Results 191 to 200 of about 2,163,565 (354)

Representations of the generalized inverse

open access: yesJournal of Mathematical Analysis and Applications, 1975
openaire   +2 more sources

A Full‐Range Proximity‐Tactile Sensor Based on Multimodal Perception Fusion for Minimally Invasive Surgical Robots

open access: yesAdvanced Science, EarlyView.
A full‐range proximity‐tactile sensing module is developed for safe operation of surgical robots, which performs multimodal fusion perception through ultrasonic sensor for long‐range proximity detection, capacitive sensor for close‐range proximity sensing, and triboelectric sensor for tactile sensing.
Dongsheng Li   +8 more
wiley   +1 more source

A generalized inversive algorithm [PDF]

open access: yesBulletin of the American Mathematical Society, 1936
openaire   +3 more sources

Imprinting Electrically Switchable Scalar Spin Chirality by Anisotropic Strain in a Kagome Antiferromagnet

open access: yesAdvanced Science, EarlyView.
It is shown that anisotropic strain offers a novel approach to control the magnetic ground state in heterostructures of a Kagome antiferromagnet, unlocking new functionalities. This strain induces finite scalar spin chirality, resulting in a pronounced Berry curvature in momentum space, leading to room‐temperature anomalous Hall effect.
Debjoty Paul   +11 more
wiley   +1 more source

Oxygen Vacancy Defect Engineering for Transverse Thermoelectric Enhancement: a Novel Extrinsic Pathway beyond Intrinsic Approaches

open access: yesAdvanced Science, EarlyView.
Transverse thermoelectric (TE) technology gains increasing attention as it enables efficient power generation within a single TE element and eliminates junctions. This study enhances transverse thermopower in polycrystalline Sr3YCo4O10‐δ through oxygen vacancy defect engineering, utilizing the anomalous Nernst effect to improve TE efficiency.
Min Young Kim   +7 more
wiley   +1 more source

Machine Learning‐Enhanced Nanoparticle Design for Precision Cancer Drug Delivery

open access: yesAdvanced Science, EarlyView.
Machine Learning (ML) is revolutionizing cancer nanomedicine by optimizing nanoparticle (NP) design and drug delivery. This review summarizes ML applications across all stages of NP drug delivery, along with a discussion of ongoing challenges and future directions.
Qingquan Wang   +5 more
wiley   +1 more source

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