Results 201 to 210 of about 403,099 (290)

Concrete multi-agent path planning enabling kinodynamically aggressive maneuvers. [PDF]

Npj Robot
Okumura K, Yang G, Gao Z, Woo H, Prorok A.   +4 more
europepmc   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Dynamic chain for scheduling of the multi-AGV systems with load-aware motion profiling. [PDF]

Sci Rep
Nguyen TP, Nguyen H, Phan DM, Ngo HQT.
europepmc   +1 more source

Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties With Phonon‐Informed Datasets

Advanced Intelligent Discovery, EarlyView.
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez, Cibrán López, Edgardo Saucedo, Teruyasu Mizoguchi, Claudio Cazorla   +4 more
wiley   +1 more source

Rendering algorithm for 3D model of goods in power warehouse based on linear interpolation and 2D texture mapping. [PDF]

Sci Rep
Luo G, Chen X, Liu Q, Liu A, Zhang X, Tian L, Gao Y.   +6 more
europepmc   +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

Outdoor Warehouse Management: UAS-Driven Precision Tracking of Stacked Steel Bars. [PDF]

SN Comput Sci
Belbachir A, Ortiz AM, Hauge ET, Belbachir AN, Bonanno G, Ciccia E, Felline G.   +6 more
europepmc   +1 more source

The Interoperability Challenge in DFT Workflows Across Implementations

Advanced Intelligent Discovery, EarlyView.
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen, Tushar Singh Thakur, Manuel Dillenz, Johan M. Carlsson, Celso R. C. Rêgo, Eibar Flores, Hamidreza Hajiyani, Felix Hanke, Juan María García Lastra, Wolfgang Wenzel, Nicola Marzari, Tejs Vegge, Giovanni Pizzi, Ivano E. Castelli   +13 more
wiley   +1 more source

The development and use of data warehousing in clinical settings: a scoping review. [PDF]

Front Digit Health
Lyu S, Craig S, O'Reilly G, Taniar D.
europepmc   +1 more source