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Earlier sources: Physics
This science thread follows physics through original research, public projects, and source reports. Read the evidence below to see which developments are represented in SYMTRI’s archive.
SYMTRI organizes observations from public sources into a living map. Connections reflect shared subject matter; they do not establish causation or endorse a source.
Open in the map ↗323 classified signals in the fourteen-day window. These counts include signals awaiting readable evidence.
Earlier sources
Up to ten sources with readable evidence, ordered by their feed timestamp. These archive sources can be older than the live fourteen-day window. This list is a sample, not a measure of total activity. Dates distinguish paper publication, repository creation, model/dataset activity, Hacker News posts, and KEV catalog additions. “First archived” records when SYMTRI first stored the signal.
- Hacker News · Posted on Hacker News · First archived
Nobel Prize in Physics 2026 ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Nobel Prize in Physics 2026: Francis Halzen ↗
Hacker News discussion.
- GitHub · Repository created · First archived
eigenorbit/eigenkit ↗
Open-source Python library for quantum computing. Build quantum algorithms once, run them on simulators such as Qiskit Aer, PennyLane, CUDA-Q and Qulacs, and on IBM Quantum, IQM and Amazon Braket hardware.
- OpenAlex · Published · First archived
Temporal organization in living systems: toward a physics of life ↗
Abstract Classical dynamical systems theory is based on asymptotic stability assumptions. This approach has long dominated theoretical biology, providing insight into stability and functional organization. Yet, living systems rarely converge to static attractors; rather, they adapt continuously and exhibit structural plasticity. We examine the limitations of purely asymptotic descriptions and consider extensions such as metastability and chronotaxicity. We argue that temporal organization provides a useful perspective for understanding living systems and examine how chronotaxicity offers a mat…
- OpenAlex · Published · First archived
Readiness and challenges of developing countries in the global quantum revolution ↗
Quantum Education (QE) has gained worldwide importance due to the fast development of Quantum Information Science and Engineering (QISE). As per the strategy, quantum technology may spur innovation across industries and boost economic growth. Quantum computing research output and investment differ between developing and industrialized countries, highlighting the need for targeted efforts to close the gap. Consequently, while developed nations have advanced much in quantum research and development, underdeveloped countries still confront resource restrictions, limited infrastructure, and knowle…
- OpenAlex · Published · First archived
Physics-based finite element modelling of dynamic resistive switching in flexible HfO2 and Ta2O5 memristive devices ↗
Resistive switching (RS) in metal-oxides is governed by a complex interplay of electronic transport, thermal effects, and ionic migration within the bulk and at the interfaces of metal-insulator-metal (MIM) structures. Despite significant progress in experimental and theoretical understanding of RS, the coupled transient evolution of switching process remains inadequately understood. In this work, a coupled multiphysics finite-element model was developed by simultaneously solving governing equations for electronic transport, heat conduction, and oxygen-vacancy migration. The experimentally mea…
- OpenAlex · Published · First archived
Full-vectorial physics-informed neural operator for forward and inverse waveguide modeling ↗
Abstract In this work, we tailor Physics-Informed Neural Operators for full-vectorial modal analysis of optical waveguides. We develop a two-headed neural operator, conditioned on coordinate inputs alongside spatial material profiles and operational parameters. This enables a unified framework that simultaneously predicts the effective indices and the corresponding electromagnetic field distributions while preserving the discretization invariance of neural operators. To ensure stable training, we employ a normalized eigenvalue prediction strategy, enforced by construction and complemented by a…
- OpenAlex · Published · First archived
Student GenAI use under changing institutional policies: a mixed-methods case study in undergraduate physics ↗
The rise of generative artificial intelligence (GenAI) in higher education and the resulting institutional responses have prompted research to support evidence-based policy decisions. As policies change to adjust to this disruptive technology, it demands agility from educators. The impacts of these policy changes on student behaviours and outcomes are currently poorly understood. This study examines how students used GenAI across three assessments in an undergraduate physics unit after assessment redesign forced by institutional policy that permitted purpose-specific and open use. Using a mixe…
- OpenAlex · Published · First archived
A Mixed Formulation Physics-Informed Neural Network for a Forward and an Inverse Euler–Bernoulli Dynamic Beam Problem ↗
A mixed formulation physics-informed neural network (PINN) for solving a forward and an inverse nonlinear Euler–Bernoulli dynamic beam problem is proposed. This approach avoids the computation of fourth-order spatial derivatives in the loss function, thereby mitigating training instability and allowing seamless integration of dynamic forward and inverse problems. A sensitivity analysis is provided for the investigation of the uniqueness of the solution in the inverse problems. The developed programming code is based on open-source Python software 3.13 for deep learning. The impact of the struc…
- OpenAlex · Published · First archived
Curriculum-Aligned AR for Secondary Physics: Learning and Engagement in Circular Motion and Magnetic Force ↗
Static diagrams inherently flatten the dynamic, three-dimensional interplay of forces and motion, leaving secondary students reliant on imagination to grasp invisible vectors—a challenge consistently documented in high-stakes physics examinations. While augmented reality (AR) offers a promising medium to externalise these abstractions, rigorous classroom evidence comparing theory-driven, curriculum-aligned AR with standard instructional materials remains scarce. Grounded in Variation Theory, Cognitive Load Theory, and Constructivism, this study evaluated a smartphone-based AR application featu…
Live window recorded . This is the ingestion observation time, not the publication or discovery date of each source.
How to assess evidence about Physics
Check each original source for its methods, release status, limitations, and supporting data. A repository announcement, a preprint, and a published study provide different kinds of evidence. SYMTRI’s subject classification helps discovery; it does not independently validate the source’s claims.
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