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Two-phase computational modeling of evaporative film boiling in plate heat exchangers with offset-strip fins

INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER 2025年 236卷

作者： Edalatpour, Mojtaba Agathocleous, Nicos T. Byun, Jongyeong Tasiopoulos, James G. Engberg, Chad W. Abate, William Hanon Syst USA LLC 39600 Lewis Dr Novi MI 48377 USA

To date, computational simulation on compact heat exchangers has been limited to either liquid-to-liquid single-phase flows or two-phase flow boiling across only one single plate despite the fact that heat exchangers are an indispensable part of any effective active thermal management solution. Here, the transient evaporation rate and liquid-gas maldistribution across a complete stack of three-dimensional cross-flow plate heat exchangers with offset-strip fins in between have been demonstrated. With maldistribution being a known implication of high mass flow rates across plate-fin heat exchangers (PFHXs), our simulations show that maldistribution at lower mass flow rates is primarily implicated by unequal distribution of liquid into each plate through the inlet tube or non-uniform distribution of liquid across the plate-fin, which highlights that the design and optimization of PFHXs require accurate simulation tools. Experiments were conducted on PFHXs within an environmental chamber with controllable conditions, followed by simulations across thermohydraulic parameters including mass flow rates, inlet gas quality and temperature, etc. computational and experimental results were found to be in good agreement given the intricate complexity of two-phase liquid- gas flows with evaporation phase-change. According to the results, the overall heat transfer and effectiveness of the PFHX are strong functions of mass flow rate ((m) over dot(T)) and inlet temperature of the two-phase stream (T-t,T-i). The maximum heat transfer is achieved at (m) over dot(T) = 150 kg/h and T-t,T-i = 18 degrees C while an optimal effectiveness as high as 0.78 is achievable with (m) over dot(T) = 100 kg/h and T-t,T-i = 17.6 degrees C.

关键词： Plate-fin heat exchangers Phase-change heat transfer computational modeling Refrigerant-to-refrigerant Flow boiling

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computational modeling of Language Learning in the Era of Generative Artificial Intelligence: A Response to Open Peer Commentaries

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LANGUAGE LEARNING 2023年第Sup2期73卷 83-94页

作者： Xu, Qihui Li, Ping Basque Ctr Cognit Brain & Language San Sebastian Spain Hong Kong Polytech Univ Hong Kong Peoples R China Hong Kong Polytech Univ Fac Humanities Dept Chinese & Bilingual Studies Hung HomKowloon Hong Kong Peoples R China

Ping Li and Qihui Xu respond to commentaries (this journal issue) on their original article "computational modeling of Bilingual Language Learning: Current Models and Future Directions" (Language Learning, 7... 详细信息

关键词： computational modeling bilingualism generative AI large language models cross-disciplinary integration

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Unveiling micro-scale mechanisms of in-situ silicon alloying for tailoring mechanical properties in titanium alloys: Experiments and computational modeling

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JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY 2025年 220卷 150-163页

作者： Tang, Sisi Li, Li Su, Jinlong Yuan, Yuan Han, Yong Fan, Jinglian Cent South Univ State Key Lab Powder Met Changsha 410083 Peoples R China Peking Univ Coll Engn Dept Mech & Engn Sci Beijing 100871 Peoples R China Natl Univ Singapore Dept Mech Engn 9 Engn Dr 1 Singapore 117575 Singapore

Titanium-silicon (Ti-Si) alloy system shows significant potential for aerospace and automotive applications due to its superior specific strength, creep resistance, and oxidation resistance. For Si-containing Ti alloys, the sufficient content of Si is critical for achieving these favorable performances, while excessive Si addition will result in mechanical brittleness. Herein, both physical experiments and finite element (FE) simulations are employed to investigate the micro-mechanisms of Si alloying in tailoring the mechanical properties of Ti alloys. Four typical states of Si-containing Ti alloys (solid solution state, hypoeutectoid state, near-eutectoid state, hypereutectoid state) with varying Si content (0.3-1.2 wt.%) were fabricated via in-situ alloying spark plasma sintering. Experimental results indicate that in-situ alloying of 0.6 wt.% Si enhances the alloy's strength and ductility simultaneously due to the formation of fine and uniformly dispersed Ti5 Si3 particles, while higher content of Si (0.9 and 1.2 wt.%) results in coarser primary Ti5 Si3 agglomerations, deteriorating the ductility. FE simulations support these findings, highlighting the finer and more uniformly distributed Ti5 Si3 particles contribute to less stress concentration and promote uniform deformation across the matrix, while agglomerated Ti5 Si3 particles result in increased local stress concentrations, leading to higher chances of particle fracture and reduced ductility. This study not only elucidates the micro-mechanisms of in-situ Si alloying for tailoring the mechanical properties of Ti alloys but also aids in optimizing the design of high-performance Si-containing Ti alloys. (c) 2025 Published by Elsevier Ltd on behalf of The editorial office of Journal of Materials Science & Technology.

