Nature Search

Watt-level passively Q-switched heavily Er³⁺-doped ZBLAN fiber laser with a semiconductor saturable absorber mirror

Yanlong Shen
Yishan Wang
Jinhai Si
ResearchOpen Access26 May 2016
Scientific Reports

Volume: 6, P: 1-7
Sir George Watt, C.I.E

E. P. STEBBING
Comments & Opinion03 May 1930
Nature

Volume: 125, P: 677-678
Unobstructive and safe-to-wear watt-level wireless charger

Sangjun Kim
Jonathan Wells
Nanshu Lu
ResearchOpen Access08 Nov 2024
npj Flexible Electronics

Volume: 8, P: 1-15
Investigation of return photons from sodium laser beacon excited by a 40-watt facility-class pulsed laser for adaptive optical telescope applications

Qi Bian
Yong Bo
Zuyan Xu
ResearchOpen Access15 Jun 2018
Scientific Reports

Volume: 8, P: 1-10
Natural History of Learned and Scientific Societies

JOHN COHEN
C. E. M. HANSEL
EDITH F. MAY
Research20 Feb 1954
Nature

Volume: 173, P: 328-333
Maximising environmental savings from silicon photovoltaics manufacturing to 2035

This study quantifies the environmental impact associated with photovoltaics manufacturing and demonstrates significant CO₂ emissions savings, depending on solar cell technology and the composition of the electricity mix in the region of manufacture.

Bethany L. Willis
Oliver M. Rigby
Neil S. Beattie
ResearchOpen Access03 Feb 2026
Nature Communications

P: 1-14
High power ultrafast phase-locked laser at 2060 nm from a doubly resonant optical parametric oscillator

Han Rao
Robin Mevert
Uwe Morgner
ResearchOpen Access18 Feb 2026
Scientific Reports

Volume: 16, P: 1-7
Oxidation of Acrylic Fibres for Carbon Fibre Formation

A. J. CLARKE
J. E. BAILEY
Research18 May 1973
Nature

Volume: 243, P: 146-150
Low-power integrated optical amplification through second-harmonic resonance

An integrated optical parametric amplifier on thin-film lithium niobate achieves more than 17 dB gain with less than 200 mW input power.

Devin J. Dean
Taewon Park
Amir H. Safavi-Naeini
Research28 Jan 2026
Nature

Volume: 649, P: 1159-1164
Event-based neuromorphic sensing system with flexible haptic sensors and a memristive system on a chip

A neuromorphic sensing system combining a flexible piezoelectric sensor array, event-triggered circuitry and a memristive chip enables energy-efficient, low-latency edge processing of event-based data through analogue in-memory computing.

Wuyu Zhao
Yi Huang
Qiangfei Xia
Research19 Jan 2026
Nature Sensors

Volume: 1, P: 163-171
Simple interventions can correct misperceptions of home energy use

People make systematic errors when estimating the energy used by household appliances. This study shows that providing numerical information about extremes improves the use of the response scale, while a heuristic addressing a common misperception improves the underlying understanding of relative energy use.

Tyler Marghetis
Shahzeen Z. Attari
David Landy
Research16 Sept 2019
Nature Energy

Volume: 4, P: 874-881
Stabilization of Keratin Structure by Incorporated Water

J. E. ALGIE
I. C. WATT
Research10 Mar 1962
Nature

Volume: 193, P: 972-973
High radiative forcing climate scenario relevance analyzed with a ten-million-member ensemble

The probability of exceeding various climate thresholds has been calculated. While the warmest future scenario has less than a 1 percent chance of being exceeded this century, the paper discusses why such warm scenarios are still relevant.

Marcus C. Sarofim
Christopher J. Smith
Sarah McGrath
ResearchOpen Access18 Sept 2024
Nature Communications

Volume: 15, P: 1-10
Optical Configuration of Amino-acids in Pre-Cambrian Fig Tree Chert

KEITH A. KVENVOLDEN
ETTA PETERSON
GLENN E. POLLOCK
Research11 Jan 1969
Nature

Volume: 221, P: 141-143
cellSTAAR: incorporating single-cell-sequencing-based functional data to boost power in rare variant association testing of noncoding regions

cellSTAAR advances noncoding rare variant association analysis by integrating single-cell genomics data.

Eric Van Buren
Yi Zhang
Xihong Lin
Research31 Dec 2025
Nature Methods

Volume: 23, P: 338-349
Nordenskjöld's Greenland Expedition ¹

A. E. NORDENSKJÖLD
Research08 Nov 1883
Nature

Volume: 29, P: 39-42
Relationship between Photophosphorylation and the Hill Reaction

H. E. DAVENPORT
Research15 Aug 1959
Nature

Volume: 184, P: 524-526
A hardware demonstration of a universal programmable RRAM-based probabilistic computer for molecular docking

Molecular docking is a key tool in computational drug design by searching for numerous poses of ligands bonding to target molecules, which challenges conventional computing. Here, He et al. report a probabilistic computing hardware to accomplish this complex task via a device-architecture co-design.

