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Materials & Engineering

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Materials & EngineeringEngineering

The AirPods Pro 3 are $50 off right now, nearly matching their best-ever price

Apple has discounted the latest AirPods Pro model by $50, making the wireless earbuds more affordable for those looking to upgrade their audio experience with advanced features.

news
SAATT Nav: a Socially Aware Autonomous Transparent Transportation Navigation Framework for Wheelchairs
Materials & EngineeringRoboticsEngineering

SAATT Nav: a Socially Aware Autonomous Transparent Transportation Navigation Framework for Wheelchairs

Researchers have developed a navigation system for autonomous wheelchairs that is designed to be socially aware, reducing the cognitive burden for users with mobility impairments and improving their ability to move around public spaces.

preprint
Scenario Modeling and Array Design for Non-Terrestrial Networks (NTNs)
Materials & EngineeringSatellites & OrbitsEngineering

Scenario Modeling and Array Design for Non-Terrestrial Networks (NTNs)

Satellites in low Earth orbit may enable new global wireless networks, but require careful modeling and design to handle the complexity of large satellite constellations and ensure reliable connections.

news
Adaptive Loss-tolerant Syndrome Measurements
Materials & EngineeringAlgorithms & TheoryEngineeringIn Focus

Adaptive Loss-tolerant Syndrome Measurements

Researchers developed a new approach to measure errors in quantum systems that can tolerate qubit losses, which is important for building reliable quantum computers.

preprint
Materials & EngineeringEngineeringSoftware & Systems

Professional video editing, right in the browser with WebGPU and WASM

Researchers have developed new web-based video editing tools that let people do professional-quality video editing right in their browsers, without needing to install any software. This could make advanced video editing more accessible to a wider audience.

news
Magnetic-field tuning of the spin dynamics in the quasi-2D van der Waals antiferromagnet CuCrP$_{2}$S$_{6}$
Materials & EngineeringCondensed MatterMaterials Science

Magnetic-field tuning of the spin dynamics in the quasi-2D van der Waals antiferromagnet CuCrP$_{2}$S$_{6}$

Researchers found a new way to precisely control the magnetic properties of an ultra-thin material, which could improve the performance of future spin-based electronic devices.

preprint
Anisotropic Permeability Tensor Prediction from Porous Media Microstructure via Physics-Informed Progressive Transfer Learning with Hybrid CNN-Transformer
Materials & EngineeringMaterials ScienceAlgorithms & Theory

Anisotropic Permeability Tensor Prediction from Porous Media Microstructure via Physics-Informed Progressive Transfer Learning with Hybrid CNN-Transformer

Researchers developed a machine learning model that can quickly predict the flow properties of porous materials like rocks, which is important for understanding underground oil and gas reserves.

preprint
Self-Conditioned Denoising for Atomistic Representation Learning
Materials & EngineeringCondensed MatterMaterials ScienceIn Focus

Self-Conditioned Denoising for Atomistic Representation Learning

Researchers developed a new machine learning technique to better understand materials at the atomic level. This could lead to improved designs for energy storage, electronics and other applications that rely on advanced materials.

preprint
Why Do Humanoid Robots Still Struggle With the Small Stuff?
Materials & EngineeringRoboticsEngineering

Why Do Humanoid Robots Still Struggle With the Small Stuff?

Humanoid robots still struggle with simple everyday tasks, highlighting the need to refine the underlying engineering before widespread real-world deployment becomes feasible.

news
Surrogate-Assisted Genetic Programming with Rank-Based Phenotypic Characterisation for Dynamic Multi-Mode Project Scheduling
Materials & EngineeringAlgorithms & TheoryEngineering

Surrogate-Assisted Genetic Programming with Rank-Based Phenotypic Characterisation for Dynamic Multi-Mode Project Scheduling

Researchers developed a new algorithm to help manage changing project schedules and resource constraints more efficiently. This could improve how organizations plan and adapt large, complex projects.

preprint
IEEE Young Professionals Help Bridge the U.S. Tech Skills Gap
Materials & EngineeringEngineeringData & Infrastructure

IEEE Young Professionals Help Bridge the U.S. Tech Skills Gap

A new report found the U.S. faces a significant shortage of skilled engineers and technical workers, which could limit the country's ability to innovate and advance technology.

news
Activated solids: Spontaneous deformations, non-affine fluctuations, softening, and failure
Materials & EngineeringCondensed MatterPolymers & Soft Matter

Activated solids: Spontaneous deformations, non-affine fluctuations, softening, and failure

