Article
Computer Science, Information Systems
Jiangxiong Fang, Huaxiang Liu, Liting Zhang, Jun Liu, Hesheng Liu
Summary: This paper presents a novel active contour segmentation method with region-edge driven by hybrid and local fuzzy region-based energy. The method achieves good segmentation results for images with high noise and intensity inhomogeneity and demonstrates better performance than other methods in experiments.
INFORMATION SCIENCES
(2021)
Article
Energy & Fuels
Amir Hossein Nikoo, Mojtaba Ghaedi, M. Reza Malayeri, Masoud Riazi
Summary: The objective of this study was to determine how asphaltene particles that interact with casing surfaces may clog well columns and to investigate the impact of factors such as particle size, production rate, and casing material on wellbore clogging. The extended Derjaguin-Landau-Verwey-Overbeek (XLDVO) interaction theory and surface properties were used to analyze the depth of well column based on measurements of the contact angle. The findings revealed that asphaltene deposition can be determined at a specific depth of the well column and that clogging risk decreases with an increase in particle size and production rate.
Article
Chemistry, Multidisciplinary
Mingyan Chuai, Jinlong Yang, Rui Tan, Zaichun Liu, Yuan Yuan, Yan Xu, Jifei Sun, Mingming Wang, Xinhua Zheng, Na Chen, Wei Chen
Summary: This study proposes a cationic accelerator strategy to improve the electrochemical performance of aqueous electrolytic MnO2-Zn batteries. The strategy effectively promotes the migration and charge transfer of cations in the electrolyte, resulting in improved kinetics and overall performance of the battery.
ADVANCED MATERIALS
(2022)
Article
Engineering, Environmental
Yong Han, Shuren Ma, Jun Ma, Pascal Guiraud, Xiaoqiang Guo, Yingjie Zhang, Tifeng Jiao
Summary: In this study, molecular dynamics simulations were used to investigate the effect of an electric field on the adsorption characteristics of APAP on GO under alkaline conditions. The results showed that the external electric field weakened the interaction between GO and APAP, and altered the hydrophobicity on both sides of GO.
CHEMICAL ENGINEERING JOURNAL
(2021)
Article
Thermodynamics
Bosheng Su, Feng Lin, Jingyuan Ma, Shenghua Huang, Yilin Wang, Xiaodong Zhang, Wei Han, Hongsheng Wang
Summary: The new solar-driven two-stage biogas reforming process can produce syngas with a higher carbon monoxide/hydrogen molar ratio compared to traditional processes, leading to higher carbon dioxide conversion rates and slight advantages in total heating value. The new design also exhibits excellent water and energy saving abilities.
Article
Environmental Sciences
Jaqueline Natiele Pereira, Vanessa Alves Mantovani, Carlos Rogerio de Mello, Adalgiza Fornaro, Marcelo Vieira-Filho
Summary: This study investigates the atmospheric wet deposition fluxes of nitrogen in an agricultural region in Southern Minas Gerais, Brazil. The results show that the nitrogen deposition fluxes were on average 4.8 times higher in the wet season compared to the dry season, and they were largely influenced by rainfall and agricultural operations. The study also reveals a higher contribution of NOx emissions from traffic sources in the dry season. Furthermore, the estimated atmospheric deposition of inorganic nitrogen poses a potential risk of acidification and eutrophication to the environmental ecosystems.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Chemistry, Physical
Mamoona Riffat, Hassan Ali, H. A. Qayyum, M. Bilal, Tanvir Hussain
Summary: Solar-driven hydrogen production using a photocatalyst is the most effective method, and hydrogen is the most suitable renewable energy source. The efficiency of hydrogen production is low, but it can be enhanced by using a suitable photocatalyst. This study deposited ZnO thin films on CdTe thin films to form ZnO/CdTe heterostructure thin films as photoelectrodes for water splitting. The results showed that ZnO/CdTe heterostructure thin films have better photocurrent response and charge transfer compared to pure ZnO and CdTe thin films.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Multidisciplinary Sciences
Yan Duan, Lorena E. Rosaleny, Joana T. Coutinho, Silvia Gimenez-Santamarina, Allen Scheie, Jose J. Baldovi, Salvador Cardona-Serra, Alejandro Gaita-Arino
Summary: Three decades of research in molecular nanomagnets have led to significant progress in magnetic memory. By choosing the right magnetic ion and coordination environment, researchers have achieved magnetic memory at liquid nitrogen temperature. Through data collection and statistical analysis, the study reveals the correlation between the Arrhenius energy barrier and magnetic memory, providing insights for chemically driven design to reduce relaxation rates.
