Fetching the paper…
Reading the bibliography…
Monte Carlo (MC) simulations, particularly using FLUKA, are essential for replicating real-world scenarios across scientific and engineering fields.
Implementation of a low energy neutron transport module into a monte carlo hadronic shower code and its applications for accelerator shielding problems
Zazula, J., 1990 · 1970
Earlier work this paper cites.
FLUKA simulation of TEPC response to cosmic radiation
Beck, P., Ferrari, A., Pelliccioni, M., Rollet, S., Villari, R., 2005 · 2005
Earlier work this paper cites.
Investigating the accuracy of the FLUKA code for transport of therapeutic ion beams in matter
Sommerer, F., Parodi, K., Ferrari, A., Poljanc, K., Enghardt, W., Aiginger, H., 2006 · 2006
Earlier work this paper cites.
In-beam PET monitoring of mono-energetic 16O and 12C beams: experiments and FLUKA simulations for homogeneous targets
Sommerer, F., Cerutti, F., Parodi, K., Ferrari, A., Enghardt, W., Aiginger, H., 2009 · 2009
Earlier work this paper cites.
FLUKA Capabilities and CERN Applications for the Study of Radiation Damage to Electronics at High-Energy Hadron Accelerators
Battistoni, G., Boccone, V., Broggi, F., Brugger, M., Campanella, M., Carboni, M., Cerutti, F., Empl, A., Fassò, A., Ferrari, A., Ferrari, A., Gadioli, E., Garzelli, M.V., Kramer, D., Lantz, M., Lebbos, E., Mairani, A., Margiotta, A., Mereghetti, A., Morone, C., Muraro, S., Parodi, K., Patera, V., Pelliccioni, M., Pinsky, L., Ranft, J., Roeed, K., Roesler, S., Rollet, S., Sala, P.R., Santana, M., Sarchiapone, L., Sioli, M., Smirnov, G., Sommerer, F., Theis, C., Trovati, S., Versaci, R., Villari, R., Vincke, H., Vincke, H., Vlachoudis, V., Vollaire, J., Zapp, N., 2011 · 2011
Earlier work this paper cites.
FLUKA: Fully integrated particle physics Monte Carlo simulation package
Fassò, A., Ferrari, A., Ranft, J., Sala, P., Mairani, A., Empl, A., Sommerer, F., Cerutti, F., Battistoni, G., Roesler, S., others, 2012 · 2012
Earlier work this paper cites.
FLUKA capabilities for microdosimetric analysis
Northum, J.D., Guetersloh, S.B., Braby, L.A., 2012 · 2012
Earlier work this paper cites.
Use of the FLUKA Monte Carlo code for 3D patient-specific dosimetry on PET-CT and SPECT-CT images
Botta, F., Mairani, A., Hobbs, R.F., Gil, A.V., Pacilio, M., Parodi, K., Cremonesi, M., Pérez, M.A.C., Di Dia, A., Ferrari, M., others, 2013 · 2013
Earlier work this paper cites.
A dedicated tool for PET scanner simulations using FLUKA, in: 2013 3rd International Conference on Advancements in Nuclear Instrumentation, Measurement Methods and their Applications (ANIMMA), pp. 1–7
Ortega, P.G., Böhlen, T.T., Cerutti, F., Chin, M.P.W., Ferrari, A., Mairani, A., Mancini, C., Sala, P.R., Vlachoudis, V., 2013 · 2013
Earlier work this paper cites.
Overview of the FLUKA code
Battistoni, G., Boehlen, T., Cerutti, F., Chin, P.W., Esposito, L.S., Fassò, A., Ferrari, A., Lechner, A., Empl, A., Mairani, A., Mereghetti, A., Ortega, P.G., Ranft, J., Roesler, S., Sala, P.R., Vlachoudis, V., Smirnov, G., 2015 · 2014
Earlier work this paper cites.
The FLUKA Code: Developments and Challenges for High Energy and Medical Applications
Böhlen, T.T., Cerutti, F., Chin, M.P., Fassò, A., Ferrari, A., Ortega, P.G., Mairani, A., Sala, P.R., Smirnov, G., Vlachoudis, V., 2014 · 2014
Earlier work this paper cites.
