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Driving Method Of Virtual Multi-Person Disassembly And Assembly Task For Aeroengine, Qiuwei Zeng, Zhaoyong Hu, Zhile Wang, Ruilin Zhang, Gang Zou Jan 2024

Driving Method Of Virtual Multi-Person Disassembly And Assembly Task For Aeroengine, Qiuwei Zeng, Zhaoyong Hu, Zhile Wang, Ruilin Zhang, Gang Zou

Journal of System Simulation

Abstract: To meet the needs of virtual multi-person collaborative disassembly and assembly system for different disassembly and assembly tasks, this paper proposes a data-driven method with configurable task sequence. Taking an aeroengine prototype as the research object, the paper studies the task elements of multi-person collaborative disassembly and assembly. It parameterizes and expresses the task based on JSON (JavaScript object notation) and drives the task sequence by JSON parametrical files, defining the interactive operation of each task step. The practice shows that this method is applied to the multi-person collaborative disassembly and assembly system, which makes the system configurable and …

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Buzzard To Cardinal: Improved Mock Catalogs For Large Galaxy Surveys, Chun-Hao To, Joseph Derose, Risa H. Wechsler, Eli Rykoff, Hao-Yi Wu, Susmita Adhikari, Elisabeth Krause, Eduardo Rozo, David H. Weinberg Jan 2024

Buzzard To Cardinal: Improved Mock Catalogs For Large Galaxy Surveys, Chun-Hao To, Joseph Derose, Risa H. Wechsler, Eli Rykoff, Hao-Yi Wu, Susmita Adhikari, Elisabeth Krause, Eduardo Rozo, David H. Weinberg

Physics Faculty Publications and Presentations

We present the Cardinal mock galaxy catalogs, a new version of the Buzzard simulation that has been updated to support ongoing and future cosmological surveys, including the Dark Energy Survey (DES), DESI, and LSST. These catalogs are based on a one-quarter sky simulation populated with galaxies out to a redshift of z = 2.35 to a depth of mr = 27. Compared to the Buzzard mocks, the Cardinal mocks include an updated subhalo abundance matching model that considers orphan galaxies and includes mass-dependent scatter between galaxy luminosity and halo properties. This model can simultaneously fit galaxy clustering and group–galaxy …

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Thermal History Of Rocks Along The Totschunda And Denali Faults With Implications For Exhumation, Fault Reactivation, And Fault System Evolution., Jacob Leo Rosenthal Jan 2024

Thermal History Of Rocks Along The Totschunda And Denali Faults With Implications For Exhumation, Fault Reactivation, And Fault System Evolution., Jacob Leo Rosenthal

Dissertations - ALL

The main body of this research has focused on the tectonic evolution of the Totschunda fault and its relationship with the Denali fault in central Alaska. This dissertation is divided into three chapters that investigate questions surrounding the evolution of intersecting faults, reactivation of lithospheric structures, and the exhumation of crust surrounding these structures with an initial overview chapter that sets the context for the studied problems followed by a conclusions chapter that provides a summary of conclusions from this work. In the second chapter I document fault rejuvenation through thermal history modelling of multiple bedrock and detrital cobble samples …

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Intelligent Airport Crowd Management Technology Based On Digital Twin, Jinghui Zhong, Yutian Lin, Wenqiang Li, Wentong Cai Jan 2024

Intelligent Airport Crowd Management Technology Based On Digital Twin, Jinghui Zhong, Yutian Lin, Wenqiang Li, Wentong Cai

Journal of System Simulation

Abstract: Given the need for intelligent emergency control and management of airport crowds, a smart control scheme for airport crowds based on digital twin is proposed. The scheme constructs an integrated crowd control system framework with four dimensions, including digital layer, modeling layer, functional layer, and application layer. It discusses and demonstrates the application effect of five important application modules. By using a data-driven crowd simulation model and intelligent optimization algorithm, the proposed scheme realizes the dynamic prediction and control optimization of the airport crowd status. The scheme can effectively improve the efficiency and intelligence level of airport crowd control …