NATURE COMMUNICATIONS
(2022)
Article
Multidisciplinary Sciences
Sang Cheol Kim, Solomon T. Oyakhire, Constantine Athanitis, Jingyang Wang, Zewen Zhang, Wenbo Zhang, David T. Boyle, Mun Sek Kim, Zhiao Yu, Xin Gao, Tomi Sogade, Esther Wu, Jian Qin, Zhenan Bao, Stacey F. Bent, Yi Cui
Summary: Improving the Coulombic efficiency (CE) of lithium metal batteries is crucial, and liquid electrolyte engineering has shown promise. In this study, machine learning models were developed to design high-performance electrolytes. The models identified a reduction in solvent oxygen content as a critical factor for superior CE. By using fluorine-free solvents, electrolyte formulations achieved a high CE of 99.70%.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2023)
Article
Chemistry, Physical
Sonali Verma, Bhavya Padha, Sandeep Arya
Summary: Thermal energy, especially low-grade heat, is abundantly available and often wasted. Developing cost-effective technologies to tap into this energy source may be crucial for a sustainable economy and society. Researchers have successfully used composite nanowire electrodes and thermoelectric phenomena to create a supercapacitor that can simultaneously harvest and store energy.
ACS APPLIED ENERGY MATERIALS
(2022)
Article
Chemistry, Physical
Lucas Q. Machado, Huai Zhao, Morteza Amjadi, Huajiang Ouyang, Philippe Basset, Daniil Yurchenko
Summary: This study applies an optimization algorithm to establish mechanisms for optimizing the design of sliding-mode triboelectric energy harvesters. It highlights the need for a more robust design framework for triboelectric energy harvesting applications and proposes a hybrid approach to consider different energy harvesting parameters. The study proposes a novel high-power output sliding-mode triboelectric energy harvesting concept and optimizes its performance using the proposed methodology.
Article
Biochemistry & Molecular Biology
Vincent Frappier, Amy E. Keating
Summary: Computational protein design has the capability to generate proteins with desired structures and novel functions not found in nature. The success of this approach relies heavily on utilizing extensive data on existing proteins and their variants, ranging from sequences to structures and functions. Creative uses of multiple-sequence alignments, protein structures, and high-throughput functional assays have been demonstrated in recent studies, with the potential for deep learning to play an increasingly important role in maximizing the value of data for protein design.
CURRENT OPINION IN STRUCTURAL BIOLOGY
(2021)
Review
Chemistry, Multidisciplinary
Li Wang, Xun Xu, Qunfeng Cheng, Shi Xue Dou, Yi Du
Summary: This review summarizes the recent progress in NIR-driven photocatalysts and their applications, as well as strategies for harvesting NIR photons and related photocatalytic applications; it also discusses the application of NIR-active photocatalysts as electrocatalysts.
Article
Engineering, Environmental
Zhe Chen, Shiyu Zhu, Haoran Zhang, Fang Wang, Krystian Marsza, Zhenzhou Zhu
Summary: The pulsed electric field (PEF)-assisted proteolytic membrane (PAPM) was constructed by immobilizing PEF-treated pepsin on PDA and PEI co-deposited ultrafiltration membrane to enhance enzyme activity and substrate accessibility. The PEF treatment influenced the microstructure and charge properties of pepsin, leading to improved enzymatic reactions with increased substrate accessibility.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Chemistry, Multidisciplinary
Arun Mannodi-Kanakkithodi, Maria K. Y. Chan
Summary: This study develops a framework based on high-throughput computations and machine learning to design and predict mixed cation halide perovskite alloys. By simulating and computing multiple properties, including stability and optical properties, 392 promising compounds were screened as potential absorbers, revealing compositional trends in mixed cation halide perovskites.