Neutrons production in heavy extended targets by electrons of energy from 15 to 1000 mev
Polański, A., Słowiński, B., Jackowski, T., Pacan, A., 2015 · 2014
Earlier work this paper cites.
Simulated response of a tissue-equivalent proportional counter on the surface of mars
Northum, J.D., Guetersloh, S.B., Braby, L.A., Ford, J.R., 2015 · 2015
Earlier work this paper cites.
The FLUKA code: An accurate simulation tool for particle therapy
Battistoni, G., Bauer, J., Boehlen, T.T., Cerutti, F., Chin, M.P., Dos Santos Augusto, R., Ferrari, A., Ortega, P.G., Kozlowska, W., Magro, G., Mairani, A., Parodi, K., Sala, P.R., Schoofs, P., Tessonnier, T., Vlachoudis, V., 2016 · 2016
Earlier work this paper cites.
Testing FLUKA on neutron activation of Si and Ge at nuclear research reactor using gamma spectroscopy
Bazo, J., Rojas, J.M., Best, S., Bruna, R., Endress, E., Mendoza, P., Poma, V., Gago, A.M., 2018 · 2017
Earlier work this paper cites.
A novel avalanche-confinement TEPC for microdosimetry at nanometric level
Bortot, D., Pola, A., Agosteo, S., Pasquato, S., Mazzucconi, D., Fazzi, A., Colautti, P., Conte, V., 2017 · 2017
Earlier work this paper cites.
An overview of recent developments in FLUKA PET tools
Augusto, R.S., Bauer, J., Bouhali, O., Cuccagna, C., Gianoli, C., Kozłowska, W.S., Ortega, P.G., Tessonnier, T., Toufique, Y., Vlachoudis, V., others, 2018 · 2018
Earlier work this paper cites.
Monte Carlo simulation of a new TEPC for microdosimetry at nanometric level: Response against a carbon ion beam
Bortot, D., Pola, A., Agosteo, S., Pasquato, S., Mazzucconi, D., Fazzi, A., Colautti, P., Conte, V., 2018b · 2018
Earlier work this paper cites.
Measurements and FLUKA Simulations of Bismuth, Aluminium and Indium Activation at the upgraded CERN Shielding Benchmark Facility (CSBF)
Iliopoulou, E., Bamidis, P., Brugger, M., Froeschl, R., Infantino, A., Kajimoto, T., Nakao, N., Roesler, S., Sanami, T., Siountas, A., Yashima, H., 2018 · 2018
Earlier work this paper cites.
Data-driven modeling for boiling heat transfer: using deep neural networks and high-fidelity simulation results
Liu, Y., Dinh, N., Sato, Y., Niceno, B., 2018 · 2018
Earlier work this paper cites.
Inverse uncertainty quantification using the modular bayesian approach based on gaussian process, part 1: Theory
Wu, X., Kozlowski, T., Meidani, H., Shirvan, K., 2018 · 2018
Earlier work this paper cites.
Measurements and FLUKA simulations of aluminium, bismuth and indium activation by stray radiation from the annihilation of low energy antiprotons
Ahdida, C., Froeschl, R., Iliopoulou, E., Infantino, A., Jensen, S., 2020 · 2019
Earlier work this paper cites.
A nano-microdosimetric characterization of a therapeutic carbon ion beam at CNAO
Bortot, D., Mazzucconi, D., Pola, A., Fazzi, A., Pullia, M., Savazzi, S., Colautti, P., Conte, V., Agosteo, S., 2020 · 2019
Cited alongside, same era.
A FPGA-based software for microdosimetric data processing, in: Journal of Physics: Conference Series, Institute of Physics Publishing
Mazzucconi, D., Bonfanti, M., Bortot, D., Agosteo, S., Pola, A., Pasquato, S., Fazzi, A., 2019 · 2019
Cited alongside, same era.
Application of FLUKA and OpenMC in coupled physics calculation of target and subcritical reactor for ADS
Zhao, Z.L., Yang, Y.W., Hong, S., 2019 · 2019
Cited alongside, same era.
