SMC-AI: Scaling Monte Carlo Simulation to Four Trillion Atoms with AI Accelerators
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Xianglin, Yang, Kai, Zhou, Fanli, Liu, Yongxiang, Chen, Hao, Zhang, Yijia, Fan, Dengdong, Li, Wenbo, Wang, Bingqiang, Zhang, Shixun, Xu, Pengxiang, Tian, Yonghong |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Revealing Nanostructures in High-Entropy Alloys via Machine-Learning Accelerated Scalable Monte Carlo Simulation
by: Liu, Xianglin, et al.
Published: (2025)
by: Liu, Xianglin, et al.
Published: (2025)
SMC-X: A Distributed Scalable Monte Carlo Simulation Method for Chemically Complex Alloys
by: Liu, Xianglin, et al.
Published: (2025)
by: Liu, Xianglin, et al.
Published: (2025)
Towards Computational Microscope of Chemical Order-Disorder via ML-Accelerated Monte Carlo Simulation
by: Zhou, Fanli, et al.
Published: (2026)
by: Zhou, Fanli, et al.
Published: (2026)
PowerStep: Memory-Efficient Adaptive Optimization via $\ell_p$-Norm Steepest Descent
by: Lu, Yao, et al.
Published: (2026)
by: Lu, Yao, et al.
Published: (2026)
SGEMM-cube: Precision-Recovery FP32 GEMM Approximation on Ascend NPUs with FP16 Matrix Engines
by: Xue, Weicheng, et al.
Published: (2025)
by: Xue, Weicheng, et al.
Published: (2025)
Calibrating and Rotating: A Unified Framework for Weight Conditioning in PEFT
by: Chang, Da, et al.
Published: (2025)
by: Chang, Da, et al.
Published: (2025)
PCL-Reasoner-V1.5: Advancing Math Reasoning with Offline Reinforcement Learning
by: Lu, Yao, et al.
Published: (2026)
by: Lu, Yao, et al.
Published: (2026)
Halpern Acceleration of the Inexact Proximal Point Method of Rockafellar
by: Zhang, Liwei, et al.
Published: (2025)
by: Zhang, Liwei, et al.
Published: (2025)
On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters
by: Lab, Mind, et al.
Published: (2026)
by: Lab, Mind, et al.
Published: (2026)
DSO: A GPU Energy Efficiency Optimizer by Fusing Dynamic and Static Information
by: Wang, Qiang, et al.
Published: (2024)
by: Wang, Qiang, et al.
Published: (2024)
Every Step Evolves: Scaling Reinforcement Learning for Trillion-Scale Thinking Model
by: Ling Team, et al.
Published: (2025)
by: Ling Team, et al.
Published: (2025)
A Scoping Review of AI-Driven Digital Interventions in Mental Health Care: Mapping Applications Across Screening, Support, Monitoring, Prevention, and Clinical Education
by: Ni, Yang, et al.
Published: (2026)
by: Ni, Yang, et al.
Published: (2026)
Intern-S1-Pro: Scientific Multimodal Foundation Model at Trillion Scale
by: Zou, Yicheng, et al.
Published: (2026)
by: Zou, Yicheng, et al.
Published: (2026)
New Interpretation for error propagation of data-driven Reynolds stress closures via global stability analysis
by: Shan, Xianglin, et al.
Published: (2024)
by: Shan, Xianglin, et al.
Published: (2024)
State of AI: An Empirical 100 Trillion Token Study with OpenRouter
by: Aubakirova, Malika, et al.
Published: (2026)
by: Aubakirova, Malika, et al.
Published: (2026)
Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision
by: Hudson, Nathaniel, et al.
Published: (2024)
by: Hudson, Nathaniel, et al.
Published: (2024)
Every Activation Boosted: Scaling General Reasoner to 1 Trillion Open Language Foundation
by: Ling Team, et al.
Published: (2025)
by: Ling Team, et al.
Published: (2025)
ASI-Evolve: AI Accelerates AI
by: Xu, Weixian, et al.
Published: (2026)
by: Xu, Weixian, et al.
Published: (2026)
Deep Learning-Enabled Supercritical Flame Simulation at Detailed Chemistry and Real-Fluid Accuracy Towards Trillion-Cell Scale
by: Guo, Zhuoqiang, et al.
Published: (2025)
by: Guo, Zhuoqiang, et al.
Published: (2025)
Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens
by: Liu, Jiacheng, et al.
Published: (2024)
by: Liu, Jiacheng, et al.
Published: (2024)
Uncertainty in AI-driven Monte Carlo simulations
by: Tzivrailis, Dimitrios, et al.
Published: (2025)
by: Tzivrailis, Dimitrios, et al.
