Synthesis, characterization and electrochromic properties of conducting copolymers of 2,3-bis-[(3-thienylcarbonyl)oxy]propyl 3-thiophene carboxylate with thiophene and pyrrole

Umut Bulut

doi:10.1016/j.eurpolymj.2004.07.005

Understanding thermodynamic mechanisms of 6-DOF thermal errors in complex manufacturing feed systems via a novel interpretable network with learned activation functions

2026-04-07

0

PRE

AI

J

Jihui Han

L

Liping Wang

王冬 (Dong Wang) *

X

Xuekun Li

T

Toru Kizaki *

N

Naohiko Sugita

DOI：10.1016/j.ijmachtools.2026.104390

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Abstract

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• Complex spatial–temporal error variations in feed systems are systematically modeled. • Interpretable neural networks decouple thermal drift and dynamic hysteresis. • The model identifies physically meaningful functional relationships from data. • Thermodynamic constraints ensure physically plausible predictive behaviors. • High accuracy is achieved without relying on opaque data-driven correlations.

Keywords:

thermal errors

feed systems

interpretable neural networks

thermodynamic constraints

spatial–temporal modeling

Understanding thermodynamic mechanisms of 6-DOF thermal errors in complex manufacturing feed systems via a novel interpretable network with learned activation functions

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