Relevant bibliographies by topics / High computational cost

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'High computational cost'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "High computational cost"

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Karim, Rezaul, and Amit Kumar Kundu. "Computational Analysis to Reduce Classification Cost Keeping High Accuracy of the Sparser LPSVM." International Journal of Machine Learning and Computing 9, no. 6 (2019): 728–33. http://dx.doi.org/10.18178/ijmlc.2019.9.6.865.

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Martina Perez, Simon, Heba Sailem, and Ruth E. Baker. "Efficient Bayesian inference for mechanistic modelling with high-throughput data." PLOS Computational Biology 18, no. 6 (2022): e1010191. http://dx.doi.org/10.1371/journal.pcbi.1010191.

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Bayesian methods are routinely used to combine experimental data with detailed mathematical models to obtain insights into physical phenomena. However, the computational cost of Bayesian computation with detailed models has been a notorious problem. Moreover, while high-throughput data presents opportunities to calibrate sophisticated models, comparing large amounts of data with model simulations quickly becomes computationally prohibitive. Inspired by the method of Stochastic Gradient Descent, we propose a minibatch approach to approximate Bayesian computation. Through a case study of a high-
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Kwon, Dongup, Wonsik Lee, Dongryeong Kim, Junehyuk Boo, and Jangwoo Kim. "SmartFVM: A Fast, Flexible, and Scalable Hardware-based Virtualization for Commodity Storage Devices." ACM Transactions on Storage 18, no. 2 (2022): 1–27. http://dx.doi.org/10.1145/3511213.

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A computational storage device incorporating a computation unit inside or near its storage unit is a highly promising technology to maximize a storage server’s performance. However, to apply such computational storage devices and take their full potential in virtualized environments, server architects must resolve a fundamental challenge: cost-effective virtualization . This critical challenge can be directly addressed by the following questions: (1) how to virtualize two different hardware units (i.e., computation and storage), and (2) how to integrate them to construct virtual computational
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Wunschmann, Jurgen, Sebastian Zanker, Christian Gunter, and Albrecht Rothermel. "Reduction of computational cost for high quality video scaling." IEEE Transactions on Consumer Electronics 56, no. 4 (2010): 2584–91. http://dx.doi.org/10.1109/tce.2010.5681144.

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Fukushima, Kunihiko. "Efficient IntVec: High recognition rate with reduced computational cost." Neural Networks 119 (November 2019): 323–31. http://dx.doi.org/10.1016/j.neunet.2019.08.024.

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Carson, Erin, and Zdeněk Strakoš. "On the cost of iterative computations." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 378, no. 2166 (2020): 20190050. http://dx.doi.org/10.1098/rsta.2019.0050.

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With exascale-level computation on the horizon, the art of predicting the cost of computations has acquired a renewed focus. This task is especially challenging in the case of iterative methods, for which convergence behaviour often cannot be determined with certainty a priori (unless we are satisfied with potentially outrageous overestimates) and which typically suffer from performance bottlenecks at scale due to synchronization cost. Moreover, the amplification of rounding errors can substantially affect the practical performance, in particular for methods with short recurrences. In this art
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AyguadÉ, Eduard, Jordi Garcia, MercÉ GironÈs, M. Luz Grande, and JesÚs Labarta. "DDT: A Research Tool for Automatic Data Distribution in High Performance Fortran." Scientific Programming 6, no. 1 (1997): 73–94. http://dx.doi.org/10.1155/1997/780152.

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This article describes the main features and implementation of our automatic data distribution research tool. The tool (DDT) accepts programs written in Fortran 77 and generates High Performance Fortran (HPF) directives to map arrays onto the memories of the processors and parallelize loops, and executable statements to remap these arrays. DDT works by identifying a set of computational phases (procedures and loops). The algorithm builds a search space of candidate solutions for these phases which is explored looking for the combination that minimizes the overall cost; this cost includes data
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Mahdi, Naghibi, Anvari Reza, Forghani Ali, and Minaei Behrouz. "Test-cost-sensitive Convolutional Neural Networks with Expert Branches." Signal & Image Processing: An International Journal (SIPIJ) 10, no. 5 (2019): 15–27. https://doi.org/10.5281/zenodo.3541564.

