Results 91 to 100 of about 69,716 (313)

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

Laser‐Induced Graphene from Waste Almond Shells

Advanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova, Anna Chiara Bressi, Marina Galliani, Attilio Marino, Gianni Ciofani, Eduardo Machado‐Charry, Hilda Gomez Bernal, Alessandra Francini, Luca Sebastiani, Francesco Greco   +9 more
wiley   +1 more source

Ice-flow velocity, Jakobshavn Glacier, Greenland

, 2018
Ice-flow velocity fields produced from optical feature tracking of Landsat data, using ImGRAFT toolbox. Data are provided in point NetCDF format along with a corresponding JPEG, a data timeline and example data structure are also provided. See attached
Grinsted, Aslak, Karlsson, Nanna Bjørnholt, Alexandra Messerli (7883156), Aslak Grinsted (7698518), Nanna B Karlsson (7883159), Messerli, Alexandra   +5 more
core   +1 more source

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source

Ice-flow velocity, Petermann Glacier, Greenland

, 2018
Ice-flow velocity fields produced from optical feature tracking of Landsat data, using ImGRAFT toolbox. Data are provided in point NetCDF format along with a corresponding JPEG, a data timeline and example data structure are also provided. See attached
Grinsted, Aslak, Karlsson, Nanna Bjørnholt, Alexandra Messerli (7883156), Aslak Grinsted (7698518), Nanna B Karlsson (7883159), Messerli, Alexandra   +5 more
core   +1 more source

Blood Biomarkers and Surface‐Enhanced Raman Spectroscopy for Gout: A Comprehensive Review

Advanced Functional Materials, EarlyView.
Schematic illustrating gout disease progression from asymptomatic hyperuricemia to chronic tophaceous disease, highlighting the limitations of conventional imaging and biochemical diagnostics and the potential of engineered SERS platforms for ultrasensitive blood‐based detection of urate‐related biomarkers across disease stages, with the color gradient
Isuri Perera, Chiranjeevi Kanike, Appurva Tiwari, Hongyan Wu, Larry D. Unsworth, Ben Bin Xu, Xuehua Zhang   +6 more
wiley   +1 more source

Ice-flow velocity, Kangerdlugssuaq Glacier, Greenland

, 2018
Ice-flow velocity fields produced from optical feature tracking of Landsat data, using ImGRAFT toolbox. Data are provided in point NetCDF format along with a corresponding JPEG, a data timeline and example data structure are also provided. See attached
Grinsted, Aslak, Karlsson, Nanna Bjørnholt, Alexandra Messerli (7883156), Aslak Grinsted (7698518), Nanna B Karlsson (7883159), Messerli, Alexandra   +5 more
core   +1 more source

Pickering‐Engineered Microparticles for Magnetically Guided Motion and Light‐Triggered Catalysis

Advanced Functional Materials, EarlyView.
Magnetically responsive wax microparticles stabilized by hematite cubes through the Pickering emulsification strategy are developed, showing controlled size, motion, and light‐activated catalytic activity. Annealing under a magnetic field enhances their mobility and steering.
Chiara Ferlito, Ludovico Guercio, Giuseppe Cavallaro, Giuseppe Lazzara, Theodore Hueckel, Lorenzo Lisuzzo, Stefano Sacanna   +6 more
wiley   +1 more source

Surface ice velocity, radar backscatter and frontal changes - links to datafiles

, 2018
Seasonal glacier ice velocities are important for precisely estimating annual ice discharge and understanding controlling mechanisms, but these measurements for a large number of Greenlandic glaciers are limited by low temporal resolution.
Khan, Shfaqat Abbas, Saurabh Vijay (7884500), Anders Kusk (5296189), Anders Anker Bjørk (6966770), Moon, Twila, Bjørk, Anders Anker, Kusk, Anders, Shfaqat Abbas Khan (7884503), Anne M Solgaard (7884506), Solgaard, Anne M, Twila Moon (3227652), Vijay, Saurabh   +11 more
core   +1 more source