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Emergency Material Scheduling Based On Discrete Shuffled Frog Leaping Algorithm, Xiaoning Shen, Zhongpei Ge, Chengbin Yao, Liyan Song, Yufang Wang Jan 2024

Emergency Material Scheduling Based On Discrete Shuffled Frog Leaping Algorithm, Xiaoning Shen, Zhongpei Ge, Chengbin Yao, Liyan Song, Yufang Wang

Journal of System Simulation

Abstract: A mathematical model of emergency material scheduling after earthquakes is built. The model evaluates the emergency degree of each disaster area based on the disaster situation and designs a method to split the demand of the disaster area, improving the efficiency of vehicle utilization. To solve the model, this paper proposes a discrete shuffled frog leaping algorithm with multi-resource learning. The multiple information sources introduced by the proposed algorithm can expand the search direction and reduce the assimilation speed of the population in the algorithm. Second, the worst individual in each subgroup can learn the effective information in the …

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Recursive Subspace-Based Model Refinement Method For Digital Twin Of Thermal Power Unit, Yanbo Zhao, Yuanli Cai, Huaizhong Hu Jan 2024

Recursive Subspace-Based Model Refinement Method For Digital Twin Of Thermal Power Unit, Yanbo Zhao, Yuanli Cai, Huaizhong Hu

Journal of System Simulation

Abstract: Due to factors such as simplified assumptions or equipment characteristic deviation, modeling errors are inevitable in the mechanism modeling of thermal power units. To deal with the problem, this paper proposes a novel model refinement method based on recursive subspace for the digital twin of thermal power units. Firstly, the digital twin models are built based on mechanism analysis and combined with small sample data of typical conditions, ensuring interpretability and generalization performance. Secondly, based on the recursive subspace identification method, the refinement model is built and updated online in real time to compensate for the modeling error, improving …

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Heterogeneous Multi-Ant Colony Algorithm Combining Competitive Interaction Strategy And Eliminatingreconstructing Mechanism, Chen Feng, Xiaoming You, Sheng Liu Jan 2024

Heterogeneous Multi-Ant Colony Algorithm Combining Competitive Interaction Strategy And Eliminatingreconstructing Mechanism, Chen Feng, Xiaoming You, Sheng Liu

Journal of System Simulation

Abstract: The traditional ant colony algorithm has many problems in convergence and diversity when solving the traveling salesman problem (TSP). Therefore, this paper proposes a heterogeneous multi-ant colony algorithm that combines the competitive interaction strategy and the eliminating-reconstructing mechanism (CEACO) to overcome these shortcomings. Firstly, the algorithm uses a competitive interaction strategy, which adjusts the interaction period adaptively according to the Hamming distance of different groups in different periods. Competition coefficients are adopted to differentiate matching interaction objects for interaction. The matched objects interact with each other through the optimal solution and pheromone matrix. This mechanism achieves a balance between …

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Result Validation Method Of Simulation Models Based On Piecewise Feature Extraction, Yucheng Luo, Ming'en Zhang, Fei Liu, Yingbo Lu, Feng Ye Jan 2024

Result Validation Method Of Simulation Models Based On Piecewise Feature Extraction, Yucheng Luo, Ming'en Zhang, Fei Liu, Yingbo Lu, Feng Ye

Journal of System Simulation

Abstract: Verification, validation, and accreditation (VV&A) is a key means to ensure the credibility of simulation models, and model validation is the core link. In view of the unavailability of reference data, various sources of reference data, and strong subjectivity of expert validation in the result validation of the missile flight simulation model, a result validation method for the missile flight simulation model based on piecewise feature extraction of time series was proposed. Specifically, a comprehensive piecewise linear method for time series was first proposed. The method consisted of a linear piecewise algorithm based on the second-order derivative for extracting …

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Obstacle Avoidance Motion In Mobile Robotics, Yunchao Tang, Shaojun Qi, Lixue Zhu, Xianrong Zhuo, Yunqi Zhang, Fan Meng Jan 2024

