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Received yesterday β€” 31 January 2026

Agrivoltaics can help lettuce survive extreme heat

30 January 2026 at 14:01

Scientists have grown organic romaine lettuce under 13 different types of PV modules, in an unusual hot Canadian summer. Their analysis showed lettuce yields increased by over 400% compared to unshaded control plants.

A research group from Canada’s Western University has investigated the performance of organic romaine lettuce, a heat-sensitive crop, under a broad range of agrivoltaic conditions. The test was conducted in London, Ontario, in the summer of 2025, during which 18 days had temperatures over 30 C.

β€œOur study explores how agrivoltaic systems can be tailored to optimize crop growth, especially under extreme heat conditions, while contributing to sustainable energy generation,” corresponding researcher Uzair Jamil told pv magazine.

β€œThis becomes especially relevant in the context of climate change, where we are experiencing temperature extremes across the world,” Jamil added. β€œWe examined the performance of organic romaine lettuce under thirteen different agrivoltaic configurations – ranging from crystalline silicon PV to thin-film-colored modules (red, blue, green) – in outdoor, high-temperature stress conditions.”

More specifically, the experiment included c-Si modules with 8%, 44% and 69% transparency rate; blue c-Si modules with transparency of 60%, 70%, and 80%; green c-Si modules with transparency of 60%, 70%, and 80%; and red c-Si modules with transparency of of 40%, 50%, 70%, and 80%.

All agrivoltaics installations had a leading-edge height of 2.0 m and a trailing-edge height of 2.8 m, and the modules were oriented southwards at 34β—¦. Pots with organic romaine lettuce were placed under all configurations, along with three pots fully exposed to ambient sunlight without shading, used as controls.

In addition to measurements against the control, the scientific group has compared the results to the national average per-pot yield for 2022, which included less high-temperature days and was therefore considered typical. Those data points were taken from agricultural census data, which later enabled the researcher also to create nationwide projections of their results.

β€œLettuce yields increased by over 400% compared to unshaded control plants, and 200% relative to national average yields,” Jamil said about the results. β€œ60% transparent blue Cd-Te and 44% transparent crystalline silicon PV modules delivered the highest productivity gains, demonstrating the importance of both shading intensity and spectral quality in boosting plant growth.”

Jamil further added that if agrivoltaic were to scale up to protect Canada’s entire lettuce crop, they could add 392,000 tonnes of lettuce.

β€œThat translates into CAD $62.9 billion (USD $46.6 billion) in revenue over 25 years,” he said. β€œIf scaled across Canada, agrivoltaics could also reduce 6.4 million tonnes of CO2 emissions over 25 years, making it a key player in reducing the agricultural sector’s environmental footprint.”

The results of the research work were presented in β€œEnhancing heat stress tolerance in organic romaine lettuce using crystalline silicon and red, blue & green-colored thin film agrivoltaic systems,” published in Solar Energy.

Study finds much lower-than-expected degradation in 1980s and 1990s solar modules

30 January 2026 at 12:21

Researchers at SUPSI found that six Swiss PV systems installed in the late 1980s and early 1990s show exceptionally low degradation rates of just 0.16% to 0.24% per year after more than 30 years of operation. The study shows that thermal stress, ventilation, and material design play a greater role in long-term module reliability than altitude or irradiance alone.

A research group led by Switzerland's University of Applied Sciences (SUPSI)Β has carried out a long-term analysis of six south-facing, grid-connected PV systems installed in Switzerland in the late 1980s and early 1990s. The researchers found that the systems’ annual power loss rates averaged 0.16% to 0.24%, significantly lower than the 0.75% to 1% per year commonly reported in the literature.

The study examined four low-altitude rooftop systems located in MΓΆhlin (310m-VR-AM55), Tiergarten East and West in Burgdorf (533m-VR-SM55(HO)), and Burgdorf Fink (552m-BA-SM55). These installations use ventilated or building-applied rooftop configurations. The analysis also included a mid-altitude utility-scale plant in Mont-Soleil (1270m-OR-SM55) and two high-altitude, facade-mounted systems in Birg (2677m-VF-AM55) and Jungfraujoch (3462m-VF-SM75).

All systems are equipped with either ARCO AM55 modules manufactured by US-based Arco Solar, which was the world’s largest PV manufacturer with just 1 MW capacity at the time, or Siemens SM55, SM55-HO, and SM75 modules. Siemens became Arco Solar’s largest shareholder in 1990. The modules have rated power outputs between 48 W and 55 W and consist of a glass front sheet, ethylene-vinyl acetate (EVA) encapsulant layers, monocrystalline silicon cells, and a polymer backsheet laminate.