Yihan He
Ming-Chun Hong
Gengchiau Liang
ResearchOpen Access10 Dec 2025
Nature Communications

Volume: 17, P: 1-14
The hydrogen-to-carbon mole perspective reveals cleanness and inequality of global and national fossil fuel transition

Song, Liu, and colleagues introduced a Hydrogen-to-Carbon Mole Ratio (HCR) index to measure the cleanness of global fossil fuel transition over nearly four decades, and found that high-income economies use cleaner fossil fuels (with higher HCR) than low-income ones, highlighting global energy inequality.

Guobao Song
Xinyue Zhao
Gang Liu
ResearchOpen Access23 Nov 2025
Nature Communications

Volume: 16, P: 1-12
Induction and Deduction

E. E. CONSTANCE JONES
Research28 Jul 1892
Nature

Volume: 46, P: 293-294
Planetary-scale wave guides in the troposphere and stratosphere

W. A. Chapman
T. Miles
Research10 Sept 1981
Nature

Volume: 293, P: 108-112
Climate change will impact the value and optimal adoption of residential rooftop solar

Climate change will affect the adoption of residential rooftop solar photovoltaics by changing the patterns of both electricity generation and demand. This research projects that climate change will increase the future value and optimal capacity of household rooftop solar across the United States.

Mai Shi
Xi Lu
Michael T. Craig
Research19 Apr 2024
Nature Climate Change

Volume: 14, P: 482-489
Limits to the Sub-millimetre Isotropic Background

J. E. BECKMAN
P. A. R. ADE
J. E. HARRIES
Research19 May 1972
Nature

Volume: 237, P: 154-157
Carbon Fibre Formation—the Oxidation Treatment

J. E. BAILEY
A. J. CLARKE
Research31 Dec 1971
Nature

Volume: 234, P: 529-531
Impact of aging and exercise on skeletal muscle mitochondrial capacity, energy metabolism, and physical function

Aging is associated with a progressive loss of muscle function. Here the authors characterize mitochondrial capacity and muscle function in young and older adults with similar habitual physical activity and also compared to older adults with exercise training or with physical impairment.

L. Grevendonk
N. J. Connell
J. Hoeks
ResearchOpen Access06 Aug 2021
Nature Communications

Volume: 12, P: 1-17
Historical and future learning for the new era of multi-terawatt photovoltaics

Solar photovoltaics is entering a multi-terawatt era, driven by decades of cost, performance and reliability gains. In this Perspective Alberi et al. discuss the role of historical and future learning, highlighting the increasing importance of sustainability considerations.

Kirstin Alberi
I. Marius Peters
Andreas W. Bett
Reviews23 Dec 2025
Nature Energy

Volume: 11, P: 38-46
Thermal Conductivity of Dielectric Crystals: The ‘Umklapp’ Process

R. BERMAN
F. E. SIMON
J. WILKS
Research18 Aug 1951
Nature

Volume: 168, P: 277-280
The demonstration of restoring digital optical logic

S. D. Smith
A. C. Walker
B. S. Wherrett
Research01 Jan 1987
Nature

Volume: 325, P: 27-31
Energy-efficient superparamagnetic Ising machine and its application to traveling salesman problems

Ising machines are promising for solving NP-hard problems, but current implementations have power consumption and scalability challenges. Si et al. implement an Ising machine consisting of 80 superparamagnetic tunnel junctions with all-to-all connections and apply it to a large-scale travelling salesman problem.

Jia Si
Shuhan Yang
Hyunsoo Yang
ResearchOpen Access24 Apr 2024
Nature Communications

Volume: 15, P: 1-12
Highly-Sensitive Refractive Index Sensing by Near-infrared Metatronic Nanocircuits

A. R. Rashed
B. Gudulluoglu
H. Caglayan
ResearchOpen Access30 Jul 2018
Scientific Reports

Volume: 8, P: 1-9
Ginkgo-derived carbon quantum dots as a novel tracer for water seepage detection in grottoes

Bo Sun
Wentao Shi
Jumeng Wei
ResearchOpen Access23 Feb 2026
npj Heritage Science

Volume: 14, P: 1-11
Radio studies of the double QSO, 0957 + 561A, B

G. G. Pooley
I. W. A. Browne
D. Walsh
Research01 Aug 1979
Nature

Volume: 280, P: 461-464
Final Months and Descent of Satellite Sputnik 3

B. R. MAY
D. E. SMITH
Research06 Aug 1960
Nature

Volume: 187, P: 456-458
Chemistry of Visual Adaptation in the Rat

JOHN E. DOWLING
Research08 Oct 1960
Nature

Volume: 188, P: 114-118
Real-time object detection for unmanned aerial vehicles based on vision transformer and edge computing

Wenyao Zhu
Ken Chen
ResearchOpen Access31 Jan 2026
Scientific Reports

Volume: 16, P: 1-22
A near-threshold memristive computing-in-memory engine for edge intelligence

Memristive and near-threshold computing hold potential for the next-generation edge AI hardware, but their scalability remains a bottleneck. Wang et al. combine the two paradigms to achieve parallel Mb-level computing, whereby the variation in memristors cancels out the intrinsic transistor mismatch.