Obstacle Avoidance Motion In Mobile Robotics, Yunchao Tang, Shaojun Qi, Lixue Zhu, Xianrong Zhuo, Yunqi Zhang, Fan Meng

Journal of System Simulation

Abstract: The advancement of artificial intelligence technology has significantly enhanced the utilization of mobile robots in various fields such as industry, aerospace, and agriculture. The autonomous obstacle avoidance capability of these robots is crucial to the safety and efficiency of their operations in diverse settings. Path planning, a key technology in obstacle avoidance, plays an essential role in the overall performance of these systems. This paper presents a comprehensive review of path planning technology for mobile robots, categorizing the algorithms into global planning and local obstacle avoidance according to their operational requirements. Specific focus is given to the global planning …

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Multi-Uav Collaborative Trajectory Planning Algorithm For Urban Ultra-Low-Altitude Air Transportation Scenario, Jie Cheng, Yuan Zheng, Chenglong Li, Bo Jiang Jan 2024

Multi-Uav Collaborative Trajectory Planning Algorithm For Urban Ultra-Low-Altitude Air Transportation Scenario, Jie Cheng, Yuan Zheng, Chenglong Li, Bo Jiang

Journal of System Simulation

Abstract: The rapid development of the drone industry has promoted the opening of low-altitude, forming a wave of ultra-low-altitude air transportation in cities sweeping over the world. However, the existing trajectory planning algorithms do not consider the division method and operating rules of the ultra-low-altitude airspace. They are not suitable for the collaborative trajectory planning of multiple UAVs in the urban ultra-low-altitude air transportation scenario, which may restrict the development of the ultra-low-altitude air transportation industry. This paper explores a multi-UAV collaborative trajectory planning method for urban ultra-low-altitude air transportation scenario based on the airspace flight altitude layer architecture. Specifically, …

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Multi-View Depth Estimation Based On Adaptive Space Feature Enhancement, Dong Wei, Huan Liu, Xiaohan Zhang, Changkai Li, Tianyi Sun, Ziyou Zhang Jan 2024

Multi-View Depth Estimation Based On Adaptive Space Feature Enhancement, Dong Wei, Huan Liu, Xiaohan Zhang, Changkai Li, Tianyi Sun, Ziyou Zhang

Journal of System Simulation

Abstract: A multi-view depth estimation algorithm based on adaptive space feature enhancement (ASFE) is presented to improve the multi-view depth estimation accuracy. A multi-scale feature extraction module composed of an improved feature pyramid network (FPN) and ASFE is designed. This module obtains multi-scale feature maps with global context-aware information and coordinate information. The residual learning network is used to optimize the depth map to prevent the problem of blurred reconstructed edges in multiple convolution operations. The proposed algorithm constructs a focal loss function through the idea of classification to enhance the prediction ability of the network model. The experimental results …

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Visual Monitoring System Of Digital Twin Workshop For Process Manufacturing, Yanchao Yin, Jiasheng Feng, Bin Yi, Wang Li, Qingwen Yin Jan 2024

Visual Monitoring System Of Digital Twin Workshop For Process Manufacturing, Yanchao Yin, Jiasheng Feng, Bin Yi, Wang Li, Qingwen Yin

Journal of System Simulation

Abstract: To solve the problem of poor real-time and accuracy of process manufacturing monitoring, this paper proposes a visual monitoring system architecture of digital twin workshop based on production factor data, production process, and multi-process equipment entity object amid the rapid development of digital twin technology and increasingly close integration with the manufacturing industry. Twin modeling is conducted on multi-process coupling production line entity objects from multiple dimensions such as element, state, and operation logic. Based on key technologies of data collection and transmission of OPC UA (OLE for process control unified archiecture) unified architecture and real-time drive of the …

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Reentrant Hybrid Flow Shop Scheduling Problem Based On Moma, Hongbin Qin, Chenxiao Li, Hongtao Tang, Feng Zhang Jan 2024

Reentrant Hybrid Flow Shop Scheduling Problem Based On Moma, Hongbin Qin, Chenxiao Li, Hongtao Tang, Feng Zhang