The test setup included on-site monitoring of AC and DC power output, ambient and module temperatures, and plane-of-array irradiance measured using pyranometers. Based on site conditions, the researchers classified the installations into low-, mid-, and high-altitude climate zones.

β€œFor benchmarking purposes, two Siemens SM55 modules have been stored in a controlled indoor environment at the Photovoltaic Laboratory of the Bern University of Applied Sciences since the start of the monitoring campaign,” the researchers said. They also applied the multi-annual year-on-year (multi-YoY) method to determine system-level performance loss rates (PLR).

The results show that PLRs across all systems range from -0.12% to -0.55% per year, with an average of -0.24% to -0.16% per year, well below typical degradation rates reported for both older and modern PV systems. The researchers also found that higher-altitude systems generally exhibit higher average performance ratios and lower degradation rates than comparable low-altitude installations, despite exposure to higher irradiance and ultraviolet radiation.

The study further revealed that modules of the same nominal type but with different internal designs show markedly different degradation behaviour. Standard SM55 modules exhibited recurring solder bond failures, leading to increased series resistance and reduced fill factor. By contrast, SM55-HO modules benefited from a modified backsheet design that provides higher internal reflectance and improved long-term stability.

Overall, the findings indicate that long-term degradation in early-generation PV modules is driven primarily by thermal stress, ventilation conditions, and material design, rather than altitude or irradiance alone. Modules installed in cooler, better-ventilated environments demonstrated particularly stable performance over multiple decades.

The test results were presented in the paper β€œThree decades, three climates: environmental and material impacts on the long-term reliability of photovoltaic modules,” published in EES Solar.

β€œThe study identified the bill-of-material (BOM) as the most critical factor influencing PV module longevity,” they concluded. β€œDespite all modules belonging to the same product family, variations in encapsulant quality, filler materials, and manufacturing processes resulted in significant differences in degradation rates. Early-generation encapsulants without UV stabilisation showed accelerated ageing, while later module designs with optimised backsheets and improved production quality demonstrated outstanding long-term stability.”

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Power Roll testing new metrology for perovskite solar

30 January 2026 at 06:58

The UK-based perovskite solar PV specialist has announced a new metrology research project with Swansea University and a new development agreement with Renolit, a German plastic films, sheets and polymer solutions company.

Power Roll, a UK-based perovskite solar PV specialist, has announced a new metrology research project with Swansea University and a joint development agreement with Renolit, a German plastic films, sheets and polymer solutions company, which will begin with an outdoor field trial in Germany.

In the U.K., samples of Power Roll's patented flexible, micro-groove perovskite solar PV film will be provided to researchers at Swansea University and the National Physical Laboratory in a six-month feasibility project to support the development of inline and end-of-line testing tools for perovskite solar cells.

It also involves the development of stability guidelines for industry standards.Β Without these advancements, perovskite solar cell companies β€œcould face significant hurdles in achieving product accreditation,” noted the company.

β€œThe project will support scalable roll-to-roll manufacturing of lightweight perovskite PV, delivering commercial prototypes, testing protocols, and an invited academic review to strengthen UK capability in advanced semiconductor photovoltaics,” Nathan Hill, Power Roll Senior Scientist, told pv magazine.

It entails assessment of standards, metrology techniques, equipment, routes to characterize large scale devices and artificial intelligence (AI) pertaining to monitoring during manufacture.

In December, Renolit and Power Roll announced an 18-month joint development agreement that will begin with an outdoor trial of the UK company’s micro-groove perovskite prototypes on a Renolit building faΓ§ade in Germany.

The initial deployment will be one to two square meters. There are plans to scale it up in size and power capacity as the project progresses, according to Hill.

β€œThe purpose is to monitor and validate real-worldΒ performance and durability,Β and to understand the potential of the micro-groove solar technology,” Neil Spann, Power Roll CEO, told pv magazine.

Renolit has a commercial interest as a potential supplier of certain film layers to Power Roll, but also to explore integrating Power Roll's solar film into its existing building materials product lines, and to explore the potential of manufacturing under license in Europe, according to Spann.

Power Roll has also completed tests of smaller devices at its headquarters.

Renolit France, the French branch of the German company, recently launched a new PVC-based mounting product for rooftop PV systems.

Power Roll, founded in 2012, has proven its technology and manufacturing process, and secured 27 patent families.