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It has been proven that deeper convolutional neural networks (CNN) can result in better accuracy in many problems, but this accuracy comes with a high computational cost. Also, input instances have not the same difficulty. As a solution for accuracy vs. computational cost dilemma, we introduce a new test-cost-sensitive method for convolutional neural networks. This method trains a CNN with a set of auxiliary outputs and expert branches in some middle layers of the network. The expert branches decide to use a shallower part of the network or going deeper to the end, based on the difficulty of i
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Valkov, Ivan, Phil Trinder, and Natalia Chechina. "Reliable distribution of computational load in robot teams." Autonomous Robots 45, no. 3 (2021): 351–69. http://dx.doi.org/10.1007/s10514-021-09967-8.

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AbstractModern multi-robot systems often need to solve computationally intensive tasks but operate with limited compute resources and in the presence of failures. Cooperating to share computational tasks between robots at the edge reduces execution time. We introduce and evaluate a new computation load management technology for teams of robots: Reliable Autonomous Mobile Programs (RAMPs). RAMPs use information about the computational resources available in the team and a cost model to decide where to execute. RAMPs are implemented in ROS on a collection of Raspberry Pi-based robots. The perfor
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Noh, Won-Jun, Ki-Ryum Moon, and Byoung-Dai Lee. "SMS-Net: Bridging the Gap Between High Accuracy and Low Computational Cost in Pose Estimation." Applied Sciences 14, no. 22 (2024): 10143. http://dx.doi.org/10.3390/app142210143.

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Human pose estimation identifies and classifies key joints of the human body in images or videos. Existing pose estimation methods can precisely capture human movements in real time but require significant computational time and resources, which restricts their usage in specific conditions. Thus, we propose a lightweight pose estimation model—SMS-Net—based on the sequentially stacked structure of the hourglass network. The proposed model uses various lightweight techniques to enable high-speed pose estimation while requiring minimal storage space and computation. Specifically, a shuffle-gated
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Dissertations / Theses on the topic "High computational cost"

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Yousefi, Mojir Kayran. "A Computational Model for Optimal Dimensional Speed on New High-Speed Lines." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-37230.

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High Speed Lines (HSL) in rail passenger services are regarded as one of the most significant projects in many countries comparing to other projects in the transportation area. According to the EU (European Council Directive 96/48/EC,2004) , high-speed lines are either new-built lines for speeds of 250km/h or greater, or in some cases upgraded traditional lines. At the beginning of 2008, there were 10,000 km of new HSL lines in operation, and by taking into account the upgraded conventional lines, in total, there were 20,000 km line in the world. The network is growing fast because of the dema
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Petla, Harita. "Computational design of ultra-high temperature ceramic composite materials." To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2008. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.

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Books on the topic "High computational cost"

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International Workshop on Grid Economics and Business Models (7th 2010 Ischia, Italy). Economics of grids, clouds, systems, and services: 7th international workshop, GECON 2010, Ischia, Italy, August 31, 2010 : proceedings. Springer, 2010.

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Ewen, Joshua B., and Sándor Beniczky. Validating Biomarkers and Diagnostic Tests in Clinical Neurophysiology. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0009.

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There has been an explosion in the development of electroencephalogram (EEG)-based biomarkers and clinical tests. This upsurge is likely due to an increase in therapies rooted in biological mechanisms rather than behavioral descriptions, as well as to the democratization of computational power and the lower cost of EEG compared with competing methodologies. This increase in motivation and opportunity demands an increased responsibility for proper validation studies. Fields including laboratory medicine and psychometrics have paved the way for rigorous validation methodology. This chapter revie
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Book chapters on the topic "High computational cost"

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Barbosa, Franklin Messias, and Renato Porfirio Ishii. "A Neural Network Approach to High Cost Patients Detection." In Computational Science and Its Applications – ICCSA 2021. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86970-0_37.

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McDoniel, William, and Paolo Bientinesi. "A Timer-Augmented Cost Function for Load Balanced DSMC." In High Performance Computing for Computational Science – VECPAR 2018. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15996-2_12.