Published: (2025)
Accelerated Quantum Circuit Monte-Carlo Simulation for Heavy Quark Thermalization
by: Qian, Wenyang
Published: (2024)
by: Qian, Wenyang
Published: (2024)
GPU-Accelerated Monte Carlo Simulation and Experimental Study of Radiative Transfer in Multiple Scattering Media
by: Wang, Binhan, et al.
Published: (2025)
by: Wang, Binhan, et al.
Published: (2025)
DROIDCCT: Cryptographic Compliance Test via Trillion-Scale Measurement
by: Moghimi, Daniel, et al.
Published: (2026)
by: Moghimi, Daniel, et al.
Published: (2026)
The Trillion Dollar Shift
by: Hoek, Marga
Published: (2019)
by: Hoek, Marga
Published: (2019)
Quantifying Student Success with Generative AI: A Monte Carlo Simulation Informed by Systematic Review
by: Kayadibi, Seyma Yaman
Published: (2025)
by: Kayadibi, Seyma Yaman
Published: (2025)
Generative AI-Based Monte Carlo Simulation for Method Evaluation Using Synthetic Multilevel Data
by: Suk, Youmi, et al.
Published: (2026)
by: Suk, Youmi, et al.
Published: (2026)
High‐Density Co–Ir–Co Triple‐Atom Sites in Salphen‐Fused Nanoribbons Break the Activity‐Stability Dilemma in Alkaline Oxygen Evolution
by: Zhen Zhang, et al.
Published: (2026)
by: Zhen Zhang, et al.
Published: (2026)
Accelerated Markov Chain Monte Carlo Algorithms on Discrete States
by: Zhou, Bohan, et al.
Published: (2025)
by: Zhou, Bohan, et al.
Published: (2025)
Trillion-atom molecular dynamics simulations with ab initio accuracy
by: Suo, Pengfei, et al.
Published: (2026)
by: Suo, Pengfei, et al.
Published: (2026)
Scaling Kinetic Monte-Carlo Simulations of Grain Growth with Combined Convolutional and Graph Neural Networks
by: Tian, Zhihui, et al.
Published: (2025)
by: Tian, Zhihui, et al.
Published: (2025)
Valuation Model of Chinese Convertible Bonds Based on Monte Carlo Simulation
by: Liu, Yu
Published: (2024)
by: Liu, Yu
Published: (2024)
Experiments and Numerical Simulation of SMC in Compression Molding
by: D. -TC. Kim, et al.
Published: (1993)
by: D. -TC. Kim, et al.
Published: (1993)
Iron Catalyzed Radical Alkylation of Cyclic Ketimines with Olefins via Metal Hydride Atom Transfer
by: Xixi Hu, et al.
Published: (2025)
by: Xixi Hu, et al.
Published: (2025)
BeyondWeb: Lessons from Scaling Synthetic Data for Trillion-scale Pretraining
by: DatologyAI, et al.
Published: (2025)
by: DatologyAI, et al.
Published: (2025)
CAT: Customized Transformer Accelerator Framework on Versal ACAP
by: Zhang, Wenbo, et al.
Published: (2024)
by: Zhang, Wenbo, et al.
Published: (2024)
Scaling Retrieval-Based Language Models with a Trillion-Token Datastore
by: Shao, Rulin, et al.
Published: (2024)
by: Shao, Rulin, et al.
Published: (2024)
Comparative Evaluation of VaR Models: Historical Simulation, GARCH-Based Monte Carlo, and Filtered Historical Simulation
by: Tian, Xin
Published: (2025)
by: Tian, Xin
Published: (2025)
The Agent Behavior: Model, Governance and Challenges in the AI Digital Age
by: Zhang, Qiang, et al.
Published: (2025)
by: Zhang, Qiang, et al.
Published: (2025)
Blending Is All You Need: Cheaper, Better Alternative to Trillion-Parameters LLM
by: Lu, Xiaoding, et al.
Published: (2024)
by: Lu, Xiaoding, et al.
Published: (2024)
Similar Items
-
Revealing Nanostructures in High-Entropy Alloys via Machine-Learning Accelerated Scalable Monte Carlo Simulation
by: Liu, Xianglin, et al.
Published: (2025) -
SMC-X: A Distributed Scalable Monte Carlo Simulation Method for Chemically Complex Alloys
by: Liu, Xianglin, et al.
Published: (2025) -
Towards Computational Microscope of Chemical Order-Disorder via ML-Accelerated Monte Carlo Simulation
by: Zhou, Fanli, et al.
Published: (2026) -
PowerStep: Memory-Efficient Adaptive Optimization via $\ell_p$-Norm Steepest Descent
by: Lu, Yao, et al.
Published: (2026) -
SGEMM-cube: Precision-Recovery FP32 GEMM Approximation on Ascend NPUs with FP16 Matrix Engines
by: Xue, Weicheng, et al.
Published: (2025)