关键词： Titanium alloy Spark plasma sintering Micro-scale deformation behavior Mechanical property tailoring computational modeling

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computational modeling of protracted HCMV replication using genome substrates and protein temporal profiles

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PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA 2022年第35期119卷 e2201787119-e2201787119页

作者： Monti, Christopher E. Mokry, Rebekah L. Schumacher, Megan L. Dash, Ranjan K. Terhune, Scott S. Univ Arizona Dept Immunobiol Tucson AZ 85719 USA Med Coll Wisconsin Dept Microbiol & Immunol Milwaukee WI 53226 USA Med Coll Wisconsin Ctr Syst & Mol Med Milwaukee WI 53226 USA Med Coll Wisconsin Dept Biomed Engn Milwaukee WI 53226 USA Med Coll Wisconsin Dept Physiol Milwaukee WI 53226 USA

Human cytomegalovirus (HCMV) is a major cause of illness in immunocompromised individuals. The HCMV lytic cycle contributes to the clinical manifestations of infection. The lytic cycle occurs over similar to 96 h in diverse cell types and consists of viral DNA (vDNA) genome replication and temporally distinct expression of hundreds of viral proteins. Given its complexity, understanding this elaborate system can be facilitated by the introduction of mechanistic computational modeling of temporal relationships. Therefore, we developed a multiplicity of infection (MOI)-dependent mechanistic computational model that simulates vDNA kinetics and late lytic replication based on in-house experimental data. The predictive capabilities were established by comparison to post hoc experimental data. computational analysis of combinatorial regulatory mechanisms suggests increasing rates of protein degradation in association with increasing vDNA levels. The model framework also allows expansion to account for additional mechanisms regulating the processes. Simulating vDNA kinetics and the late lytic cycle for a wide range of MOIs yielded several unique observations. These include the presence of saturation behavior at high MOIs, inefficient replication at low MOIs, and a precise range of MOIs in which virus is maximized within a cell type, being 0.382 IU to 0.688 IU per fibroblast. The predicted saturation kinetics at high MOIs are likely related to the physical limitations of cellular machinery, while inefficient replication at low MOIs may indicate a minimum input material required to facilitate infection. In summary, we have developed and demonstrated the utility of a data-driven and expandable computational model simulating lytic HCMV infection.

关键词： human cytomegalovirus computational modeling biological networks viral replication viral egress

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Halloysite Clay Nanotubes for Catalytic Conversion of Biomass: Synergy between computational modeling and Experimental Studies

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ACS CATALYSIS 2024年第23期14卷 18167-18203页

作者： Lisuzzo, Lorenzo Guercio, Ludovico Cavallaro, Giuseppe Duca, Dario Ferrante, Francesco Univ Palermo Dipartimento Fis & Chim E Segre I-90128 Palermo Italy

Halloysite clay nanotubes (HNTs) are emerging nanomaterials for numerous environmental applications, including catalysis and biomass valorization. The efficacy of halloysite as a nanoplatform for the catalytic conversion of biomass can be accurately evaluated by combined approaches based on experimental investigations and computational modeling. Recently, many efforts have been made to properly describe the most peculiar features of halloysite by focusing on its structural and interfacial features through computational studies, which are challenging for natural clay nanoparticles yet crucial for the design of novel catalysts to be exploited in biomass conversion. Within this framework, this review critically and extensively discusses recent advancements related to the use of halloysite in different catalytic processes, such as enzymatic reactions, precious- and nonprecious-metal- and alloy-catalyzed reactions, and acid-activated mechanisms. The research gap on the computational modeling of biomass chemical conversion occurring on halloysite surfaces is highlighted throughout this review, together with the latest experimental achievements. To optimize the catalytic efficiency of halloysite-based materials for biomass valorization, future efforts should focus on the implementation of experimental data with calculations provided by proper models in a synergistic approach.