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Watanabe, Shun, and Kenji Yasunaga. "Bit Security as Computational Cost for Winning Games with High Probability." In Lecture Notes in Computer Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-92078-4_6.

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Jamshidi, Parisa, Sławomir Nowaczyk, and Mahmoud Rahat. "EcoShap: Save Computations by only Calculating Shapley Values for Relevant Features." In Communications in Computer and Information Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-50396-2_2.

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AbstractOne of the most widely adopted approaches for eXplainable Artificial Intelligence (XAI) involves employing of Shapley values (SVs) to determine the relative importance of input features. While based on a solid mathematical foundation derived from cooperative game theory, SVs have a significant drawback: high computational cost. Calculating the exact SV is an NP-hard problem, necessitating the use of approximations, particularly when dealing with more than twenty features. On the other hand, determining SVs for all features is seldom necessary in practice; users are primarily interested
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Shi, Mingchunjian, Liming Kong, Yongzhong Chen, and Xiang Li. "Environmental Data-Driven Optimization of Building Skin Design by Coupling Genetic Algorithm and Neural Network Algorithm -Taking Shaanxi Xi’an Garment Office Building as Example." In Computational Design and Robotic Fabrication. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-3433-0_21.

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Abstract It is complex to design facade skin for different building, in view of the high operational energy consumption that accompanies buildings with excessively large window-to-wall ratios. For public buildings with, the energy load cost relatively large. There are a characteristic of facade which have high wall window rate to consume a lot of energy or increase Insulation cost due to the influence of interfaces. For the treatment of shading in summer, excessive overhang of the eaves often increases the load and structural cost of the roof or increases the external sunshade structure to inc
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Prabu, K., S. Irudayaraj, and P. Chandrasekar. "Converter with Analog MPPT for a Photovoltaic Water Pumping System: High Efficiency and Low Cost." In Recent Trends in Computational Intelligence and Its Application. CRC Press, 2023. http://dx.doi.org/10.1201/9781003388913-52.

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Cho, Sang-Hun, Tae-Jin Lee, Min Young Chung, and Hyunseung Choo. "Minimum Cost Multicast Routing Based on High Utilization MC Nodes Suited to Sparse-Splitting Optical Networks." In Computational Science and Its Applications - ICCSA 2006. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11751588_31.

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Luo, Jiaxiang, Tianyi Gao, and Philip F. Yuan. "Fabrication of Reinforced 3D Concrete Printing Formwork." In Computational Design and Robotic Fabrication. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-8637-6_44.

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AbstractIn recent years, the emerging 3D printing concrete technology has been proved to be an effective and intelligent strategy compared with conventional casting concrete construction. Due to the principle of additive manufacturing strategy, this concrete extrusion technique creates great opportunities for designing freeform geometries for surface decoration since this material has a promising performance of high compressive strength, low deformation, and excellent durability. However, the structure behavior is usually questioned, defined by the thickness and printing path. At the same time
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Gonzaga de Oliveira, Sanderson L., Guilherme Oliveira Chagas, and Júnior Assis Barreto Bernardes. "An Analysis of Reordering Algorithms to Reduce the Computational Cost of the Jacobi-Preconditioned CG Solver Using High-Precision Arithmetic." In Computational Science and Its Applications – ICCSA 2017. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62392-4_1.

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Zhang, Yichen, Yafei Wang, Mingyu Wu, and Ruoyao Li. "Variable-Step-Length Hybrid A* Based on Dichotomy Optimization for Path Planning of Autonomous Mining Trucks*." In Lecture Notes in Mechanical Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-70392-8_91.

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AbstractGlobal path planning for autonomous mining trucks in shovel-loading areas requires path optimality and high computational efficiency. However, generating qualified paths for the loading process is more difficult for conventional methods under accurate final pose constraints. Furthermore, due to large-scale maps with variable obstacle distribution, considerable computation time needs to be allocated for path planning when using conventional methods. To address this problem, a novel Variable-Step-Length Hybrid A* based on Dichotomy Optimization (DO-VSLHA*) algorithm is proposed to genera
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Conference papers on the topic "High computational cost"

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Jain, Sagar, Puneet Gupta, and Pieter Woltgens. "Design enablement of low-cost stitching in high-NA EUV patterning." In DTCO and Computational Patterning IV, edited by Neal V. Lafferty and Harsha Grunes. SPIE, 2025. https://doi.org/10.1117/12.3051566.