Guterres Says It’s Time To Switch To Clean Energy Goals

29 January 2026 at 12:30

United Nations secretary-general AntΓ³nio Guterres’ message was powerful on January 26, the International Day of Clean Energy. Rather than succumbing to the global powers’ failure to meet goals to cap warming at 1.5 degrees Celsius, he insists β€œwe must pick up the pace” to a β€œjust, orderly and equitable transition ... [continued]

The post Guterres Says It’s Time To Switch To Clean Energy Goals appeared first on CleanTechnica.

Adoption of Electric Vehicles Tied to Real-World Reductions in Air Pollution, Study Finds

26 January 2026 at 19:28

Using satellite data, Keck School of Medicine of USC researchers reported the first statistically significant decrease in nitrogen dioxide linked to zero-emissions vehicles. When California neighborhoods increased their number of zero-emissions vehicles (ZEV) between 2019 and 2023, they also experienced a reduction in air pollution. For every 200 vehicles added, ... [continued]

The post Adoption of Electric Vehicles Tied to Real-World Reductions in Air Pollution, Study Finds appeared first on CleanTechnica.

Argonne Partners with RIKEN, Fujitsu and NVIDIA on AI for Science and HPC

Argonne National Laboratory has entered into a partnership with RIKEN, Fujitsu Limited andΒ NVIDIA to advance artificial intelligence and high performance computing to accelerate scientific discovery. The agreement, based on a memorandum of understanding signed January 27, will aligns with DOE’s Genesis Mission, a national initiative to use AI ....

The post Argonne Partners with RIKEN, Fujitsu and NVIDIA on AI for Science and HPC appeared first on Inside HPC & AI News | High-Performance Computing & Artificial Intelligence.

Advancing GPU Programming with the CUDA Tile IR Backend for OpenAI Triton

30 January 2026 at 20:01
NVIDIA CUDA Tile is a GPU-based programming model that targets portability for NVIDIA Tensor Cores, unlocking peak GPU performance. One of the great things...

NVIDIA CUDA Tile is a GPU-based programming model that targets portability for NVIDIA Tensor Cores, unlocking peak GPU performance. One of the great things about CUDA Tile is that you can build your own DSL on top of it. This post shares the work NVIDIA is doing to integrate CUDA Tile as a backend for OpenAI Triton, an open source Python DSL designed to write DL kernels for GPUs.

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How to Unlock Local Detail in Coarse Climate Projections with NVIDIA Earth-2

26 January 2026 at 14:00
A global image showing weather patterns.Global climate models are good at the big pictureβ€”but local climate extremes, like hurricanes and typhoons, often disappear in the details. Those patterns are...A global image showing weather patterns.

Global climate models are good at the big pictureβ€”but local climate extremes, like hurricanes and typhoons, often disappear in the details. Those patterns are still thereβ€”you just need the right tools to unlock them in high-resolution climate data. Using NVIDIA Earth‑2, this blog post shows you how to downscale coarse climate projections into higher-resolution, bias‑corrected fieldsβ€”revealing…

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Received before yesterday

LLNL’s Peter Lindstrom Honored with IEEE VIS Test of Time Award

Jan. 20, 2025 β€” Lawrence Livermore National Laboratory computer scientist Peter Lindstrom received the 2025 IEEE VIS Test of Time Award for his 2014 paper on near-lossless data compression, recognizing its lasting influence on the field of scientific visualization and high-performance computing. (Graphic: Dan Herchek) Lawrence Livermore National Laboratory (LLNL) computer scientist Peter Lindstrom recently […]

The post LLNL’s Peter Lindstrom Honored with IEEE VIS Test of Time Award appeared first on Inside HPC & AI News | High-Performance Computing & Artificial Intelligence.

ALCF Issues AI for Science Program Call for Proposals, Feb. 27 Deadline

Jan. 20, 2026 β€” The Argonne Leadership Computing Facility (ALCF) invites proposals for a new collaboration and development program, called APEX, designed to fast-track novel applications of AI in science. This program seeks proposals that apply AI methods in new, creative, or unconventional ways within their domain, such as introducing new AI methods or bringing […]

The post ALCF Issues AI for Science Program Call for Proposals, Feb. 27 Deadline appeared first on Inside HPC & AI News | High-Performance Computing & Artificial Intelligence.

How to Write High-Performance Matrix Multiply in NVIDIA CUDA Tile

14 January 2026 at 20:41
This blog post is part of a series designed to help developers learn NVIDIA CUDA Tile programming for building high-performance GPU kernels, using matrix...

