Heavy-tailed update distributions arise from information-driven self-organization in nonequilibrium learning. [PDF]
Zhang XY, Tang C.
europepmc +1 more source
Comparison of Triply Periodic Minimal Surface Energy Absorbers Under Uniaxial Compressive Loading
This study investigates LCD 3D printed Triply Periodic Minimal Surface (TPMS) structures as mechanical energy absorbers. By comparing various base designs and layered combinations under uniaxial compression, it identifies that a Diamond‐Gyroid sandwich structure offers superior performance.
Sergej Grednev +2 more
wiley +1 more source
Self-organization of tumor heterogeneity and plasticity
Pérez-González C +17 more
europepmc +1 more source
Symmetry Breaking in Chemical Systems: Engineering Complexity Through Self-Organization and Marangoni Flows. [PDF]
Gore S +9 more
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
Self-Assembling Conjugated Organic Materials with a Silazane Anchor Group: Synthesis, Self-Organization, and Semiconductor Properties. [PDF]
Bobrova EA +7 more
europepmc +1 more source
The community‐driven Platform MaterialDigital Core Ontology (PMDco) 3.0 is introduced as a Basic Formal Ontology‐aligned semantic backbone for the processing–structure–properties paradigm in Materials Science and Engineering. Modular engineering, automated releases, and validation workflows are highlighted and key semantic patterns for materials ...
Markus Schilling +15 more
wiley +1 more source
Self-organization of photonic structures in colloidal crystals in the AI era. [PDF]
Yadav N, Liu M, Wu Y, Yadav A, Zheng H.
europepmc +1 more source
We apply a foundational machine‐learning interatomic potential based on the graph atomic cluster expansion (GRACE) to simulate the commercial Ni‐based single‐crystal superalloy CMSX‐4. Hybrid Monte‐Carlo/molecular dynamics sampling resolves short‐range order in the γ phase and L12 sublattice occupancies in the γ’ phase and connects them to stacking ...
Aditya Vishwakarma +4 more
wiley +1 more source
Controlling Multiphase Coacervate Wetting and Self-Organization by Interfacial Proteins. [PDF]
Lu T +7 more
europepmc +1 more source