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Markley, Eric, Leyla Kabuli, Tiffany Chien, Henry Pinkard, and Laura Waller. "Information-Theoretic Design for High-Dimensional Computational Imaging." In Computational Optical Sensing and Imaging. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/cosi.2024.cth4b.4.

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We present a technique for information-theoretic optimization of computational imaging systems demonstrated in snapshot 3D microscopy. By directly evaluating measurement quality and decoupling optimization from downstream decoders, computational cost is reduced relative to end-to-end design.
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Nguyen, Duc-Anh, Duc-Manh Phan, and Pham Ngoc Hung. "Generating High-Quality Adversarial Examples for Object Detectors with Low Computational Cost." In 2024 16th International Conference on Knowledge and System Engineering (KSE). IEEE, 2024. https://doi.org/10.1109/kse63888.2024.11063590.

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Ingole, Rajeshwari, Mallikarjun Bhavanari, Prajwal Nataraj, and Anish Bekal. "A Low-Cost Portable Oscilloscope Using a 14-Bits High-Speed Analog-to-Digital Converter Module." In 2024 Third International Conference on Artificial Intelligence, Computational Electronics and Communication System (AICECS). IEEE, 2024. https://doi.org/10.1109/aicecs63354.2024.10956739.

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Civelli, S., and M. Secondini. "Cost-Gain Analysis of Sequence Selection for Nonlinearity Mitigation." In Optical Fiber Communication Conference. Optica Publishing Group, 2025. https://doi.org/10.1364/ofc.2025.tu2f.7.

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We propose a low-complexity sign-dependent metric for sequence selection and study the nonlinear shaping gain achievable for a given computational cost, establishing a benchmark for future research. Small gains are obtained with feasible complexity. Higher gains are achievable in principle, but with high complexity or a more sophisticated metric.
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Mehl, Sophie, Anna Cole, Tanner Olson, Paul Sanders, John Shingledecker, and Shutong Zhang. "Nickel Superalloy Composition and Process Optimization for Weldability, Cost, and Strength." In AM-EPRI 2024. ASM International, 2024. http://dx.doi.org/10.31399/asm.cp.am-epri-2024p0699.

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Abstract Advanced power generation systems, including advanced ultrasupercritical (A-USC) steam and supercritical carbon dioxide (sCO2) plants operating above 700°C, are crucial for reducing carbon dioxide emissions through improved efficiency. While nickel superalloys meet these extreme operating conditions, their high cost and poor weldability present significant challenges. This study employs integrated computational materials engineering (ICME) strategies, combining computational thermodynamics and kinetics with multi-objective Bayesian optimization (MOBO), to develop improved nickel super
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Prosser, Daniel, and Marilyn Smith. "A Novel, High Fidelity 6-DoF Simulation Model for Tethered Load Dynamics." In Vertical Flight Society 70th Annual Forum & Technology Display. The Vertical Flight Society, 2014. http://dx.doi.org/10.4050/f-0070-2014-9572.

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A novel, physics-based reduced-order model for the simulation of tethered loads and other dynamic bluff bodies in six-degree-of-freedom motion has been developed. The reduced-order aerodynamic model is founded on physical insights and supporting data from quasi-steady computational fluid dynamics simulations, experiments, or flight tests. The reduced-order model incorporates quasi-steady aerodynamics, unsteady vortex shedding phenomena, and unsteady aerodynamic effects of body motion. The reduced-order model accurately reproduces dynamics predicted by computational fluid dynamics simulations,
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Guibert, Alexandre, Álvaro Díaz-Flores, Anirban Chaudhuri, and H. Alicia Kim. "Multifidelity Uncertainty Quantification in Battery Performance for eVTOL Flights Under Material and Loading Uncertainties." In Vertical Flight Society 80th Annual Forum & Technology Display. The Vertical Flight Society, 2024. http://dx.doi.org/10.4050/f-0080-2024-1167.