ENERGY & ENVIRONMENTAL SCIENCE
(2022)
Article
Physics, Nuclear
R. Yang, A. Pastushenko, A. Aryshev, M. Bergamaschi, V Cilento, A. Faus-Golfe, M. Fukuda, P. Korysko, K. Kubo, S. Kuroda, T. Naito, T. Okugi, F. Plassard, N. Terunuma, R. Tomas
PHYSICAL REVIEW ACCELERATORS AND BEAMS
(2020)
Article
Physics, Nuclear
M. Hofer, R. Tomas
PHYSICAL REVIEW ACCELERATORS AND BEAMS
(2020)
Article
Physics, Nuclear
J. Keintzel, R. Tomas, R. Bruce, M. Giovannozzi, T. Risselada, F. Zimmermann
PHYSICAL REVIEW ACCELERATORS AND BEAMS
(2020)
Article
Instruments & Instrumentation
P. Arpaia, G. Azzopardi, F. Blanc, G. Bregliozzi, X. Buffat, L. Coyle, E. Fol, F. Giordano, M. Giovannozzi, T. Pieloni, R. Prevete, S. Redaelli, B. Salvachua, B. Salvant, M. Schenk, M. Solfaroli Camillocci, R. Tomas, G. Valentino, F. F. Van der Veken, J. Wenninger
Summary: Machine learning techniques, widely used in Science and Engineering, have recently shown success in the domain of Accelerator Physics, with efforts being deployed by laboratories worldwide. Institutions like CERN are focusing on applying Machine Learning techniques to research and analysis at the Large Hadron Collider.
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT
(2021)
Article
Physics, Multidisciplinary
E. Fol, R. Tomas, G. Franchetti
Summary: Magnetic field errors can cause optics perturbations, and supervised learning models can be used to predict these errors for improved beam control. Autoencoder neural networks and linear regression are useful for denoising and reconstructing measurement data. Supervised machine learning algorithms have practical applications in beam optics studies in circular accelerators.
EUROPEAN PHYSICAL JOURNAL PLUS
(2021)
Article
Physics, Nuclear
R. Calaga, A. Alekou, F. Antoniou, R. B. Appleby, L. Arnaudon, K. Artoos, G. Arduini, V Baglin, S. Barriere, H. Bartosik, P. Baudrenghien, I Ben-Zvi, T. Bohl, A. Boucherie, O. S. Bruening, K. Brodzinski, A. Butterworth, G. Burt, O. Capatina, S. Calvo, T. Capelli, M. Carla, F. Carra, L. R. Carver, A. Castilla-Loeza, E. Daly, L. Dassa, J. Delayen, S. U. De Silva, A. Dexter, M. Garlasche, F. Gerigk, L. Giordanino, D. Glenat, M. Guinchard, A. Harrison, E. Jensen, C. Julie, T. Jones, F. Killing, A. Krawczyk, T. Levens, R. Leuxe, B. Lindstrom, Z. Li, A. MacEwen, A. Macpherson, P. Menendez, T. Mikkola, P. Minginette, J. Mitchell, E. Montesinos, G. Papotti, H. Park, C. Pasquino, S. Pattalwar, T. Powers, B. Prochal, A. Ratti, L. Rossi, V Rude, M. Therasse, R. Tomas, N. Stapley, I Santillana, N. Shipman, J. Simonin, M. Sosin, J. Swieszek, N. Templeton, G. Vandoni, S. Verdu-Andres, M. Wartak, C. Welsch, D. Wollman, Q. Wu, B. Xiao, E. Yamakawa, C. Zanoni, F. Zimmermann, A. Zwozniak
Summary: As many future particle colliders require beam crabbing to recover geometric luminosity loss, a successful first demonstration experiment with hadron beams has been carried out. This breakthrough result is crucial for achieving the physics goals of the high luminosity LHC and the future circular collider. Novel beam physics experiments with proton beams in CERN's Super Proton Synchrotron were performed to demonstrate critical aspects for the operation of crab cavities in the future HL-LHC.