Linfang Wang
Weizeng Li
Ming Liu
ResearchOpen Access01 Jul 2025
Nature Communications

Volume: 16, P: 1-10
Soft magnetic microrobots with remote sensing and communication capabilities

Real-time recognition of microrobot state remains challenging due to their small size and imaging limitations. The authors integrate flexible RF antennas into shape-reconfigurable soft microrobots, enabling remote detection of shape transformations.

Quan Gao
Minsoo Kim
Salvador Pané
ResearchOpen Access25 Nov 2025
Nature Communications

Volume: 16, P: 1-12
Constraining the impact of chlorine as a neutron absorber in next-gen fast reactor designs

K. Hanselman
I. J. Allan
M. Wargon
ResearchOpen Access03 Dec 2025
Scientific Reports

Volume: 15, P: 1-14
γ-Emitting Nuclides in Milk Since 1960

R. E. BENTLEY
Research24 Nov 1962
Nature

Volume: 196, P: 738-740
Analog optical computer for AI inference and combinatorial optimization

An analog optical computer that combines analog electronics, three-dimensional optics, and an iterative architecture accelerates artificial intelligence inference and combinatorial optimization in a single platform, paving a promising path for faster and sustainable computing.

Kirill P. Kalinin
Jannes Gladrow
Hitesh Ballani
ResearchOpen Access03 Sept 2025
Nature

Volume: 645, P: 354-361
Rank ordering information on energy use can promote energy-conserving behavior in China

In China, interventions such as numerical data on energy consumption and savings, as well as rank ordering information on energy use, improved residents’ understanding of energy conservation according to a randomized controlled experiment.

Wenbo Li
Xiu Cheng
Chengjiang Li
ResearchOpen Access21 Nov 2025
Communications Earth & Environment

Volume: 6, P: 1-11
Mechanisms of hardware and soft technology evolution and the implications for solar energy cost trends

Hardware and non-hardware features affect the cost of technologies but evolve in different ways over time. Klemun et al. build a model to account for such evolution and analyse the case of photovoltaics.

Magdalena M. Klemun
Goksin Kavlak
Jessika E. Trancik
Research17 Aug 2023
Nature Energy

Volume: 8, P: 827-838
Scaling deep learning for material imaging with a pseudo 3D model for domain transfer

This study introduces P3T-Net, a pseudo-3D deep learning model that enables accurate and efficient cross-domain transfer of large 3D material images, improving image quality and ensuring image consistency across diverse imaging conditions.

Kunning Tang
Ryan T. Armstrong
Ying Da Wang
ResearchOpen Access12 Dec 2025
Nature Communications

Volume: 16, P: 1-19
Accelerating the energy transition towards photovoltaic and wind in China

To meet China’s goal of carbon neutrality by 2060, substantial investment in upgrading power systems needs to be made to optimize the deployment of new photovoltaic and wind power plants.

Yijing Wang
Rong Wang
Renhe Zhang
ResearchOpen Access26 Jul 2023
Nature

Volume: 619, P: 761-767
Low-power scalable multilayer optoelectronic neural networks enabled with incoherent light

Read-in and read-out of data limit the overall performance of optical computing methods. This work introduces a multilayer optoelectronic framework that alternates between optical and optoelectronic layers to implement matrix-vector multiplications and rectified linear functions experimentally

Alexander Song
Sai Nikhilesh Murty Kottapalli
Peer Fischer
ResearchOpen Access18 Dec 2024
Nature Communications

Volume: 15, P: 1-12
Is the Special Theory of Relativity Wrong ?: The Underlying Physics of the Lorentz Transformation

W. STEWART BROWN
Research01 Aug 1968
Nature

Volume: 219, P: 791-793
Logic gates based on neuristors made from two-dimensional materials

By using two-dimensional materials with different polarities, single neuristors can act as XNOR, NOR, OR and AND logic gates.

Huawei Chen
Xiaoyong Xue
Peng Zhou
Research07 Jun 2021
Nature Electronics

Volume: 4, P: 399-404
Re-assessment of net energy production and greenhouse gas emissions avoidance after 40 years of photovoltaics development

While the photovoltaic industry aims to achieve cleaner energy production, it consumes energy and emits greenhouse gases during production and deployment. Here, Louwenet al. show that the industry has likely already reached break-even points for both greenhouse gases emissions and electricity consumption.

Atse Louwen
Wilfried G. J. H. M. van Sark
Ruud E. I. Schropp
ResearchOpen Access06 Dec 2016
Nature Communications

Volume: 7, P: 1-9
Co-transmission of radio frequency reference and data signal over multi-core fiber

Lei Liu
Feng Liu
William Shieh
ResearchOpen Access15 Jan 2026
Scientific Reports

Volume: 16, P: 1-8
Synthetic-domain computing and neural networks using lithium niobate integrated nonlinear phononics

By encoding vectors and matrices at different frequencies within a single device, a device-aware neural network based on lithium niobate integrated nonlinear phononics can be created that can perform a four-class classification task with an accuracy of 98.2%.

Jun Ji
Zichen Xi
Linbo Shao
Research25 Aug 2025
Nature Electronics

Volume: 8, P: 698-708

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