Results 161 to 170 of about 6,084,559 (245)

Integrating self-attention and LSTM into TD3 for robust mobile robot navigation in dynamic environments. [PDF]

Sci Rep
Chen L, Tang Q, Xu R, Chen Y.
europepmc   +1 more source

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

SmartGridDrive: an integrated adaptive Q-learning framework for precision self-parking and reverse navigation in dynamic grid environments-a proof-of-concept study. [PDF]

Sci Rep
Dewangan RR, Thombre D, Parganiha V, Verma M, Dewangan BK, Pimpalkar A, Shelke N.   +6 more
europepmc   +1 more source

Effect of Ship Dimensions on Calculation Formula for Bow Collision Strength

The Journal of Japan Institute of Navigation, 1999
Kuniaki SHOJI, Tokiko TAKABAYASHI
openaire   +2 more sources

Accelerating Discovery of Organic Molecular Crystals via Materials Informatics and Autonomous Experiments

Advanced Intelligent Discovery, EarlyView.
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi, Kazuki Ishizaki, Ryo Fukasawa   +2 more
wiley   +1 more source

Effect of Velocity Alignment on the Packing of Active Particles. [PDF]

Micromachines (Basel)
Modi J, Jin R, Dong K, Fang G.
europepmc   +1 more source

Bubbles Acting as Micro End‐Effectors for Dexterous Manipulation and Sensing in Aqueous Environment

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Inspired by bubbles, this article proposes a low‐cost method for multifunctional manipulation and sensing using microbubbles in aqueous environments. Bubbles are easily generated in situ, enabling the safe and adaptive handling of microobjects and sensing of microforces and surface textures.
Zichen Xu, Qingsong Xu
wiley   +1 more source

How Many Kelvins Are Equivalent to One Electron-Volt: An Investigation of Energy-Temperature Scaling in Catalysis. [PDF]

Precis Chem
Leng Y, Zhu X.
europepmc   +1 more source

Predicting Performance of Hall Effect Ion Source Using Machine Learning

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su‐Jin Shin, Young‐Chul Ghim, Sanghoo Park, Wonho Choe   +8 more
wiley   +1 more source

Harnessing multi-modal deep learning for multi-drone navigation-based trajectory prediction system. [PDF]

Sci Rep
Alzahrani A.
europepmc   +1 more source