Journal of System Simulation

Abstract: For the characteristics of multi-variety, large-scale and mixed-flow production of reentrant manufacturing systems, the reentrant hybrid flow shop scheduling problem with batch processors (BPRHFSP) is constructed, and an improved multi-objective mayfly algorithm (MOMA) is proposed for BPRHFSP. Firstly, decoding rules for single-piece processing stage and batch-processing stage are proposed. Then, a reverse learning initialization strategy based on logistic chaotic mapping is designed to improve the quality of the initial solution of the algorithm, also an improved mayfly mating strategy is designed to improve the local search ability of MOMA. Finally, a VND-based mayfly movement strategy is designed based on …

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Research On Campus Epidemic Evolution Based On Multi-Scale Modeling And Simulation In Microscopic & Microscopic View, Mingwei Hu, Wenjie Yang Jan 2024

Research On Campus Epidemic Evolution Based On Multi-Scale Modeling And Simulation In Microscopic & Microscopic View, Mingwei Hu, Wenjie Yang

Journal of System Simulation

Abstract: High density of population leads to high possibility of cross-infection. It is necessary to focus on campus epidemic prevention and control. Basing on existing studies in macroscopic or microscopic view, this paper proposed a multi-scale means to analyze a short-term evolution of Corona virus disease 2019 (COVID-19) on campus and estimated the efficiency of prevention strategies. Macroscopic model was based on the susceptible-exposed-infections-recovered(SEIR) model, which exported the time curve of the number of asymptomatic patients and symptomatic patients. Microscopic model combined discrete event simulation modeling and agent-based modeling to simulate the behavior of campus students and the state evolution …

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Multi-Model Soft Sensor Modeling Under Help-Training Strategy, Luosuyang He, Weili Xiong Jan 2024

Multi-Model Soft Sensor Modeling Under Help-Training Strategy, Luosuyang He, Weili Xiong

Journal of System Simulation

Abstract: Due to the strong nonlinearity, multi-stage coupling, and the small number of labeled samples in complex industrial processes, it is difficult for traditional global soft sensor models to accurately describe the whole process. Therefore, a multi-model soft sensor modeling method under the helptraining strategy is proposed. This method uses a fuzzy C-means (FMC) clustering algorithm to mine similar samples in the sample set and build several sub-models. By introducing the help-training strategy, a collaborative training framework based on main and auxiliary learners is formed, and a confidence evaluation mechanism is designed to eliminate error samples and expand the modeling …

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Sense Of Belonging Of Underrepresented Students: Role Of Faculty Inclusiveness And Online Versus Campus Learning, Elisavet Chaoua Intoumpor Jan 2024

Sense Of Belonging Of Underrepresented Students: Role Of Faculty Inclusiveness And Online Versus Campus Learning, Elisavet Chaoua Intoumpor

Walden Dissertations and Doctoral Studies

No abstract provided.

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Strategy Optimization Method Of Multi-Dimension Projection Based On Deep Reinforcement Learning, Jing An, Guangya Si, Lei Zhang Jan 2024

Strategy Optimization Method Of Multi-Dimension Projection Based On Deep Reinforcement Learning, Jing An, Guangya Si, Lei Zhang

Journal of System Simulation

Abstract: Based on the perfect performance of deep reinforcement learning (DRL) in strategy optimization, this paper proposes a strategy optimization method of action taking the multi-dimension projection action as the main research object. The method combines the simulation experiment method with the DRL method. After analyzing the current situation of strategy optimization research, the deep learning framework is selected according to the research problems, and a DRL multi-dimension projection strategy model based on the asynchronous advantage actor-critic (A3C) algorithm is constructed. Through simulation experiments, the interactive learning between the DRL model and the simulation of "out of the loop" is …

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A Simulation Method Based On Multi-Source Sensors For Aircraft Type Identification, Shaozhu Gu, Yuxin Ying, Huajie Zhang, Yiqi Tong Jan 2024

A Simulation Method Based On Multi-Source Sensors For Aircraft Type Identification, Shaozhu Gu, Yuxin Ying, Huajie Zhang, Yiqi Tong