Experimental and monte carlo simulation study on potential new composite materials to moderate neutron-gamma radiation
Aygün, B., Şakar, E., Singh, V., Sayyed, M., Korkut, T., Karabulut, A., 2020 · 2020
Cited alongside, same era.
New Capabilities of the FLUKA Multi-Purpose Code
Ahdida, C., Bozzato, D., Calzolari, D., Cerutti, F., Charitonidis, N., Cimmino, A., Coronetti, A., D’Alessandro, G.L., Donadon Servelle, A., Esposito, L.S., Froeschl, R., García Alía, R., Gerbershagen, A., Gilardoni, S., Horváth, D., Hugo, G., Infantino, A., Kouskoura, V., Lechner, A., Lefebvre, B., Lerner, G., Magistris, M., Manousos, A., Moryc, G., Ogallar Ruiz, F., Pozzi, F., Prelipcean, D., Roesler, S., Rossi, R., Sabaté Gilarte, M., Salvat Pujol, F., Schoofs, P., Stránský, V., Theis, C., Tsinganis, A., Versaci, R., Vlachoudis, V., Waets, A., Widorski, M., 2022 · 2021
Generative AI service implementation using LLM application architecture: based on RAG model and LangChain framework
Jeong, C., 2023 · 2023
Later among the works it cites.
Pandya, K., Holia, M., 2023 · 2023
Later among the works it cites.
Generative agents: Interactive simulacra of human behavior, in: Proceedings of the 36th annual acm symposium on user interface software and technology, pp. 1–22
Park, J.S., O’Brien, J., Cai, C.J., Morris, M.R., Liang, P., Bernstein, M.S., 2023 · 2023
Later among the works it cites.
Physics-informed neural network with transfer learning (tl-pinn) based on domain similarity measure for prediction of nuclear reactor transients
Prantikos, K., Chatzidakis, S., Tsoukalas, L.H., Heifetz, A., 2023 · 2023
Later among the works it cites.
Auto-GPT for Online Decision Making: Benchmarks and Additional Opinions Yunzhong He
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Investigations on the gamma-ray shielding performance of green concrete using theoretical, experimental and simulation techniques
Kumar, S., Mann, K.S., Singh, T., Singh, S., 2021 · 2021
Cited alongside, same era.
Uncertainty quantification and software risk analysis for digital twins in the nearly autonomous management and control systems: A review
Lin, L., Bao, H., Dinh, N., 2021 · 2021
Cited alongside, same era.
Uncertainty quantification for multiphase-cfd simulations of bubbly flows: a machine learning-based bayesian approach supported by high-resolution experiments
Liu, Y., Wang, D., Sun, X., Dinh, N., Hu, R., 2021 · 2021
Cited alongside, same era.
Nakano, R., Hilton, J., Balaji, S., Wu, J., Ouyang, L., Kim, C., Hesse, C., Jain, S., Kosaraju, V., Saunders, W., Jiang, X., Cobbe, K., Eloundou, T., Krueger, G., Button, K., Knight, M., Chess, B., Openai, J.S., 2021 · 2021
Cited alongside, same era.
Physics-informed reinforcement learning optimization of nuclear assembly design
Radaideh, M.I., Wolverton, I., Joseph, J., Tusar, J.J., Otgonbaatar, U., Roy, N., Forget, B., Shirvan, K., 2021 · 2021
Cited alongside, same era.
Investigations on physical, structural and nuclear radiation shielding behaviour of niobium–bismuth–cadmium–zinc borate glass system
Singh, S., Kaur, R., Rani, S., Sidhu, B.S., 2021 · 2021
Cited alongside, same era.
On the use of green concrete composite as a nuclear radiation shielding material
Singh, S., Singh, K., 2021 · 2021
Cited alongside, same era.
Yang, H., Yue, S., Ai, K., 2023 · 2023
Later among the works it cites.
Fast and accurate reduced-order modeling of a moose-based additive manufacturing model with operator learning
Yaseen, M., Yushu, D., German, P., Wu, X., 2023 · 2023
Later among the works it cites.
GitHub - yoheinakajima/babyagi
Yohei N. B., 2023 · 2023
Later among the works it cites.
