A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann +8 more
wiley +1 more source
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source
Path planning and obstacle avoidance with ISS framework for a UAV swarm under unified wind, sensor noise and delay disturbances. [PDF]
Karahan M, Kasnakoglu C.
europepmc +1 more source
A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle +5 more
wiley +1 more source
Research on dynamic model construction method based on RecurDyn secondary development. [PDF]
Zhao L, Yang S, Wang Y, Jin X.
europepmc +1 more source
Adaptive Localization for Underwater Nodes in Uncertain Environments: A Geometric Topology Perception-Enhanced Multi-Stage Reinforcement Learning Strategy. [PDF]
Hao L, Ma C, Cui J, Ao J.
europepmc +1 more source
A multi-criteria benchmarking framework for direct torque control strategies in induction motor drives. [PDF]
Elmaleeh MAA, Ahmed HY, Zeghid M.
europepmc +1 more source
A Multimodal Sensor-Based Self-Supervised Learning Framework for Low-Noise System State Prediction and Anomaly Detection. [PDF]
Guo K +6 more
europepmc +1 more source
Integrated full-color emission and near-infrared phosphorescence enabled by tunable self-assembly of a single chromophore. [PDF]
Liu ZH, Liu YZ, Hou XF, Wei JH, Chen XM.
europepmc +1 more source

