husk waste by Solid State Anaerobic Digestion (SSAD). The main obstacle of biogas production from rice husk waste was the lignin content which is very difficult degraded by microbes. Various pretreatments have been conducted, either physically, chemically as well as biologically. The SSAD method was an attractive option because of the low water content of rice husk waste. The biogas yield by SSAD method gave more attractive result compared to Liquid Anaerobic Digestion (LAD) method. Various studies were still conducted in batch mode laboratory scale and also has not found optimum operating conditions. Research on a larger scale such as bench and pilot scale with continuous systems will be an increase trend in the future research. © 2018 The Authors, published by EDP sciences.

关键词： Biogas

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Propranolol hydrochloride degradation using La@TiO_(2) functionalized with CMCD

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Journal of Rare Earths 2022年第4期40卷 579-585,I0003页

作者： Gustavo Lopes Colpani Vitor Follmann Santos Rubieli Carla Frezza Zeferino Micheli Zanetti Josiane Maria Muneron de Mello Luciano Luiz Silva Natan Padoin Regina de Fatima Peralta Muniz Moreira Márcio Antônio Fiori Cíntia Soaresc Post-Graduate Program in Technology and Innovation Management Community University of ChapecóRegionChapecó89809-900Brazil Department of Chemical Engineering Community University of ChapecóRegionChapecó89809-900Brazil Laboratory of Materials and Scientific Computing(LabMAC) Department of Chemical and Food EngineeringFederal University of Santa CatarinaFlorianópolis88040-900Brazil

Propranolol hydrochloride can be considered a persistent and bioaccumulative pharmaceutical in the *** drug and its by-products are potentially toxic and have adverse effects,since these compounds have been associated with endocrine-disrupting effects,reproductive deficiencies,embryo abnormalities and pericardial ***_(2)–La 0.05%–carboxymethyl-β-cyclodextrin(CMCD)nanoparticles were successfully prepared by a simple two-step method,which consists of sonification and *** characterization analyses reveal that lanthanum is dispersed on the semiconductor surface,probably forming Ti–O–La bonds,which can induce oxygen vacancies and surface defects that effectively restrain the recombination of photogenerated electron/holes *** efficiency of TiO_(2)–La 0.05%–CMCD samples in degradation of propranolol under UV-light irradiation is higher than that of pristine TiO_(2) within 20 min reaction,probably due to complex formation between theβ-blocker and the oligosaccharide,which allows us to propose a photocatalytic mechanism based on the formation of intermediates and competition of these compounds to the radicals and CMCD cavities.

关键词： TiO_(2) Lanthanum CMCD Propranolol Photocatalysis Functionalization

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Size-dependent infiltration and optical detection of nucleic acids in nanoscale pores

Size-dependent infiltration and optical detection of nucleic...

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作者： Lawrie, Jenifer L. Jiao, Yang Weiss, Sharon M. Department of Electrical Engineering and Computer Science Interdisciplinary Graduate Program in Materials Science Vanderbilt University Nashville TN 37235 United States

Experiments and complimentary simulations are presented to demonstrate the size-dependent infiltration and detection of variable length nucleic acids in porous silicon with controllable pore diameters in the range of 15-60 nm. The pore diameter must be tuned according to target molecule size in order to most effectively balance sensitivity and size-exclusion. A quantitative relationship between pore size (15-60 nm), nucleic acid length (up to ~5.3 nm), and sensor response is presented with smallermolecules detected more sensitively in smaller pores as long as the pore diameter is sufficient to enable molecular infiltration and binding in the pores. The density of probe molecules on the pore walls and subsequent hybridization efficiency for targetmolecule binding are also reported and are shown to depend strongly on the method of infiltration as well as the target molecule size.© 2010 IEEE.

关键词： Porous silicon

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Investigation of the oxygen blast furnace process by using a multiphase total model

Investigation of the oxygen blast furnace process by using a...