A Survey of Large Language Models URL: http://arxiv.org/abs/2303.18223
Zhao, W.X., Zhou, K., Li, J., Tang, T., Wang, X., Hou, Y., Min, Y., Zhang, B., Zhang, J., Dong, Z., Du, Y., Yang, C., Chen, Y., Chen, Z., Jiang, J., Ren, R., Li, Y., Tang, X., Liu, Z., Liu, P., Nie, J.Y., Wen, J.R., 2023 · 2023
Later among the works it cites.
Fluka: a multi-particle transport code (Program version 2024)
Ferrari, A., Sala, P.R., Fassò, A., Ranft, J., 2024 · 2024
Closest in time.
Data Interpreter: An LLM Agent For Data Science URL: https://arxiv.org/abs/2402.18679v3
Hong, S., Lin, Y., Liu, B., Liu, B., Wu, B., Li, D., Chen, J., Zhang, J., Wang, J., Zhang, L., Zhang, L., Yang, M., Zhuge, M., Guo, T., Zhou, T., Tao, W., Wang, W., Tang, X., Lu, X., Zheng, X., Liang, X., Fei, Y., Cheng, Y., Xu, Z., Wu, C., 2024 · 2024
Closest in time.
MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework
Hong, S., Zhuge, M., Chen, J., Zheng, X., Cheng, Y., Zhang, C., Wang, J., Wang, Z., Yau, S.K.S., Lin, Z., Zhou, L., Ran, C., Xiao, L., Wu, C., Schmidhuber, J., 2023 · 2024
Closest in time.
Jin, H., Huang, L., Cai, H., Yan, J., Li, B., Chen, H., 2024 · 2024
Closest in time.
Sentiment analysis of the united states public support of nuclear power on social media using large language models
Kwon, O.H., Vu, K., Bhargava, N., Radaideh, M.I., Cooper, J., Joynt, V., Radaideh, M.I., 2024 · 2024
Closest in time.
Design and Optimization of Heat Exchangers Using Large Language Models
Mishra, S., Jadhav, V., Karande, S., Runkana, V., 2024 · 2024
Closest in time.
REX: RAPID EXPLORATION AND EXPLOITATION FOR AI AGENTS
Murthy, R., Heinecke, S., Carlos Niebles, J., Liu, Z., Xue, L., Yao, W., Feng, Y., Chen, Z., Gokul, A., Arpit, D., Xu, R., Mui, P., Wang, H., Xiong, C., Savarese, S., Research, S., 2024 · 2024
Closest in time.
Design, construction, and calibration of an Avalanche-confinement Tissue Equivalent Proportional Counter (AcTEPC) for Radiation Monitoring in Space and Therapeutic Applications, INMM Conference Proceedings, 2024, Portland,OR
Ndum, Z.N., Ford, J., Mazzucconi, D., Pola, A., Perez, D., Braby, L.A., Olive, A., Liu, Y., 2024 · 2024
Closest in time.
MechAgents: Large language model multi-agent collaborations can solve mechanics problems, generate new data, and integrate knowledge
Ni, B., Buehler, M.J., 2024 · 2024
Closest in time.
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Reid, M., Savinov, N., Teplyashin, D., Lepikhin, D., Lillicrap, T., Alayrac, J.b., Soricut, R., Lazaridou, A., Firat, O., Schrittwieser, J., others, 2024 · 2024
Closest in time.
Investigations on physical, structural, elastic, optical and radiation shielding properties of boro-phosphate glasses for radioactive waste management applications
Sasirekha, C., Poojha, M.K., Marimuthu, K., Alqahtani, M.S., Vijayakumar, M., 2024 · 2024
Closest in time.
Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face
Shen, Y., Song, K., Tan, X., Li, D., Lu, W., Zhuang, Y., 2024 · 2024
Closest in time.
Revolutionizing mental health care through langchain: A journey with a large language model, in: 2024 IEEE 14th Annual Computing and Communication Workshop and Conference (CCWC), pp. 73–78
Singh, A., Ehtesham, A., Mahmud, S., Kim, J.H., 2024 · 2024
Closest in time.
Advancing building energy modeling with large language models: Exploration and case studies
Zhang, L., Chen, Z., Ford, V., 2024a · 2024
Closest in time.