Journal of System Simulation

Abstract: Existing simulation methods for aircraft type identification mainly focus on a single sensor and a single target. They do not consider the joint acquisition of aircraft parameters by various sensor devices such as optoelectronics, radar, and electronic detection in real scenarios, leading to the simple simulation scenarios. This paper proposes a simulation platform based on multi-source sensors. Specifically, the platform includes an infrared image simulator that uses a cycleGAN network to generate infrared images of the aircraft, a flight simulator that adopts the three-degree-of-freedom flight control method to generate the movement trajectory of the aircraft, a radar simulator, that …

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Current Status And Applications Of Microbial Chassis Strains For Chinese Biomanufacturing Industry, Guoqiang Chen, Fuqing Wu, Shuang Zheng, Jun Ding, Junting Sheng Jan 2024

Current Status And Applications Of Microbial Chassis Strains For Chinese Biomanufacturing Industry, Guoqiang Chen, Fuqing Wu, Shuang Zheng, Jun Ding, Junting Sheng

Bulletin of Chinese Academy of Sciences (Chinese Version)

Biomanufacturing is an important component of new quality productive forces, representing the commanding height of the new round of technological revolution and serving as a new engine for industrial transformation following information technology. It demonstrates vast application prospects in fields such as renewable energy, advanced materials, biomedicine, green food, and environmental protection. Biomanufacturing utilizes chassis microorganisms similar as “microchip” to produce various bioproducts via processes including chassis design and construction, large-scale cell cultivation, and product purifications. Most chassis microorganisms in biomanufacturing were not domestically identified. This study summarizes the types of common chassis microorganisms both domestically and internationally, as well …

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Recent Progress And Perspectives On Development Of Gene Editing Tools, Zixian Liu, Chengping Li, Gogo Jun-Jie Liu Jan 2024

Recent Progress And Perspectives On Development Of Gene Editing Tools, Zixian Liu, Chengping Li, Gogo Jun-Jie Liu

Bulletin of Chinese Academy of Sciences (Chinese Version)

The gene editing field has witnessed remarkable advancements in recent years, leading to the establishment and refinement of multidimensional gene editing platforms. These innovations have enabled precise targeted gene knockout, repair, and insertion. These tools have stimulated significant progress in fundamental research, therapeutics, agriculture, environment protection, and industrial applications. In this review, we provide a comprehensive overview of the milestones in gene editing tool development and offer perspectives on potential future directions for this rapidly evolving field.

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Digitalized Design Of Cell Factory Enables Green Biomanufacturing, Fanze Meng, Rui Cao, Bing Hu, Lei Qin, Chun Li Jan 2024

Digitalized Design Of Cell Factory Enables Green Biomanufacturing, Fanze Meng, Rui Cao, Bing Hu, Lei Qin, Chun Li

Bulletin of Chinese Academy of Sciences (Chinese Version)

Green manufacturing is a modern manufacturing mode in the consideration of both environmental impact and efficiency of resource utilization, it represents a significant component of the “new productive force”. Centered on cell factories, green biomanufacturing leverages renewable resources to efficiently produce products that conform to the concepts of low-carbon, green, and sustainable development. The design of high-performance cell factories is pivotal for achieving efficient green biomanufacturing. Nevertheless, traditional cell factory design processes are complex, time-consuming, and labor-intensive. With advancements in artificial intelligence, digital-assisted cell factory design has emerged as a solution to save time and reduce costs. By integrating technologies …

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Research Progress In High-Throughput Phenotype Testing Technology And Equipment For Engineering Cells Based On Microfluidics, Shuang Li, Xiaojie Guo, Haibo Chen, Sisi Chen, Xin Da, Zhenghui Li, Qinxiu Liu, Yi Wang, Xinhui Xing, Chong Zhang Jan 2024

