Results 171 to 180 of about 716,340 (266)

A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction

Advanced Intelligent Discovery, EarlyView.
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta, Madison Dautle, Shaoqiang Zhang, Yong Chen   +3 more
wiley   +1 more source

In Situ Contact Angle Measurement for Autonomous Spin Coating in Self‐Driving Labs

Advanced Intelligent Discovery, EarlyView.
A vision‐based add‐on transforms commercial spin coaters into autonomous modules of Self‐Driving Labs. Combining a width‐scaled U‐Net with classical geometric analysis, the system simultaneously measures contact angles and estimates substrate pose using a single camera.
Sven Fischer, Micha Hiegle, Holger Röhm
wiley   +1 more source

Crystal Structure Prediction of Inorganic Materials: A Benchmark and Modern Evaluation

Advanced Intelligent Discovery, EarlyView.
Predicting a crystal’s structure from composition alone is a long‐standing challenge in materials discovery. The CSP180 benchmark of 180 inorganic crystals evaluates thirteen crystal structure prediction algorithms requiring no density functional theory (DFT) against DFT‐based baselines across twelve metrics.
Lai Wei, Sadman Sadeed Omee, Rongzhi Dong, Nihang Fu, Yuqi Song, Edirisuriya M. Dilanga Siriwardane, Meiling Xu, Ming Hu, Chris Wolverton, Jianjun Hu   +9 more
wiley   +1 more source

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source

Research on Heat Transfer Enhancement of Spiral Grooved Tube Heat Exchangers Based on CFD and Artificial Intelligence

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Driven by the energy crisis and carbon neutrality goals, high‐efficiency heat exchange equipment has become a core demand in the industrial sector. The spiral grooved double‐pipe heat exchanger exhibits significant heat transfer enhancement advantages, yet it requires balancing heat transfer efficiency and pressure loss.
Yueyun Yang, Wei Li, Xiuzhi Xi, Neng Gao
wiley   +1 more source

Is entropy objective? Rethinking the foundations of irreversibility and the second law. [PDF]

PNAS Nexus
Parrondo JMR.
europepmc   +1 more source

Polymer‐Based Probabilistic Bits for Thermodynamic Computing

Advanced Physics Research, EarlyView.
Electropolymerized conjugated polymers function as intrinsic entropy sources for probabilistic computing. Thermally driven conformational fluctuations of pendant triphenylamine groups produce stochastic resistance dynamics that are transduced into voltage‐gated probabilistic bits following logistic transfer functions identical to those of stochastic ...
Stephen H. Foulger, Yuriy Bandera, Igor Luzinov, Travis Wanless, Lubomir Kostal, Vojtech Nádaždy, Petr Janovský, Jarmila Vilčáková   +7 more
wiley   +1 more source

Extracellular Vesicle Release Within Energetic and Quantitative Constraints: Implications for Function. [PDF]

J Extracell Vesicles
Preußer C, von Strandmann EP.
europepmc   +1 more source

Infinite Functional Versatility, Formidable Limits: Evaluating Gallium‐Based Liquid Metals in Rechargeable Batteries

Carbon Energy, EarlyView.
Beyond the hype surrounding the self‐healing properties of gallium‐based liquid metals (Ga‐LMs), this perspective critically examines their functional roles in metal‐ion batteries, highlighting both their underlying merits and the often‐overlooked challenges, including non‐representative design and testing configurations, performance overestimations ...
Turly P. P. Sumanasekara, Petar Jovanović, Ali Zavabeti, Dan Yang, Mainak Majumder, Anthony F. Hollenkamp, Torben Daeneke, Mahdokht Shaibani   +7 more
wiley   +1 more source

Thermodynamics à la Souriau on Kähler Non-Compact Symmetric Spaces for Cartan Neural Networks. [PDF]

Entropy (Basel)
Fré PG, Sorin AS, Trigiante M.
europepmc   +1 more source