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This study addresses safety concerns within the rapidly evolving Electric Vertical Takeoff and Landing (eVTOL) aircraft domain, focusing on efficient tools to quantify uncertainties in lithium-ion battery behavior - a critical aspect of eVTOL. One major issue with quantifying uncertainty is the prohibitive computational cost associated with many queries of an expensive-to-evaluate computational model. This work employs three physics-based battery models models of varying fidelity and cost to estimate the mean and the variance of the selected quantities of interest through a multifidelity metho
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Rajkumar, Karthick, Eike Tangermann, and Markus Klein. "Towards high fidelity cavity simulations at affordable computational cost." In AIAA AVIATION 2022 Forum. American Institute of Aeronautics and Astronautics, 2022. http://dx.doi.org/10.2514/6.2022-3325.

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Siewert, Sam B., Jeries Shihadeh, Randall Myers, Jay Khandhar, and Vitaly Ivanov. "Low-cost, high-performance and efficiency computational photometer design." In SPIE Sensing Technology + Applications, edited by Jerome J. Braun. SPIE, 2014. http://dx.doi.org/10.1117/12.2049646.

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Reports on the topic "High computational cost"

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Hao, Shiqiang, Richard Oleksak, Omer Dogan, and Michael Gao. Computational Design of Cost-Effective High-Entropy Thermal/Environmental Barrier Coatings. Office of Scientific and Technical Information (OSTI), 2025. https://doi.org/10.2172/2568405.

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Rivera-Casillas, Peter, and Ian Dettwiller. Neural Ordinary Differential Equations for rotorcraft aerodynamics. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/48420.

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High-fidelity computational simulations of aerodynamics and structural dynamics on rotorcraft are essential for helicopter design, testing, and evaluation. These simulations usually entail a high computational cost even with modern high-performance computing resources. Reduced order models can significantly reduce the computational cost of simulating rotor revolutions. However, reduced order models are less accurate than traditional numerical modeling approaches, making them unsuitable for research and design purposes. This study explores the use of a new modified Neural Ordinary Differential
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Wissink, Andrew, Jude Dylan, Buvana Jayaraman, et al. New capabilities in CREATE™-AV Helios Version 11. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40883.

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CREATE™-AV Helios is a high-fidelity coupled CFD/CSD infrastructure developed by the U.S. Dept. of Defense for aeromechanics predictions of rotorcraft. This paper discusses new capabilities added to Helios version 11.0. A new fast-running reduced order aerodynamics option called ROAM has been added to enable faster-turnaround analysis. ROAM is Cartesian-based, employing an actuator line model for the rotor and an immersed boundary model for the fuselage. No near-body grid generation is required and simulations are significantly faster through a combination of larger timesteps and reduced cost
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Ramakrishnan, Aravind, Fangyu Liu, Angeli Jayme, and Imad Al-Qadi. Prediction of Pavement Damage under Truck Platoons Utilizing a Combined Finite Element and Artificial Intelligence Model. Illinois Center for Transportation, 2024. https://doi.org/10.36501/0197-9191/24-030.

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For robust pavement design, accurate damage computation is essential, especially for loading scenarios such as truck platoons. Studies have developed a framework to compute pavement distresses as function of lateral position, spacing, and market-penetration level of truck platoons. The established framework uses a robust 3D pavement model, along with the AASHTOWare Mechanistic–Empirical Pavement Design Guidelines (MEPDG) transfer functions to compute pavement distresses. However, transfer functions include high variability and lack physical significance. Therefore, as an improvement to effecti
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Keller, David P., Neha Mehendale, and Tronje P. Kemena. Analysis (report) of high- resolution modelling of efficacy, and regional impacts of selected ocean NETs close to the deployment sites. OceanNets, 2023. http://dx.doi.org/10.3289/oceannets_d4.3_v1.

