Results 31 to 40 of about 377,154 (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

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Optimizing quantum gates towards the scale of logical qubits

Nature Communications
A foundational assumption of quantum error correction theory is that quantum gates can be scaled to large processors without exceeding the error-threshold for fault tolerance.
Paul V. Klimov, Andreas Bengtsson, Chris Quintana, Alexandre Bourassa, Sabrina Hong, Andrew Dunsworth, Kevin J. Satzinger, William P. Livingston, Volodymyr Sivak, Murphy Yuezhen Niu, Trond I. Andersen, Yaxing Zhang, Desmond Chik, Zijun Chen, Charles Neill, Catherine Erickson, Alejandro Grajales Dau, Anthony Megrant, Pedram Roushan, Alexander N. Korotkov, Julian Kelly, Vadim Smelyanskiy, Yu Chen, Hartmut Neven   +23 more
doaj   +1 more source

Caravan - A global community dataset for large-sample hydrology

Scientific Data, 2023
High-quality datasets are essential to support hydrological science and modeling. Several CAMELS (Catchment Attributes and Meteorology for Large-sample Studies) datasets exist for specific countries or regions, however these datasets lack standardization,
Frederik Kratzert, Grey Nearing, Nans Addor, Tyler Erickson, Martin Gauch, Oren Gilon, Lukas Gudmundsson, Avinatan Hassidim, Daniel Klotz, Sella Nevo, Guy Shalev, Yossi Matias   +11 more
doaj   +1 more source

Advanced Techniques for Scalable Woven E‐Textiles Manufacturing

Advanced Materials Technologies, EarlyView.
This review highlights recent advances in scalable weaving techniques for e‐textiles, emphasizing innovations in multilayer structures, conductive yarn integration, and loom modifications. It summarizes emerging materials, fabrication strategies, and performance considerations that enable reliable, durable, and industrially scalable woven electronic ...
Faisal Abedin, Seonyoung Youn, Amanda C. Mills   +2 more
wiley   +1 more source

Detecting shortcut learning for fair medical AI using shortcut testing

Nature Communications, 2023
Machine learning (ML) holds great promise for improving healthcare, but it is critical to ensure that its use will not propagate or amplify health disparities.
Alexander Brown, Nenad Tomasev, Jan Freyberg, Yuan Liu, Alan Karthikesalingam, Jessica Schrouff   +5 more
doaj   +1 more source

Time-Aware Language Models as Temporal Knowledge Bases

Transactions of the Association for Computational Linguistics, 2022
Many facts come with an expiration date, from the name of the President to the basketball team Lebron James plays for. However, most language models (LMs) are trained on snapshots of data collected at a specific moment in time.
Bhuwan Dhingra, Jeremy R. Cole, Julian Martin Eisenschlos, Daniel Gillick, Jacob Eisenstein, William W. Cohen   +5 more
doaj   +1 more source

Photothermomechanically Efficient, Low‐Cost, High‐Cycle‐Life, Hybrid MXene‐Polymer Actuators

Advanced Materials Technologies, EarlyView.
The addition of MXenes to elastomer‐plastic‐paper films enables the creation of easily prepared actuators that are scalable for small robotic applications. Known as MXene‐polymer Trilayer Actuators (MPTAs), they bend from UV light. Their usefulness is demonstrated through kirigami‐inspired flower‐shaped art design, parallel manipulator for waveguiding,
Ken Iiyoshi, Georgios Korres, Orsolya Nagy, Gabriel Roldán, Panče Naumov, Stefan Schramm, Mohamad Eid   +6 more
wiley   +1 more source

Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation

Transactions of the Association for Computational Linguistics, 2021
Human evaluation of modern high-quality machine translation systems is a difficult problem, and there is increasing evidence that inadequate evaluation procedures can lead to erroneous conclusions.
Markus Freitag, George Foster, David Grangier, Viresh Ratnakar, Qijun Tan, Wolfgang Macherey   +5 more
doaj   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source