Results 131 to 140 of about 1,850,478 (263)

Exploring research trends in modern machine learning through a statistical mechanics lens: an Ising-inspired modeling perspective

Exploring research trends in modern machine learning through a statistical mechanics lens: an Ising-inspired modeling ...
Gargiulo, Francesco, Esposito, Massimo, Marullo, Chiara, Buonaiuto, Giuseppe, Ciani, Daniele   +4 more
core   +1 more source

Transições de fase em modelos de ising cineticos [PDF]

, 1994
Dissertação (Mestrado) - Universidade Federal de Santa Catarina, Centro de Ciências Físicas e Matemáticas.Neste trabalho estudamos dois problemas relativos à transição de fases em modelos magnéticos através da equação Mestra.
Santos, Marcio
core  

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Scalable connectivity for Ising machines: Dense to sparse

Physical Review Applied
In recent years, hardware implementations of Ising machines have emerged as a viable alternative to quantum computing for solving hard optimization problems among other applications. Unlike quantum hardware, dense connectivity can be achieved in classical systems.
M. Mahmudul Hasan Sajeeb, Navid Anjum Aadit, Shuvro Chowdhury, Tong Wu, Cesely Smith, Dhruv Chinmay, Atharva Raut, Kerem Y. Camsari, Corentin Delacour, Tathagata Srimani   +9 more
openaire   +3 more sources

Photonic Ising Machines with Highest Coupling Resolution

We present a novel photonic Ising machine based on Sidon set, which demonstrates a record-high coupling resolution.
Guangfeng Wang, Xianfeng Chen, Erez Hasman, Bo Wang, Huaqiang Li   +4 more
core   +1 more source

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

Advanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury, Sebastian Gratz‐Kelly, Eric Wagner, Paul Motzki, Martina Lehser   +4 more
wiley   +1 more source

Parametric Frequency Divider Based Ising Machines

Physical Review Letters
We report on a new class of Ising Machines (IMs) that rely on coupled parametric frequency dividers (PFDs) as macroscopic artificial spins. Unlike the IM counterparts based on subharmonic injection locking (SHIL), PFD IMs do not require strong injected continuous wave signals or applied DC voltages.
Nicolas Casilli, Tahmid Kaisar, Luca Colombo, Siddhartha Ghosh, Philip X.-L. Feng, Cristian Cassella   +5 more
openaire   +3 more sources

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

Advanced Electronic Materials
Ising machines are specialized hardware solvers designed to solve computationally hard combinatorial optimization problems by finding ground states of the Ising model.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
doaj   +1 more source

Machine learning prediction of the mechanical properties of injection-molded polypropylene through X-ray diffraction analysis

Science and Technology of Advanced Materials
Predicting the mechanical properties of polymer materials using machine learning is essential for the design of next-generation of polymers. However, the strong relationship between the higher-order structure of polymers and their mechanical properties ...
Ryo Tamura, Kenji Nagata, Keitaro Sodeyama, Kensaku Nakamura, Toshiki Tokuhira, Satoshi Shibata, Kazuki Hammura, Hiroki Sugisawa, Masaya Kawamura, Teruki Tsurimoto, Masanobu Naito, Masahiko Demura, Takashi Nakanishi   +12 more
doaj   +1 more source

Factorization Machine with Iterative Quantum Reverse Annealing: A Python Package for Batch Black‐Box Optimization With Reverse Quantum Annealing

Advanced Intelligent Discovery, EarlyView.
Factorization machine with iterative quantum reverse annealing (FMIRA) leverages quantum reverse annealing to perform batch black‐box optimization. Factorization machine with quantum annealing (FMQA) is a widely used python package for solving black‐box optimization problems using D‐Wave quantum annealers.
Andrejs Tučs, Ryo Tamura, Koji Tsuda
wiley   +1 more source