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ASPIRES 3. Young People's STEM Trajectories, Age 10-22: PHYSICS

• Authors : Archer, Louise; DeWitt, Jennifer

Subjects: Physics; STEM; Participation

• Source: Department of Education, Practice and Society, UCL Institute of Education: London, UK.

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Reviewing the role of the physics curriculum and its assessment in post-16 gender disparities

• Authors : Gourlay, H; Mujtaba, T

Subjects: Curriculum; gender; girls

• Source: International Journal of Science Education , 47 (15-16) pp. 2045-2070. (2025)

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Suspension physics govern the multiscale dynamics of blood flow in sickle cell disease

• Authors : Szafraniec, Hannah M; Bull, Freya; Higgins, John M

• Source: Science Advances , 12 (1) , Article eadx3842. (2026)

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Estimation of Central Aortic Pressure Waveforms by Combination of a Meta-Learning Neural Network and a Physics-Driven Method

• Authors : Sun, Hao; Ma, Junling; Li, Bao

Subjects: Central aortic pressure wave; meta‐learning; neural network

• Source: International Journal for Numerical Methods in Biomedical Engineering , 41 (1) , Article e3905. (2025)

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Hottel Zone Physics-Constrained Networks for Industrial Furnaces

• Authors : Dutta, Ujjal KR; Lipani, Aldo; Wang, Chuan

Subjects: Extended LSTM (xLSTM); furnace; Hottel zone method

• Source: IEEE Access , 13 pp. 75130-75152. (2025)

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Probing beyond the standard model physics with double-beta decays

• Authors : Bossio, Elisabetta; Agostini, Matteo

Subjects: double-beta decay; neutrino properties; particle physics

• Source: Journal of Physics G: Nuclear and Particle Physics , 51 (2) , Article 023001. (2024)

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f-PICNN: A physics-informed convolutional neural network for partial differential equations with space-time domain

• Authors : Yuan, Biao; Wang, He; Heitor, Ana

Subjects: Science & Technology; Technology; Physical Sciences

• Source: Journal of Computational Physics , 515 , Article 113284. (2024)

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A Physics-Informed Gaussian Process Regression-Based Meta Model for Rapid Characterization of Permanent Magnet Synchronous Machines

• Authors : Asef, Pedram; Silva, Marcelo D; Badewa, Oluwaseun A

Subjects: Gaussian Process Regression; Meta-Model; IPM

• Source: In: 2025 International Electric Machines and Drives Conference (IEMDC). IEEE (2025) (In press).

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Solving Poisson Problems in Polygonal Domains with Singularity Enriched Physics Informed Neural Networks

• Authors : Hu, Tianhao; Jin, Bangti; Zhou, Zhi

Subjects: Poisson equation; corner singularity; edge singularity

• Source: SIAM Journal on Scientific Computing , 46 (4) C369-C398. (2024)

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Sampling Algorithms in Statistical Physics: A Guide for Statistics and Machine Learning

• Authors : Faulkner, Michael; Livingstone, Samuel

Subjects: event chain Monte Carlo; Glauber dynamics; hard-disk model

• Source: Statistical Science , 39 (1) pp. 137-164. (2024)

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