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Many recent ocean modelling studies have demonstrated the added value of enhanced horizontal resolution, although it comes at a high computational cost. However, few modeling studies of ocean-based CDR have been done at high resolution. Here we assess the effects of model resolution on two simulated ocean-based CDR methods, unequilibrated ocean alkalinity enhancement (OAE) and the direct marine capture (DMC) of CO2 from seawater (with assumed permanent storage), in experiments with the FOCI Earth system model. To do this we utilized two FOCI configurations, one with a 1/2° ocean resolution and
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Bailey Bond, Robert, Pu Ren, James Fong, Hao Sun, and Jerome F. Hajjar. Physics-informed Machine Learning Framework for Seismic Fragility Analysis of Steel Structures. Northeastern University, 2024. http://dx.doi.org/10.17760/d20680141.

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The seismic assessment of structures is a critical step to increase community resilience under earthquake hazards. This research aims to develop a Physics-reinforced Machine Learning (PrML) paradigm for metamodeling of nonlinear structures under seismic hazards using artificial intelligence. Structural metamodeling, a reduced-fidelity surrogate model to a more complex structural model, enables more efficient performance-based design and analysis, optimizing structural designs and ease the computational effort for reliability fragility analysis, leading to globally efficient designs while maint
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Gungor, Osman, Imad Al-Qadi, and Navneet Garg. Pavement Data Analytics for Collected Sensor Data. Illinois Center for Transportation, 2021. http://dx.doi.org/10.36501/0197-9191/21-034.

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The Federal Aviation Administration instrumented four concrete slabs of a taxiway at the John F. Kennedy International Airport to collect pavement responses under aircraft and environmental loading. The study started with developing preprocessing scripts to organize, structure, and clean the collected data. As a result of the preprocessing step, the data became easier and more intuitive for pavement engineers and researchers to transform and process. After the data were cleaned and organized, they were used to develop two prediction models. The first prediction model employs a Bayesian calibra
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Hrehor, Troy, Timothy Jacobs, and Mark Patterson. PR457-22209-R01 Feasibility Study of the Premixing of PCC Fuel and Air to Reduce GHG Emissions. Pipeline Research Council International, Inc. (PRCI), 2025. https://doi.org/10.55274/r0000115.

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The large-bore, slow-speed, two-stroke natural gas engines that frequently power natural gas pipelines are the subjects of increasingly stringent emissions standards, particularly those targeting emissions of oxides of nitrogen (NOx) and greenhouse gases (GHGs) such as methane and carbon dioxide. Running these engines near their lean limits of operation reduces combustion temperature and therefore NOx emissions but at the cost of increased misfires and combustion instability, thus increasing GHG emissions. A pre-combustion chamber (PCC) can be equipped to provide a high-energy ignition source
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Stockley, Joshua, and Laura Lowes. Evaluation and Calibration of an OpenSees Layered Shell Element Model for Simulating the Earthquake Response of Flexure-Controlled Reinforced Concrete Walls. Pacific Earthquake Engineering Research Center, 2024. https://doi.org/10.55461/amqf4907.

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Reinforced concrete walls are used commonly to resist lateral loads; often, concrete walls have three-dimensional configurations to maximize stiffness and strength. Seismic design, evaluation, and retrofit of concrete wall structures often require nonlinear analysis to predict performance; assessment of earthquake risk for regions and for individual structures often require nonlinear analysis to predict damage, loss of functionality, and repair time and cost. This report presents the results of a research study in which high-performance cloud-computing resources were used to calibrate an OpenS
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Pullammanappallil, Pratap, Haim Kalman, and Jennifer Curtis. Investigation of particulate flow behavior in a continuous, high solids, leach-bed biogasification system. United States Department of Agriculture, 2015. http://dx.doi.org/10.32747/2015.7600038.bard.

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Recent concerns regarding global warming and energy security have accelerated research and developmental efforts to produce biofuels from agricultural and forestry residues, and energy crops. Anaerobic digestion is a promising process for producing biogas-biofuel from biomass feedstocks. However, there is a need for new reactor designs and operating considerations to process fibrous biomass feedstocks. In this research project, the multiphase flow behavior of biomass particles was investigated. The objective was accomplished through both simulation and experimentation. The simulations included
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