Activated solids can spontaneously deform and soften in unexpected ways, which could impact how we design and use materials like plastics and rubbers.

preprint
From TV Repairman to Electromagnetic Compatibility Expert
Materials & EngineeringEngineeringElectrochemistry

From TV Repairman to Electromagnetic Compatibility Expert

A former lowly TV repairman became an expert in the obscure field of electromagnetic compatibility, showcasing how determination and self-education can lead to unexpected career success.

news
Spatially focused magnetic hyperthermia: comparison of MRSh and sLLG equations
Materials & EngineeringMaterials Science

Spatially focused magnetic hyperthermia: comparison of MRSh and sLLG equations

Researchers compared two equations for predicting the heating of cancer cells by magnetic nanoparticles, a potential targeted cancer treatment. This could help improve the accuracy and effectiveness of this promising therapy.

preprint
Materials & EngineeringManufacturing & Scale-upNanotechnology

Invisalign Became the Biggest User of 3D Printers

Invisalign started using 3D printers to mass-produce clear braces, making the technology more accessible and affordable for people wanting to straighten their teeth.

news
Materials & EngineeringEngineeringData & Infrastructure

Passengers who refuse to use headphones can now be kicked off United flights

United Airlines now allows kicking off passengers who refuse to use headphones, providing more control over cabin noise.

news
Two buried Iron Age hoards reveal first evidence for four-wheeled wagons in Britain
Materials & EngineeringEngineering

Two buried Iron Age hoards reveal first evidence for four-wheeled wagons in Britain

Archaeologists discovered the first evidence of four-wheeled wagons used in Britain during the Iron Age, providing insights into early transportation and trade networks.

news
Reaching Quantum Critical Point by Adding Non-magnetic Disorder in Single Crystals of Superconductor $(\text{Ca}_x\text{Sr}_{1-x})_3\text{Rh}_4\text{Sn}_{13}$
Materials & EngineeringCondensed MatterMaterials Science

Reaching Quantum Critical Point by Adding Non-magnetic Disorder in Single Crystals of Superconductor $(\text{Ca}_x\text{Sr}_{1-x})_3\text{Rh}_4\text{Sn}_{13}$

Researchers discovered that adding non-magnetic impurities to a superconductor material could help induce a rare quantum critical point, which has potential applications for quantum computing.

preprint
Materials & EngineeringMaterials ScienceOptics & PhotonicsIn Focus

Long photoexcited carrier lifetime in a stable and earth-abundant zinc polyphosphide

Researchers discovered a new material that can absorb and hold onto light energy for a long time, which could lead to more efficient solar cells and other energy technologies.

preprint
Self-Conditioned Denoising for Atomistic Representation Learning
Materials & EngineeringCondensed MatterMaterials ScienceIn Focus

Self-Conditioned Denoising for Atomistic Representation Learning

Researchers developed a new machine learning technique to better understand materials at the atomic level. This could lead to improved designs for energy storage, electronics and other applications that rely on advanced materials.

preprint
TrajBooster: Boosting Humanoid Whole-Body Manipulation via Trajectory-Centric Learning
Materials & EngineeringRoboticsEngineeringIn Focus

TrajBooster: Boosting Humanoid Whole-Body Manipulation via Trajectory-Centric Learning

Researchers developed a system called TrajBooster that allows robots to quickly learn new manipulation tasks, even with limited training data. This could make humanoid robots more versatile and useful in real-world environments.

preprint
OCP: Orthogonal Constrained Projection for Sparse Scaling in Industrial Commodity Recommendation
Materials & EngineeringAlgorithms & TheoryEngineeringIn Focus

OCP: Orthogonal Constrained Projection for Sparse Scaling in Industrial Commodity Recommendation

A new method called OCP improves how recommendation systems for industrial commodities represent items, making the systems more scalable and able to generalize better.

preprint
Adaptive Loss-tolerant Syndrome Measurements
Materials & EngineeringAlgorithms & TheoryEngineeringIn Focus

Adaptive Loss-tolerant Syndrome Measurements

Researchers developed a new approach to measure errors in quantum systems that can tolerate qubit losses, which is important for building reliable quantum computers.

preprint
Materials & EngineeringCondensed MatterMaterials ScienceIn Focus

A first-principles linear response theory for open quantum systems and its application to Orbach and direct magnetic relaxation in Ln-based coordination polymers

Researchers developed a new theory to explain how magnetic materials like single-molecule magnets can store information by controlling their spin-phonon interactions, which could lead to improvements in quantum computing and data storage.

