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A new regression method estimates resilience in systems with seasons, gaps, or changing noisePaper finds that after 2013 Japan’s new money mostly sat in reserves, weakening its effect on consumer pricesUltracold atoms simulate extended U(1) quantum spin liquid regions and reveal their coherenceHow the word “neutrinoless” hid a story about creating matter in the labSelf‑configuring silicon chip sorts and controls eight light beams by spatial pattern and polarizationA simple two-layer voter model can break symmetry and show hysteresisWafer-scale growth of low-density, O-band InAs quantum dots on GaAs for single-photon sourcesGPU‑accelerated classical algorithms produce high‑accuracy results for a difficult Fe4S4 electronic structure problemStochastic models and probabilistic trajectory training fix a key failure in coarse-grained chaotic modelsMachine‑learned model lets researchers simulate CrCoNi alloys across compositions with near first‑principles accuracyA new regression method estimates resilience in systems with seasons, gaps, or changing noisePaper finds that after 2013 Japan’s new money mostly sat in reserves, weakening its effect on consumer pricesUltracold atoms simulate extended U(1) quantum spin liquid regions and reveal their coherenceHow the word “neutrinoless” hid a story about creating matter in the labSelf‑configuring silicon chip sorts and controls eight light beams by spatial pattern and polarizationA simple two-layer voter model can break symmetry and show hysteresisWafer-scale growth of low-density, O-band InAs quantum dots on GaAs for single-photon sourcesGPU‑accelerated classical algorithms produce high‑accuracy results for a difficult Fe4S4 electronic structure problemStochastic models and probabilistic trajectory training fix a key failure in coarse-grained chaotic modelsMachine‑learned model lets researchers simulate CrCoNi alloys across compositions with near first‑principles accuracy

Today's Briefing

Friday, May 1, 2026
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PhysicsFeatured briefing

A new regression method estimates resilience in systems with seasons, gaps, or changing noise

This paper introduces a simple way to estimate how resilient a changing system is when the system itself has trends or strong seasonal cycle

April 28, 2026EN2 min read
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Latest Research

Physics
April 28, 2026

Paper finds that after 2013 Japan’s new money mostly sat in reserves, weakening its effect on consumer prices

The paper argues that increases in the monetary base do not always push up consumer prices because newly created money can fall into differe

EN
2 min read
Physics
April 28, 2026

Ultracold atoms simulate extended U(1) quantum spin liquid regions and reveal their coherence

Researchers used a large optical lattice of ultracold atoms to create and probe extended regions that behave like a U(1) quantum spin liquid

EN
2 min read
Physics
April 15, 2026

How the word “neutrinoless” hid a story about creating matter in the lab

This paper traces how a widely used name in particle physics — “neutrinoless” — came to define an important process by what is missing, rath

EN
2 min read
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Physics
April 14, 2026

Self‑configuring silicon chip sorts and controls eight light beams by spatial pattern and polarization

This paper reports an experiment that builds a compact silicon photonic chip that can separate and control multiple light beams at once. The

EN
2 min read
Physics
April 8, 2026

A simple two-layer voter model can break symmetry and show hysteresis

This paper studies a very small change to a classic opinion model and finds rich behavior. The authors build a voter-type model on a two-lay

EN
2 min read
Physics
April 1, 2026

Wafer-scale growth of low-density, O-band InAs quantum dots on GaAs for single-photon sources

Researchers report a way to grow tiny light-emitting islands called quantum dots on standard GaAs wafers so they emit in the telecom O‑band

EN
2 min read
Physics
March 31, 2026

GPU‑accelerated classical algorithms produce high‑accuracy results for a difficult Fe4S4 electronic structure problem

This paper reports that highly optimized classical calculations can reach very high accuracy on a long‑standing hard problem in quantum chem

EN
2 min read
Physics
March 31, 2026

Stochastic models and probabilistic trajectory training fix a key failure in coarse-grained chaotic models

This paper shows that two things are needed to make data-driven reduced models of chaotic systems work well: randomness inside the model, an

EN
2 min read
Physics
March 27, 2026

Machine‑learned model lets researchers simulate CrCoNi alloys across compositions with near first‑principles accuracy

Researchers have built a machine‑learned model that predicts how atoms in CrCoNi alloys interact. This model aims to let scientists run larg

EN
2 min read
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