Research Progress In High-Throughput Phenotype Testing Technology And Equipment For Engineering Cells Based On Microfluidics, Shuang Li, Xiaojie Guo, Haibo Chen, Sisi Chen, Xin Da, Zhenghui Li, Qinxiu Liu, Yi Wang, Xinhui Xing, Chong Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Engineering cells are a core component of green bio-manufacturing. The efficient testing and acquisition of engineering cells with the desired phenotype is a critical factor in the successful implementation of bio-manufacturing. In recent years, based on microfluidics technologies, non-culture type single-cell phenotype high-throughput test equipment and culture type phenotype high-throughput test equipment for the growth and metabolism of single cell in a bioreactor have been developed such as microdroplet and microchamber, realizing high-throughput, automated, miniaturized, and integrated testing of the phenotypes of engineering cells and providing a powerful tool for the breeding of engineering cells. This review systematically compiles the …

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Bioprocess Engineering And Intelligent Biomanufacturing, Guan Wang, Yingping Zhuang Jan 2024

Bioprocess Engineering And Intelligent Biomanufacturing, Guan Wang, Yingping Zhuang

Bulletin of Chinese Academy of Sciences (Chinese Version)

In the era of rapid development of synthetic biology, biomanufacturing, as a bridge between life sciences and engineering technologies, is gradually demonstrating its extraordinary potential to reshape industrial landscapes. However, challenges such as production efficiency, cost control, and process monitoring still hinder the smooth transition from laboratory innovations to industrial-scale implementation. Intelligent biomanufacturing has emerged as a new form of productive force, offering innovative solutions to these problems. This study reviews the latest advances in bioprocess engineering and intelligent biomanufacturing, focusing on three key technological systems: intelligent sensing, intelligent analysis, and intelligent control. Intelligent sensing technology acts as the “eyes” …

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Artificial Intelligence Driven Information Technology System Restructuring And Reconstruction—Review Of Information Science & Technology In China: A Roadmap To 2050, Xuehai Hong Jan 2024

Artificial Intelligence Driven Information Technology System Restructuring And Reconstruction—Review Of Information Science & Technology In China: A Roadmap To 2050, Xuehai Hong

Bulletin of Chinese Academy of Sciences (Chinese Version)

The Information Science & Technology in China: A Roadmap to 2050 and Information Technology: Accelerating the Integration of Human Machine Things have predicted the long-term development of China’s information technology field. This study reviews the development and changes in the field of information technology in the past 15 years, and compares them with the initial predictions, pointing out that some important judgments made at the beginning were in line with expectations. In recent years, the global development of information technology has entered a slow period, while the rapid evolution of the new generation of artificial intelligence will bring new opportunities …

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Strengthen Research On Environmental Control Technologies And Management Policies For Emerging Contaminants In China, Ying Ma, Xiang Li, Yongming Luo Jan 2024

Strengthen Research On Environmental Control Technologies And Management Policies For Emerging Contaminants In China, Ying Ma, Xiang Li, Yongming Luo

Bulletin of Chinese Academy of Sciences (Chinese Version)

The prevention and management of emerging contaminants (ECs) have become critical measures in China’s battle against environmental pollution. This study focuses on the environmental control technologies and policy governance related to emerging contaminants (ECs), analyzing their environmental pathways and challenges to public health, and highlighting advancements and limitations in current physical, chemical, and biological control technologies. Based on a comprehensive analysis of international policies and regulations on ECs control, the study identifies existing challenges and shortcomings in domestic management. Recommendations are proposed to enhance research on environmental control technologies and policies for ECs in China, aiming to provide insights for …

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Forecast Of China’S Economic Growth Rate In 2025 And Policy Suggestions, Xikang Chen, Cuihong Yang, Kunfu Zhu, Huijuan Wang, Xinru Li, Yu Zhao Jan 2024

Forecast Of China’S Economic Growth Rate In 2025 And Policy Suggestions, Xikang Chen, Cuihong Yang, Kunfu Zhu, Huijuan Wang, Xinru Li, Yu Zhao

Bulletin of Chinese Academy of Sciences (Chinese Version)