This blog post is part of a series designed to help developers learn NVIDIA CUDA Tile programming for building high-performance GPU kernels, using matrix multiplication as a core example. In this post, you’ll learn: Before you begin, be sure your environment meets the following requirements (see the quickstart for more information): Environment requirements: Install…

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Learn How NVIDIA cuOpt Accelerates Mixed Integer Optimization using Primal Heuristics

13 January 2026 at 20:32
Decorative image.NVIDIA cuOpt is a GPU-accelerated optimization engine designed to deliver fast, high-quality solutions for large, complex decision-making problems. Mixed...Decorative image.

NVIDIA cuOpt is a GPU-accelerated optimization engine designed to deliver fast, high-quality solutions for large, complex decision-making problems. Mixed integer programming (MIP) is a technique for solving problems. It can be modeled by a set of linear constraints, with some of the variables able to assume only integer values. The types of problems that can be modeled as MIP are numerous and…

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Multi-Agent Warehouse AI Command Layer Enables Operational Excellence and Supply Chain Intelligence

9 January 2026 at 14:00
Warehouses have never been more automated, more data-rich, or more operationally demanding than they are nowβ€”yet they still rely on systems that can’t keep...

Warehouses have never been more automated, more data-rich, or more operationally demanding than they are nowβ€”yet they still rely on systems that can’t keep up. Throughput is rising, SLAs are shrinking, and fleets of AMRs, conveyors, and sensors expand every year. But beneath that technological surface, most sites still rely on a familiar trio: a Warehouse Management System (WMS)…

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New Software and Model Optimizations Supercharge NVIDIA DGX Spark

5 January 2026 at 22:50
Since its release, NVIDIA has continued to push performance of the Grace Blackwell-powered DGX Spark through continuous software optimization and close...

Since its release, NVIDIA has continued to push performance of the Grace Blackwell-powered DGX Spark through continuous software optimization and close collaboration with software partners and the open-source community. These efforts are delivering meaningful gains across inference, training and creative workflows. At CES 2026, the latest DGX Spark software release, combined with new model…

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AI Factories, Physical AI, and Advances in Models, Agents, and Infrastructure That Shaped 2025

31 December 2025 at 17:30
Four-image grid illustrating AI agents, robotics, data center infrastructure, and simulated environments.2025 was another milestone year for developers and researchers working with NVIDIA technologies. Progress in data center power and compute design, AI...Four-image grid illustrating AI agents, robotics, data center infrastructure, and simulated environments.

2025 was another milestone year for developers and researchers working with NVIDIA technologies. Progress in data center power and compute design, AI infrastructure, model optimization, open models, AI agents, and physical AI redefined how intelligent systems are trained, deployed, and moved into the real world. These posts highlight the innovations that resonated most with our readers.

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Accelerating AI-Powered Chemistry and Materials Science Simulations with NVIDIA ALCHEMI Toolkit-Ops

19 December 2025 at 17:00
Machine learning interatomic potentials (MLIPs) are transforming the landscape of computational chemistry and materials science. MLIPs enable atomistic...

Machine learning interatomic potentials (MLIPs) are transforming the landscape of computational chemistry and materials science. MLIPs enable atomistic simulations that combine the fidelity of computationally expensive quantum chemistry with the scaling power of AI. Yet, developers working at this intersection face a persistent challenge: a lack of robust, Pythonic toolbox for GPU…

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Migrate Apache Spark Workloads to GPUs at Scale on Amazon EMR with Project Aether

17 December 2025 at 19:00
Decorative image.Data is the fuel of modern business, but relying on older CPU-based Apache Spark pipelines introduces a heavy toll. They’re inherently slow, require large...Decorative image.

Data is the fuel of modern business, but relying on older CPU-based Apache Spark pipelines introduces a heavy toll. They’re inherently slow, require large infrastructure, and lead to massive cloud expenditure. As a result, GPU-accelerated Spark is becoming a leading solution, providing lightning-fast performance using parallel processing. This improved efficiency reduces cloud bills and saves…

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Solving Large-Scale Linear Sparse Problems with NVIDIA cuDSS

17 December 2025 at 18:30
Solving large-scale problems in Electronic Design Automation (EDA), Computational Fluid Dynamics (CFD), and advanced optimization workflows has become the norm...

Solving large-scale problems in Electronic Design Automation (EDA), Computational Fluid Dynamics (CFD), and advanced optimization workflows has become the norm as chip designs, manufacturing, and multi-physics simulations have grown in complexity. These workloads push traditional solvers and require unprecedented scalability and performance. The NVIDIA CUDA Direct Sparse Solver (cuDSS) is built…

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