preprint
ReTac-ACT: A State-Gated Vision-Tactile Fusion Transformer for Precision Assembly
Materials & EngineeringComputer VisionRoboticsIn Focus

ReTac-ACT: A State-Gated Vision-Tactile Fusion Transformer for Precision Assembly

Researchers created a robot assembly system that uses touch sensors to make precise adjustments when visual feedback is blocked, enabling more reliable and accurate assembly of complex products.

preprint
Materials & EngineeringEngineeringNuclear & Fusion

Physics-informed neural network for predicting fatigue life of unirradiated and irradiated austenitic and ferritic/martensitic steels under reactor-relevant conditions

Researchers developed a neural network model that can predict how nuclear reactor materials like steel will withstand wear and tear over time, which helps ensure reactor safety and longevity.

preprint
Graph-of-Constraints Model Predictive Control for Reactive Multi-agent Task and Motion Planning
Materials & EngineeringRoboticsEngineering

Graph-of-Constraints Model Predictive Control for Reactive Multi-agent Task and Motion Planning

Researchers developed a new algorithm that helps robots coordinate tasks and movement more efficiently. This could enable better real-world robotic applications like self-driving cars or factory robots working together.

preprint
Offload or Overload: A Platform Measurement Study of Mobile Robotic Manipulation Workloads
Materials & EngineeringRoboticsEngineering

Offload or Overload: A Platform Measurement Study of Mobile Robotic Manipulation Workloads

Mobile robots can now handle complex manipulation tasks, but doing so requires significant computing power that may overload their systems. This could impact how robots are deployed in real-world settings.

preprint
GrandTour: A Legged Robotics Dataset in the Wild for Multi-Modal Perception and State Estimation
Materials & EngineeringRoboticsComputer Vision

GrandTour: A Legged Robotics Dataset in the Wild for Multi-Modal Perception and State Estimation

Researchers created a dataset of real-world scenes to help develop advanced legged robots that can navigate complex environments and perceive their surroundings, a key step towards deploying autonomous robots in the real world.

preprint
Triple-junction solar cells with improved carrier and photon management
Materials & EngineeringOptics & PhotonicsRenewables

Triple-junction solar cells with improved carrier and photon management

Researchers made solar cells more efficient by improving how they capture and manage light and electrical charges. This could lead to cheaper, more accessible solar power for homes and businesses.

peer reviewed
Magnetic-field tuning of the spin dynamics in the quasi-2D van der Waals antiferromagnet CuCrP$_{2}$S$_{6}$
Materials & EngineeringCondensed MatterMaterials Science

Magnetic-field tuning of the spin dynamics in the quasi-2D van der Waals antiferromagnet CuCrP$_{2}$S$_{6}$

Researchers found a new way to precisely control the magnetic properties of an ultra-thin material, which could improve the performance of future spin-based electronic devices.

preprint
On Additive Gaussian Processes for Wind Farm Power Prediction
Materials & EngineeringAlgorithms & TheoryRenewables

On Additive Gaussian Processes for Wind Farm Power Prediction

Researchers developed a new machine learning model to better predict wind farm power output, which could help make renewable energy more reliable and affordable for people.

preprint
Anisotropic Permeability Tensor Prediction from Porous Media Microstructure via Physics-Informed Progressive Transfer Learning with Hybrid CNN-Transformer
Materials & EngineeringMaterials ScienceAlgorithms & Theory

Anisotropic Permeability Tensor Prediction from Porous Media Microstructure via Physics-Informed Progressive Transfer Learning with Hybrid CNN-Transformer

Researchers developed a machine learning model that can quickly predict the flow properties of porous materials like rocks, which is important for understanding underground oil and gas reserves.

preprint
Disentangling Shear and Compression Phonons: Route to Anomalous Magnetothermal Transport
Materials & EngineeringCondensed MatterMaterials Science

Disentangling Shear and Compression Phonons: Route to Anomalous Magnetothermal Transport

Researchers have identified that the interaction between magnetic fields and materials' atomic vibrations can create unusual heat transport effects, which could lead to new energy-efficient technologies.

preprint
Smoothed Particle Hydrodynamics in pkdgrav3 for Shock Physics Simulations. I. Hydrodynamics
Materials & EngineeringAstronomyParticle & High-Energy Physics

Smoothed Particle Hydrodynamics in pkdgrav3 for Shock Physics Simulations. I. Hydrodynamics

Researchers have developed a new computer simulation tool that can model complex physical events like shockwaves more accurately. This can help scientists better understand phenomena like asteroid impacts or explosions.

preprint