PHYSICAL REVIEW ACCELERATORS AND BEAMS
(2021)
Article
Physics, Nuclear
Vera Cilento, Rogelio Tomas, Benoit Cure, Angeles Faus-Golfe, Barbara Dalena, Yngve Levinsen
Summary: This paper presents a novel dual beam delivery system (BDS) design for the Compact Linear Collider (CLIC) to serve two interaction regions with high luminosity performance at both energy stages. The impact of detector solenoid field effects on luminosity had not been evaluated for the current CLIC baseline, but the new design shows promising potential.
PHYSICAL REVIEW ACCELERATORS AND BEAMS
(2021)
Article
Physics, Nuclear
R. Yang, A. Pastushenko, V. Cilento, K. Kubo, T. Naito, T. Okugi, N. Terunuma, R. Tomas
Summary: This article presents the analytical estimations and simulations of momentum bandwidth for various optics of ATF2, as well as the study of possible deviations of the momentum bandwidth due to realistic machine imperfections. Experimental measurements at ATF2 following successful tuning of small vertical beam size at the interaction point are described and further verify the robustness of the local chromaticity correction scheme.
PHYSICAL REVIEW ACCELERATORS AND BEAMS
(2021)
Article
Physics, Nuclear
H. Garcia-Morales, M. Hofer, E. H. Maclean, L. Van Riesen-Haupt, R. Tomas
Summary: A precise determination of the fi function at different locations of an accelerator is crucial for optics correction and high machine performance. By introducing the same phase advance as an additional constraint in the K-modulation algorithm, the limitations of the technique are mitigated, leading to more accurate measurements.
PHYSICAL REVIEW ACCELERATORS AND BEAMS
(2022)
Article
Physics, Multidisciplinary
E. H. Maclean, F. S. Carlier, J. Dilly, M. Le Garrec, M. Giovannozzi, R. Tomas
Summary: Nonlinear magnetic errors in low-beta insertions can significantly impact the beam dynamics of colliders. Correction of such errors is crucial for improving operational benefits. This paper assesses the feasibility of beam-based observables for correcting dodecapole order errors in the experimental insertions of the HL-LHC, based on experience from the LHC's second operational run.
EUROPEAN PHYSICAL JOURNAL PLUS
(2022)
Article
Physics, Nuclear
A. Bazzani, F. Capoani, M. Giovannozzi, R. Tomas
Summary: In recent years, research has focused on using nonlinear effects to shape and cool the transverse beam distribution. This approach allows for the splitting of beams into distinct distributions and the reduction of beam emittance.
PHYSICAL REVIEW ACCELERATORS AND BEAMS
(2023)
Article
Instruments & Instrumentation
Tessa K. Charles, Bernhard Holzer, Rogelio Tomas, Katsunobu Oide, Leon van Riesen-Haupt, Frank Zimmermann
Summary: To achieve ultra-low vertical emittance and high luminosity, effective alignment, correction methods, and understanding of vibrations are crucial for the design of FCC-ee. Misalignment and field errors can increase emittance and decrease luminosity, making alignment tolerances and stability essential. Analytical estimations verified by simulations were applied to determine the influence of alignment and magnet misalignments, followed by the evaluation of different vibration tolerances on quadrupoles.
EPJ TECHNIQUES AND INSTRUMENTATION
(2023)
Article
Engineering, Electrical & Electronic
Pasquale Arpaia, Gabriella Azzopardi, Frederic Blanc, Xavier Buffat, Loic Coyle, Elena Fol, Francesco Giordano, Massimo Giovannozzi, Tatiana Pieloni, Roberto Prevete, Stefano Redaelli, Belen Salvachua, Benoit Salvant, Michael Schenk, Matteo Solfaroli Camillocci, Rogelio Tomas, Gianluca Valentino, Frederik Florentinus Van der Veken, Joerg Wenninger
IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE
(2021)
Article
Mathematics
Rogelio Tomas Garcia
NOTES ON NUMBER THEORY AND DISCRETE MATHEMATICS
(2020)
Article
Physics, Nuclear
E. Fol, R. Tomas, J. Coello de Portugal, G. Franchetti
PHYSICAL REVIEW ACCELERATORS AND BEAMS
(2020)
