Results 81 to 90 of about 403 (212)

Predicting Single‐Cell Perturbation Responses Across Biological Contexts With a Deep Generative Model Integrating Optimal Transport

Advanced Science, EarlyView.
Single‐cell perturbation responses are predicted across held‐out biological contexts using scPILOT, a query‐conditioned two‐stage latent response‐transfer framework. A shared latent representation supports cell‐level response estimation by latent optimal transport, followed by Leiden‐localized query‐specific transfer and adaptive weighting.
Jialiang Wang, Ziqi Liu, Zhengqian Zhang, Yikun Cao, Junjun Ren, Peng Cheng, Jingjing Tian, Lingyun Xie, Xin Lu, Zhanwei Du, Yongzhuang Liu   +10 more
wiley   +1 more source

A Virtual Machine Platform Providing Machine Learning as a Programmable and Distributed Service for IoT and Edge On-Device Computing: Architecture, Transformation, and Evaluation of Integer Discretization

Algorithms
Data-driven models used for predictive classification and regression tasks are commonly computed using floating-point arithmetic and powerful computers.
Stefan Bosse
doaj   +1 more source

Ultrahigh Interfacial Thermal Conductance across GaN/BAs Interfaces via Atomic‐Level Engineering

Advanced Science, EarlyView.
The integration of gallium nitride (GaN) with ultrahigh‐thermal‐conductivity boron arsenide (BAs) substrates represents a promising pathway for developing next‐generation high‐power devices. The heat dissipation capability of such integrated systems is fundamentally governed by thermal transport across GaN/BAs interfaces, and buffer layers such as ...
Linfeng Yu, Hongkai Zhang, Haofeng Qin, Yi Zhang, Jinyuan Xu, Yiming Zhao, Dongliang Ding, Jianbin Xu, Sunmi Shin, Zhuhua Zhang, Guangzhao Qin   +10 more
wiley   +1 more source

MXene‐Based Room‐Temperature NO2 Gas Sensors: A Meta‐Analysis

Advanced Science, EarlyView.
This study presents the first comprehensive meta‐analysis of MXene‐based NO2 sensors, decoding 32 study characteristics across 61 peer‐reviewed studies. By isolating materials chemistry as the primary performance driver over device‐level parameters, the authors establish a methodological blueprint and a predictive structure–function map to accelerate ...
Alexander Khort, Jerome Geyer‐Klingeberg, Andreas Rathgeber, Suelen Barg   +3 more
wiley   +1 more source

Probabilistic Computing via Gate‐Tunable Random Telegraph Noise

Advanced Science, EarlyView.
Intrinsic random telegraph noise in metal–oxide–semiconductor field‐effect transistors is harnessed to create gate‐tunable probabilistic bits. By modulating carrier‐trapping dynamics, the device produces stochastic binary outputs with a continuous bias‐to‐probability transfer.
Gyungwon Yun, Jin Pyo Kang, Ho‐Sung Lee, Ik‐Hyeon Jeon, Ki‐Ju Park, Won‐Ju Cho, Seung‐heon Chris Baek, Joo‐Hyung Chae, Hamin Park   +8 more
wiley   +1 more source

Molecular Atlas of Key Food Odorants Reveals Mixture‐Level Organization and Enables Generative Aroma Design

Advanced Science, EarlyView.
KFO‐Atlas reveals how real‐world aromas are organized as structured mixtures rather than individual molecules. Building on these principles, KFO‐Gen, a generative AI framework, designs perceptually valid aroma formulations and reconstructs meat‐like aromas exclusively from plant‐derived odorants, providing a foundation for mixture‐level studies and AI ...
Jingzhi Zhang, Huadong Xing, Antonella Di Pizio, Qinfei Ke, Xingran Kou, Dachuan Zhang   +5 more
wiley   +1 more source

Curvature‐Directed Elongation and Chiral Tilting Drive Asymmetric Tissue Patterning

Advanced Science, EarlyView.
Curvature and cell handedness together break tissue symmetry. On convex and concave surfaces, cells elongate along opposite geometric axes and tilt in a consistent chirality‐driven direction, yielding opposite alignment patterns from the same cells. Reversing intrinsic cell chirality reverses both.
Liyao Xu, Frank Daniel Peters, Haokang Zhang, Madison Stiefbold, Thangam Ramar, Aditya Agarwal, Leo Q. Wan   +6 more
wiley   +1 more source

Very-Large-Scale Integration (VLSI) Implementation and Performance Comparison of Multiplier Topologies for Fixed- and Floating-Point Numbers

Applied Sciences
Multiplication is an arithmetic operation that has a significant impact on the performance of several real-life applications such as digital signals, image processing, and machine learning.
Abimael Jiménez, Antonio Muñoz
doaj   +1 more source

Beyond‐Classical Ferroelectric Metamaterials: 3D‐Printed Planar Lattices With Programmable Electro–Thermo–Mechanical Coupling

Advanced Science, EarlyView.
Planar ferroelectric lattices with rationally‐tailored topology and polarization achieve programmable piezoelectric and pyroelectric properties. Analytical modeling, homogenization, and experiments collectively demonstrate enhanced and tunable longitudinal, transverse, and shear piezoelectric responses, together with substantially improved ...
Jiahao Shi, Kang Ju, Haoyu Chen, Valerie Orsat, Agus P. Sasmito, Ali Ahmadi, Abdolhamid Akbarzadeh   +6 more
wiley   +1 more source

LLMs as Representation Generators for Gradient‐Free Scientific Optimization: A Case Study in Battery Fast Charging

Advanced Science, EarlyView.
Large language models serve as representation generators for gradient‐free scientific optimization. Two complementary approaches produce executable battery‐charging policies either directly or through LLM‐designed neural representations coupled to Bayesian optimization.
Ge Lei, Ferran Brosa Planella, Sterling G. Baird, Samuel J. Cooper   +3 more
wiley   +1 more source