关键词： Halloysite biomass conversion catalysis computational modeling experimental analysis value-added chemical

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computational modeling in philosophy: introduction to a topical collection

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SYNTHESE 2022年第2期200卷 114页

作者： Scheller, Simon Merdes, Christoph Hartmann, Stephan Otto Friedrich Univ Bamberg Inst Polit Wissensch Feldkirchenstr 21 D-96052 Bamberg Germany Friedrich Alexander Univ Erlangen Nurnberg Ctr Appl Philosophy Sci & Key Qualificat Bismarckstr 12 D-91054 Erlangen Germany Ludwig Maximilians Univ Munchen Munich Ctr Math Philosophy Geschwister Scholl Pl 1 D-80539 Munich Germany

computational modeling should play a central role in philosophy. In this introduction to our topical collection, we propose a small topology of computational modeling in philosophy in general, and show how the various contributions to our topical collection fit into this overall picture. On this basis, we describe some of the ways in which computational models from other disciplines have found their way into philosophy, and how the principles one found here still underlie current trends in the field. Moreover, we argue that philosophers contribute to computational modeling not only by building their own models, but also by thinking about the various applications of the method in philosophy and the sciences. In this context, we note that models in philosophy are usually simple, while models in the sciences are often more complex and empirically grounded. Bridging certain methodological gaps that arise from this discrepancy may prove to be challenging and fruitful for the further development of computational modeling in philosophy and beyond.

关键词： computational modeling Agent-based modeling Simulation Methodology of simulation computational philosophy Epistemology of modeling

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computational modeling of seizure spread on a cortical surface

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JOURNAL OF computational NEUROSCIENCE 2022年第1期50卷 17-31页

作者： Sip, Viktor Guye, Maxime Bartolomei, Fabrice Jirsa, Viktor Aix Marseille Univ Inst Neurosci Syst INS INSERM Marseille France Aix Marseille Univ CRMBM CNRS Marseille France CHU Pole Imagerie Med CEMEREM Hop la TimoneAP HM Marseille France CHU Hop la Timone AP HM Serv Neurophysiol Clin Marseille France

In the field of computational epilepsy, neural field models helped to understand some large-scale features of seizure dynamics. These insights however remain on general levels, without translation to the clinical settings via personalization of the model with the patient-specific structure. In particular, a link was suggested between epileptic seizures spreading across the cortical surface and the so-called theta-alpha activity (TAA) pattern seen on intracranial electrographic signals, yet this link was not demonstrated on a patient-specific level. Here we present a single patient computational study linking the seizure spreading across the patient-specific cortical surface with a specific instance of the TAA pattern recorded in the patient. Using the realistic geometry of the cortical surface we perform the simulations of seizure dynamics in The Virtual Brain platform, and we show that the simulated electrographic signals qualitatively agree with the recorded signals. Furthermore, the comparison with the simulations performed on surrogate surfaces reveals that the best quantitative fit is obtained for the real surface. The work illustrates how the patient-specific cortical geometry can be utilized in The Virtual Brain for personalized model building, and the importance of such approach.

关键词： Epilepsy Seizure propagation computational modeling

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The Deep Method: Towards computational modeling of the Social Emotion Shame Driven by Theory, Introspection, and Social Signals

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IEEE TRANSACTIONS ON AFFECTIVE COMPUTING 2024年第2期15卷 417-432页

作者： Schneeberger, Tanja Hladky, Mirella Thurner, Ann-Kristin Volkert, Jana Heimerl, Alexander Baur, Tobias Andre, Elisabeth Gebhard, Patrick German Res Ctr Artificial Intelligence Dept Cognit Assistants Affect Comp Grp D-66123 Saarbrucken Germany MSB Med Sch Berlin GmbH Clin Psychol & Psychotherapy D-14197 Berlin Germany Augsburg Univ Lab Human Centered AI D-86159 Augsburg Germany

Understanding emotions is key to Affective Computing. Emotion recognition focuses on the communicative component of emotions encoded in social signals. This view alone is insufficient for a deeper understanding and computational representation of the internal, subjectively experienced component of emotions. This article presents a cognition-based method called Deep as a starting point for deeper computational modeling of the internal component of emotions. Deep incorporates an approach to query individual internal emotional experiences and to represent such information computationally. It combines social signals, verbalized introspection information, context information, and theory-driven knowledge. We apply the Deep method to the emotion of shame as an example and compare it to a typical emotion recognition model, highlighting the differences and advantages.

