Results 241 to 250 of about 26,557 (311)

Spatial multi-omics integration by cross-modal graph contrastive learning. [PDF]

Brief Bioinform
Gui Y, Xu Y, Li C.
europepmc   +1 more source

Integrated Field‐Free SOT Domain‐Wall Synapses and MTJ Stochastic Neurons for Hardware Boltzmann Machines

Advanced Functional Materials, EarlyView.
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone, Meng Tang, Camelia Florica, Bin He, Jingkai Xu, Selma Amara, Georgian Melinte, Xixiang Zhang, Gianluca Setti   +8 more
wiley   +1 more source

NeuroConText: Contrastive learning for neuroscience meta-analysis with rich text representation. [PDF]

Imaging Neurosci (Camb)
Ghayem F, Meudec R, Dockès J, Thirion B, Wassermann D.   +4 more
europepmc   +1 more source

Near‐Infrared Light‐Driven Zn/Au Janus Micromotors for Multiplex SERS Detection of Anticancer Drugs

Advanced Functional Materials, EarlyView.
Zn/Au Janus micromotors, propelled by thermophoretic effects under NIR light, function as active SERS platforms for single and multiplex detection of anticancer drugs. Their dynamic motion enhances analyte exchange at the Au interface, reducing saturation and competitive adsorption, thereby improving sensitivity and extending the linear detection range.
Tijana Maric, Gohar Soufi, Ziqiao Li, Erick Chica, Amran Abdirasheed Ali Jinow, Nada Al‐Roubaï, Noor Ahmed, Yaman Göksel, Anja Boisen   +8 more
wiley   +1 more source

Toward Fast Proton Shuttling in Acidic Oxygen Evolution Reaction

Advanced Functional Materials, EarlyView.
This review establishes proton transfer dynamics as a descriptor governing acidic OER activity, moving beyond the kinetic constraints derived from the proton coupled electron transfer. We discuss how deprotonation governs classical mechanisms, including adsorbate evolution mechanism (AEM), lattice oxygen mechanism (LOM) and oxide path mechanism (OPM ...
Ashish Gaur, Jaeyeong Kim, Sungwook Mhin, HyukSu Han   +3 more
wiley   +1 more source

CLEAR-IT, a framework for contrastive learning to capture the immune composition of tumor microenvironments. [PDF]

Commun Biol
Spengler D, Korovin S, Prakash K, Bankhead P, Debets R, Balcioglu HE, Smith C.   +6 more
europepmc   +1 more source

Advances in Sustainable and Wearable Textile Based Soft Robotics

Advanced Functional Materials, EarlyView.
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas, Marzia Dulal, Sophia K. Novoselov, Victoria K. Novoselov, Kostya S. Novoselov, Shaila Afroj, Nazmul Karim   +6 more
wiley   +1 more source

MS-ConTab: multi-scale contrastive learning of mutation signatures for Pan-Cancer representation and stratification. [PDF]

Bioinformatics
Dou Y, Khadre A, Petreaca RC, Golrokh M.
europepmc   +1 more source

Thermally Pre‐Formed Reconfigurable Resistive Random‐Access Memory Crossbar Arrays: A Dual‐Mode Platform for Robust Physically Unclonable Functions and In‐Memory Computing

Advanced Functional Materials, EarlyView.
A reconfigurable RRAM platform utilizing thermally pre‐formed filaments (TPFs) is developed to realize robust hardware security. By exploiting the thermodynamic stochasticity of TPFs, exceptionally reliable physically unclonable functions (PUFs) are achieved.
Seongbin Kwon, Taewon Lee, Dohyeong Kim, Sungmin Hwang, Sungjoon Kim   +4 more
wiley   +1 more source