In 2024, China’s economy has shown steady progress, maintaining a relatively high growth rate. This study reviews the economic performance of China in 2024 and analyzes the domestic and international conditions for the next period. Using a system-based comprehensive factor prediction method, the study forecasts the economic growth rate for 2025, which indicates that China’s economy is expected to maintain stable operation, with a growth rate of around 4.8%, and is expected to reach around 5% if the package of incremental policies will be effectively implemented and boost the market. Based on the current economic situation, this study provides specific …

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Digital Scientists And Parallel Sciences: The Origin And Goal Of Ai For Science And Science For Ai, Feiyue Wang, Yutong Wang Jan 2024

Digital Scientists And Parallel Sciences: The Origin And Goal Of Ai For Science And Science For Ai, Feiyue Wang, Yutong Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Based on recent development in foundation model, parallel intelligence, decentralized science (DeSci), and other artificial intelligence (AI) technologies, from AI for Science (AI4S) to Science for AI (S4AI), this study discusses parallel sciences and digital scientists, and their impact and significance in paradigm shift for research and development as well as Industry 5.0 and intelligent industry, which demonstrate that paradigm shift is emerging and accelerating, and we must be prepared.

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Computing System For Simulation Intelligence, Guangming Tan, Weile Jia, Zhan Wang, Guojun Yuan, En Shao, Ninghui Sun Jan 2024

Computing System For Simulation Intelligence, Guangming Tan, Weile Jia, Zhan Wang, Guojun Yuan, En Shao, Ninghui Sun

Bulletin of Chinese Academy of Sciences (Chinese Version)

This study refers computer simulation in scientific research to as scientific simulation. Based on its narrow and broad definitions, this study divides scientific simulation into three stages: numerical computation, simulation intelligence, and science brain. Now, scientific simulation is entering the era of simulation intelligence, i. e., driven by scientific big data and artificial intelligence technology, scientific simulation is shifting from traditional numerical simulation to simulation integrated with artificial intelligence. In order to understand what the right computing system for simulation intelligence is, the design guidelines, basic methods, and key technical problems are discussed.

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Large Model-Driven, Human-Computer Collaborative Robotic Ai-Chemist Cloud Facility, Yuanyuan Chong, Shuo Feng, Song Wang, Jun Jiang Jan 2024

Large Model-Driven, Human-Computer Collaborative Robotic Ai-Chemist Cloud Facility, Yuanyuan Chong, Shuo Feng, Song Wang, Jun Jiang

Bulletin of Chinese Academy of Sciences (Chinese Version)

At present, chemical science is facing unprecedented opportunities and challenges due to the technological changes brought by artificial intelligence. In order to promote the paradigm shift in chemical research, this study proposes the construction plan of the robotic AI-chemist cloud facility. This system realizes a new paradigm of scientific research by collecting multi-channel data to build a database, developing large scientific models enhanced by chemical knowledge, constructing clusters of robotic facilities, and building an intelligent management decision system, which will dramatically improve the efficiency of scientific research and solve scientific problems in terminal applications. This infrastructure is expected to change …

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Ai For Science: Ai Enabled Scientific Facility Transforms Fundamental Research, Xiaokang Yang, Yanyan Xu, Lu Chen, Yunbo Wang, Yue Gao, Jidong Tian, Kai Yu, Yaohui Jin, Hong Mei Jan 2024

Ai For Science: Ai Enabled Scientific Facility Transforms Fundamental Research, Xiaokang Yang, Yanyan Xu, Lu Chen, Yunbo Wang, Yue Gao, Jidong Tian, Kai Yu, Yaohui Jin, Hong Mei

Bulletin of Chinese Academy of Sciences (Chinese Version)

In recent years, artificial intelligence (AI) has achieved numerous disruptive breakthroughs in frontier scientific and technological fields, such as AlphaFold2 for protein structure prediction, intelligent control of nuclear fusion, and drug design for COVID-19. These achievements indicate that AI for Science is becoming a new paradigm in research. To achieve fundamental scientific innovation and major technological breakthroughs in the era of intelligence, two core issues should be addressed: 1) how to harness the generality and creativity of the new-generation of AI, especially generative AI and large language models (LLMs), to promote the formation of new paradigms; 2) how to empower …

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