Results 191 to 200 of about 2,151,737 (304)

Interfacial Degradation Electrochemistry of Micro‐Silicon Anodes in Solid‐State and Liquid Electrolytes

Advanced Science, EarlyView.
This schematic compares m‐Si degradation in liquid electrolyte and solid electrolyte systems. In liquid electrolyte, repeated cycling induces severe particle pulverization and thick, unstable SEI growth. In contrast, the solid electrolyte configuration suppresses interfacial reactions, enabling a thin, stable SEI and improved structural integrity ...
Seokjin Kim, Jeongwoo Kim, Jaekyung Sung
wiley   +1 more source

Using drift coefficients as a basis for inferring times, effective population sizes, and genetic adaptations. [PDF]

Mol Biol Evol
Nakamichi R, Thorne JL, Kishino H.
europepmc   +1 more source

Eco‐Friendly Solvent System for Inkjet Deposition of Wide Bandgap Perovskite Solar Cells Enabling Tandem Integration

Advanced Science, EarlyView.
The fabrication of wide‐bandgap perovskite thin films via green solvents integrated with inkjet printing is developed. Controlled crystallization of the perovskite layer is achieved by optimizing ink formulation and additive engineering, enabling power conversion efficiencies above 17% for single junctions and 28% for perovskite/silicon tandem solar ...
Uma Kousalya Dangudubiyyam, Raphael Pesch, Ozan Karakaya, Theresa Kuechle, Faranak Sadegh, Nils W. Rosemann, Henry Weber, Ralf Niemann, Fabian Fertig, Johannes Sutter, Jinzhao Li, Gerardo Hernandez Sosa, Ulrich W. Paetzold   +12 more
wiley   +1 more source

scDEBGCL: a deep embedding approach based on bipartite graph contrastive learning for single-cell RNA-seq data. [PDF]

BMC Biol
Wang J, Ke D, Xia J, Liu A, Su Y, Zheng CH.   +5 more
europepmc   +1 more source

A Generative Neuro‐Symbolic AI for Protein Sequence Design

Advanced Science, EarlyView.
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne, Delphine Dessaux, Samuel Buchet, Lucie Barthe, Liza Ammar‐Khodja, Bessam Azizi, Valentin Durante, Gianluca Cioci, Simon de Givry, Alain Roussel, Luis F. Garcia‐Alles, Thomas Schiex, Sophie Barbe   +12 more
wiley   +1 more source

The Quantum Optimization Benchmarking Library. [PDF]

Nat Comput Sci
Koch T, Bernal Neira DE, Chen Y, Cortiana G, Egger DJ, Heese R, Hegade NN, Gomez Cadavid A, Huang R, Itoko T, Kleinert T, Maciel Xavier P, Mohseni N, Montanez-Barrera JA, Nakano K, Nannicini G, O'Meara C, Pauckert J, Proissl M, Ramesh A, Schicker M, Shimada N, Takeori M, Valls V, Van Bulck D, Woerner S, Zoufal C.   +26 more
europepmc   +1 more source

StackingNet: Collective Inference Across Independent AI Foundation Models

Advanced Science, EarlyView.
ABSTRACT Artificial intelligence (AI) built on large foundation models has transformed language understanding, computer vision, and reasoning, yet these systems remain isolated and cannot readily share their capabilities. Coordinating the complementary strengths of independently developed, black‐box foundation models is essential for trustworthy ...
Siyang Li, Chenhao Liu, Dongrui Wu, Zhigang Zeng, Lieyun Ding   +4 more
wiley   +1 more source

A Hybrid Model for Copper Futures Price Forecasting Utilizing Complexity-Aware Variational Mode Decomposition and Reconstruction and Multi-Behavior-Triggered Interaction Modeling. [PDF]

Entropy (Basel)
Li Y, Liu D.
europepmc   +1 more source

Cobalt Single‐Atom Nanozyme for Enhanced Intestinal Radioprotection and Tumor Radiosensitization via Bidirectional ROS Modulation

Advanced Science, EarlyView.
Orally administered, pH‐responsive Co‐SAN exerts dual functions: in the alkaline intestinal milieu, it scavenges reactive oxygen species (ROS) and suppresses the PI3K/AKT pathway and NETs formation, thus providing radioprotection; whereas in the acidic tumor microenvironment, it generates ROS and alleviates hypoxia, thereby enhancing radiosensitization.
Shengqi Yin, Junjie Li, Yishu Zou, Yang Liu, Yilin Zheng, Lu Yu, Wanying Zheng, Yajun Zou, Zehui Zhang, Tao Li, Peiqun Yin, Jianlin Zhang, Yuen Wu, Yi Ding   +13 more
wiley   +1 more source

Empirical Bayes Covariance Decomposition, and a Solution to the Multiple Tuning Problem in Sparse PCA. [PDF]

J Comput Graph Stat
Kang J, Stephens M.
europepmc   +1 more source