Ward: Education

438

Electricity-driven nitrogen insertion enables sustainable heterocycle synthesis

Researchers from the National University of Singapore (NUS) have developed an electrochemical reaction manifold that promotes efficient nitrogen atom insertion into saturated carbocycles to access either functionalized quinolines or N-alkylated saturated N heterocycles, both of which are privileged …

428

CO₂-driven method rapidly creates complex nanomaterials at room temperature

A team of researchers at UNIST, in collaboration with the University of Cologne and Purdue University, has unveiled a rapid, sustainable method to create complex nanomaterials containing up to 30 different metals in just one minute at room temperature.

331

Tracking Wildfire Assets with Commodity RFID and Gaussian Process Modeling

arXiv:2512.15956v1 Announce Type: new
Abstract: This paper presents a novel, cost-effective, and scalable approach to track numerous assets distributed in forested environments using commodity Radio Frequency Identification (RFID) targeting wildfire response applications. Commodity RFID systems suf…

331

Exploring the connection between gene expression and aging

Northwestern Medicine scientists have discovered how molecular "traffic controllers" in cells influence aging and cellular senescence—a state where cells stop dividing but remain metabolically active. The study, published in Molecular Cell, sheds light on the process of transcribing DNA into RNA, a …

321

A Task-Driven, Planner-in-the-Loop Computational Design Framework for Modular Manipulators

arXiv:2512.16069v1 Announce Type: new
Abstract: Modular manipulators composed of pre-manufactured and interchangeable modules offer high adaptability across diverse tasks. However, their deployment requires generating feasible motions while jointly optimizing morphology and mounted pose under kinem…

322

Numerical reconstruction of Schr\"odinger equations with quadratic nonlinearities

arXiv:2512.16269v1 Announce Type: new
Abstract: We introduce a numerical framework for reconstructing the potential in two dimensional semilinear elliptic PDEs with power type nonlinearities from the nonlinear Dirichlet to Neumann map. By applying higher order linearization method, we compute the F…

231

How Data Centers Redefined Energy and Power in 2025

Energy-efficient AI, battery storage systems, and renewed interest in nuclear have reshaped how data centers generate, consume, and manage energy.

218

OpenNER 1.0: Standardized Open-Access Named Entity Recognition Datasets in 50+ Languages

arXiv:2412.09587v3 Announce Type: replace
Abstract: We present OpenNER 1.0, a standardized collection of openly-available named entity recognition (NER) datasets. OpenNER contains 36 NER corpora that span 52 languages, human-annotated in varying named entity ontologies. We correct annotation format…

222

Online Resource Allocation via Static Bundle Pricing

arXiv:2512.16570v1 Announce Type: new
Abstract: Online Resource Allocation addresses the problem of efficiently allocating limited resources to buyers with incomplete knowledge of future requests. In our setting, buyers arrive sequentially demanding a set of items, each with a value drawn from a kn…

230

Non-Opioid “Pain Sponge” Therapy Stops Cartilage Loss and Eases Chronic Pain

A new stem cell–based therapy challenges traditional pain treatment by using pain-sensing neurons to reduce inflammation and protect joints. Newly released preclinical data describes an unconventional strategy for managing chronic pain while helping preserve joint tissue. The findings focus on SN101…

221

Quantum computers turned out to be more useful than expected in 2025

Rapid advances in the kind of problems that quantum computers can tackle suggest that they are closer than ever to becoming useful tools of scientific discovery

211

This Simple Chemistry Fix Could Revolutionize Flow Batteries

A new twist on bromine-based flow batteries could make large-scale energy storage cheaper, safer, and far longer-lasting. Bromine-based flow batteries store and release energy through a chemical reaction involving bromide ions and elemental bromine. This approach offers several advantages, including…

131

Pretrained Battery Transformer (PBT): A battery life prediction foundation model

arXiv:2512.16334v1 Announce Type: new
Abstract: Early prediction of battery cycle life is essential for accelerating battery research, manufacturing, and deployment. Although machine learning methods have shown encouraging results, progress is hindered by data scarcity and heterogeneity arising fro…

110

Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods

arXiv:2502.01384v3 Announce Type: replace-cross
Abstract: Discrete diffusion models have recently gained significant attention due to their ability to process complex discrete structures for language modeling. However, fine-tuning these models with policy gradient methods, as is commonly done in Re…

111

Scientists Solve a Hidden Battery Cracking Mystery That Shortens Lifespan and Raises Fire Risk

A new study shows that promising single-crystal battery materials degrade for reasons scientists hadn’t fully recognized before. Scientists at Argonne National Laboratory and the UChicago Pritzker School of Molecular Engineering (UChicago PME) have identified the source of a long-standing problem in…

111

Hybrid deep-learning model eases brachytherapy planning

The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy
The post Hybrid deep-learning model eases brachytherapy planning appeared first on Physics World.

110

New Immunotherapy Strategy Could Treat Many Types of Cancer

Researchers demonstrated that newly developed molecules designed to block an immune checkpoint can trigger a powerful immune response against tumors. Scientists at MIT and Stanford University have introduced a new method for activating the immune system to recognize and attack cancer cells, offering…

109

Neural networks for dengue forecasting: a systematic review

arXiv:2106.12905v2 Announce Type: replace
Abstract: Background: Early forecasts of dengue are an important tool for disease mitigation. Neural networks are powerful predictive models that have made contributions to many areas of public health. In this study, we reviewed the application of neural ne…

109

Bridging Data and Physics: A Graph Neural Network-Based Hybrid Twin Framework

arXiv:2512.15767v1 Announce Type: new
Abstract: Simulating complex unsteady physical phenomena relies on detailed mathematical models, simulated for instance by using the Finite Element Method (FEM). However, these models often exhibit discrepancies from the reality due to unmodeled effects or simp…

108

Learning-based Approximate Model Predictive Control for an Impact Wrench Tool

arXiv:2512.16624v1 Announce Type: new
Abstract: Learning-based model predictive control has emerged as a powerful approach for handling complex dynamics in mechatronic systems, enabling data-driven performance improvements while respecting safety constraints. However, when computational resources a…