关键词： computational modeling Regulation Emotion recognition Psychology Bayes methods Affective computing Physiology Bayesian network emotion modeling empirical study methods

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Interleaved Multi-Contact Peripheral Nerve Stimulation to Enhance Reproduction of Tactile Sensation: A computational modeling Study

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IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING 2024年 32卷 2302-2313页

作者： Tebcherani, Tanya M. Loparo, Kenneth A. Kaffashi, Farhad Tyler, Dustin J. Graczyk, Emily L. Case Western Reserve Univ Dept Elect Engn Cleveland 44106 OH USA Johns Hopkins Univ Appl Phys Lab Laurel MD 20723 USA Case Western Reserve Univ Dept Biomed Engn Cleveland OH 44106 USA Louis Stokes Cleveland VA Med Ctr Cleveland OH 44106 USA

Peripheral nerve stimulation (PNS) is an effective means to elicit sensation for rehabilitation of people with loss of a limb or limb function. While most current PNS paradigms deliver current through single electrode contacts to elicit each tactile percept, multi-contact extraneural electrodes offer the opportunity to deliver PNS with groups of contacts individually or simultaneously. Multi-contact PNS strategies could be advantageous in developing biomimetic PNS paradigms to recreate the natural neural activity during touch, because they may be able to selectively recruit multiple distinct neural populations. We used computational models and optimization approaches to develop a novel biomimetic PNS paradigm that uses interleaved multi-contact (IMC) PNS to approximate the critical neural coding properties underlying touch. The IMC paradigm combines field shaping, in which two contacts are active simultaneously, with pulse-by-pulse contact and parameter variations throughout the touch stimulus. We show in simulation that IMC PNS results in better neural code mimicry than single contact PNS created with the same optimization techniques, and that field steering via two-contact IMC PNS results in better neural code mimicry than one-contact IMC PNS. We also show that IMC PNS results in better neural code mimicry than existing PNS paradigms, including prior biomimetic PNS. Future clinical studies will determine if the IMC paradigm can improve the naturalness and usefulness of sensory feedback for those with neurological disorders.

关键词： Neurons Biomimetics Codes Electrodes Optimization computational modeling Fingers Biomimicry neural prosthetics biomimetic stimulation neural stimulation neural rehabilitation computational modeling optimization peripheral nerve stimulation touch haptics

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Statistical shape analysis and computational modeling reveal novel relationships between tibiofemoral bony geometry and knee mechanics in young, female athletes

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JOURNAL OF BIOMECHANICS 2024年 167卷 112030-112030页

作者： Wheatley, Mitchell G. A. Pearle, Andrew D. Shamritsky, David Z. Hirth, Jacob M. Nawabi, Danyal H. Wickiewicz, Thomas L. Beynnon, Bruce D. Imhauser, Carl W. Hosp Special Surg Dept Biomech New York NY USA Hosp Special Surg Sports Med Inst New York NY USA Univ Vermont Larner Coll Med McClure Musculoskeletal Res Ctr Dept Orthopaed & Rehabil Burlington VT USA 535 East 70th St New York NY 10021 USA

Young female athletes participating in sports requiring rapid changes of direction are at heightened risk of suffering traumatic knee injury, especially noncontact rupture of the anterior cruciate ligament (ACL). Clinical studies have revealed that geometric features of the tibiofemoral joint are associated with increased risk of suffering noncontact ACL injury. However, the relationship between three-dimensional (3D) tibiofemoral geometry and knee mechanics in young female athletes is not well understood. We developed a statistically augmented computational modeling workflow to determine relationships between 3D geometry of the knee and tibiofemoral kinematics and ACL force in response to an applied loading sequence of compression, valgus, and anterior force, which is known to load the ACL. This workflow included 3D characterization of tibiofemoral bony geometry via principal component analysis and multibody dynamics models incorporating subject-specific knee geometries. A combination of geometric features of both the tibia and the femur that spanned all three anatomical planes was related to increased ACL force and to increased kinematic coupling (i.e., anterior, medial, and distal tibial translations and internal tibial rotation) in response to the applied loads. In contrast, a uniplanar measure of tibiofemoral geometry that is associated with ACL injury risk, sagittal plane slope of the lateral tibial plateau subchondral bone, was not related to ACL force. Thus, our workflow may aid in developing mechanicsbased ACL injury screening tools for young, active females based on a unique combination of bony geometric features that are related to increased ACL loading.

关键词： Knee mechanics Statistical shape model computational modeling Anterior Cruciate Ligament

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