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2nd International Meeting on Ironmaking and 1st International Symposium on Iron Ore and Parallel Event- 5th Japan-Brazil Symposium on Dust Processing-Energy-Environment on Metallurgical Industries

作者： De Castro, Jose Adilson Da Silva, Alexandre José Nogami, Hiroshi Yagi, Jun-Ichiro Post Graduate Program on Metallurgical Engineering Federal Fluminense University Volta Redonda Brazil Institute of Multidisciplinary Research for Advanced Materials Tohoku University Sendai Japan

ISBN: (纸本)8586778753

The blast furnace process has been the main route for production of hot metal on the integrated steel industry. In last decades several new technologies have been introduced such as PCI and raw materials preparation. This paper aims to investigate a new operational technique based on enrichment of the oxygen blast. This technology is analyzed based on a total model capable of analyzing several aspects of the in-furnace status. The model is based on the simultaneous solution of transport equations of momentum, energy and chemical species for five coexisting phases within the furnace. Gradual enrichment of the blast is compared with a standard operation and simultaneous changing of burden distribution in order to keep the operation stable. Aiming to compare the operation techniques, hot metal temperature was kept constant throughout the simulations. In-furnace variables fields such as temperature, gas velocity among others are discussed. The simulation results have shown that the productivity is increased for increasing oxygen enrichment mainly due to the decreasing of blast volume which promotes stable gas flow through the cohesive zone promoting smooth burden flow. Also the efficiency of combustion of pulverized coal within the raceway was observed furnishing the necessary thermal supply for the entire blast furnace.

关键词： Blast furnaces

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Identifying materials-Level Sources of Performance Variation in Superconducting Transmon Qubits

arXiv

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arXiv 2025年

作者： Murthy, Akshay A. Bal, Mustafa Bedzyk, Michael J. Cansizoglu, Hilal Chan, Randall K. Chandrasekhar, Venkat Crisa, Francesco Datta, Amlan Deng, Yanpei Matute Diaz, Celeo D. Dravid, Vinayak P. Garcia-Wetten, David A. Garattoni, Sabrina Ghimire, Sunil Goronzy, Dominic P. de Graaf, Sebastian E. Haeuser, Sam Hersam, Mark C. Isheim, Dieter Joshi, Kamal Kim, Richard Kolachina, Saagar Kopas, Cameron J. Kramer, Matthew J. Lachman, Ella O. Lee, Jaeyel Lim, Peter G. Lunin, Andrei Mah, William Marshall, Jayss Mutus, Josh Y. Oh, Jin-Su Pappas, David P. Park, Joong-Mok Prozorov, Ruslan dos Reis, Roberto Seidman, David N. Sung, Zuhawn Tanatar, Makariy Walker, Mitchell J. Wang, Jigang Wu, Haotian Zhou, Lin Zhu, Shaojiang Grassellino, Anna Romanenko, Alexander BataviaIL60510 United States Department of Materials Science and Engineering Northwestern University EvanstonIL60208 United States Rigetti Computing BerkeleyCA94710 United States Ames National Laboratory AmesIA50011 United States Department of Physics & Astronomy Iowa State University AmesIA50011 United States Department of Physics and Astronomy Northwestern University EvanstonIL60208 United States The NUANCE Center Northwestern University EvanstonIL60208 United States International Institute of Nanotechnology Northwestern University EvanstonIL60208 United States National Physical Laboratory TeddingtonTW11 0LW United Kingdom Department of Chemistry Northwestern University EvanstonIL60208 United States Department of Electrical and Computer Engineering Northwestern University EvanstonIL60208 United States Applied Physics Graduate Program Northwestern University EvanstonIL60208 United States Department of Materials Science and Engineering Iowa State University AmesIA50011 United States

The Superconducting materials and Systems (SQMS) Center, a DOE National Quantum Information science Research Center, has conducted a comprehensive and coordinated study using superconducting transmon qubit chips with known performance metrics to identify the underlying materials-level sources of device-to-device performance variation. Following qubit coherence measurements, these qubits of varying base superconducting metals and substrates have been examined with various nondestructive and invasive material characterization techniques at Northwestern University, Ames National Laboratory, and Fermilab as part of a blind study. We find trends in variations of the depth of the etched substrate trench, the thickness of the surface oxide, and the geometry of the sidewall, which when combined, lead to correlations with the T1 lifetime across different devices. In addition, we provide a list of features that varied from device to device, for which the impact on performance requires further studies. Finally, we identify two low-temperature characterization techniques that may potentially serve as proxy tools for qubit measurements. These insights provide materials-oriented solutions to not only reduce performance variations across neighboring devices, but also to engineer and fabricate devices with optimal geometries to achieve performance metrics beyond the state-of-the-art values. © 2025, CC BY.

关键词： Qubits

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