Adaptability assessment of the Enning road heritage district in China based on GA-BP neural network. [PDF]
Yu Q, Yang X, Wu Y, Fang K.
europepmc +1 more source
A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons
We benchmark six large atomistic foundation models on 2429 crystalline materials for phonon transport properties. The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces.
Md Zaibul Anam +5 more
wiley +1 more source
Forecasting second-hand house prices in China using the GA-PSO-BP neural network model. [PDF]
Wang J, Ji H, Wang L.
europepmc +1 more source
An AI‐assisted approach is introduced to decode synthesis–performance relationships in metal‐organic framework‐derived supercapacitor materials using Bayesian optimization and predictive modeling, streamlining the search for optimal energy storage properties.
David Gryc +8 more
wiley +1 more source
Nonlinear Decoupling Study of Six-Axis Acceleration Sensor Based on Improved BP Neural Network. [PDF]
Zhang J, Yu C, Du C, Hao Z, Sun Z.
europepmc +1 more source
Deep learning‐based denoising models are applied to DNA data storage systems to enhance error reduction and data fidelity. By integrating DnCNN with DNA sequence encoding methods, the study demonstrates significant improvements in image quality and correction of substitution errors, revealing a promising path toward robust and efficient DNA‐based ...
Seongjun Seo +5 more
wiley +1 more source
Coalbed Methane Productivity Prediction Using Gray Correlation Analysis and a GA-BP Neural Network: A Case Study in the Fukang Mining Area, Southern Junggar Basin. [PDF]
Zhang J +6 more
europepmc +1 more source
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 +8 more
wiley +1 more source
Optimization of Welding Parameters Using an Improved Hill-Climbing Algorithm Based on BP Neural Network for Multi-Bead Weld Smoothness Control. [PDF]
Tong Y, Quan GZ, Wang HT, Xiong W.
europepmc +1 more source
Research on wheelchair form design based on Kansei engineering and GWO-BP neural network. [PDF]
Cai W, Wang Z, Wang Y, Zhou M.
europepmc +1 more source

