Results 151 to 160 of about 7,760 (206)

Comparing the Latent Features of Universal Machine‐Learning Interatomic Potentials

Advanced Intelligent Systems, EarlyView.
This study quantitatively assesses how universal machine‐learning interatomic potentials encode the chemical space into latent features, showing unique model‐specific representations with high cross‐model reconstruction errors. It explores how training datasets, protocols, and targets affect these encodings.
Sofiia Chorna, Davide Tisi, Cesare Malosso, Wei Bin How, Michele Ceriotti, Sanggyu Chong   +5 more
wiley   +1 more source

Diatom‐Inspired 1D Immobile Robots Capable of 2D Collective Mobility

Advanced Intelligent Systems, EarlyView.
This study presents a diatom‐inspired robotic system that explores group coordination through limited physical interactions. The researchers tune groups of Barbots, simple robotic agents that possess neither individual mobility nor explicit communication capabilities, to achieve complex and adaptive collaboration based on environmental light.
Tianyi Hu, Yunjia Zhang, Chu Qiao, Tingrui Zhang, Shuguang Li   +4 more
wiley   +1 more source

Addressing Small Data Challenges in Biopharmaceutical Development and Manufacturing: A Mini Review of Multi‐Fidelity Techniques

Biotechnology and Bioengineering, EarlyView.
ABSTRACT The growing demand for biopharmaceutical products reflects their effectiveness in medical treatments. However, developing new biopharmaceuticals remains a major bottleneck, often taking up to a decade before market approval. Machine learning (ML) models have the potential to accelerate this process, but their success depends on access to large
Mohammad Golzarijalal, Uwe Aickelin, Ellen Otte   +2 more
wiley   +1 more source

Strategies for Realizing Industry 5.0 Inclusive Sustainability Goals for Sustainable Development: A Structured Framework for Overcoming Barriers and Guiding Transformation

Business Strategy and the Environment, EarlyView.
ABSTRACT Industry 5.0 has emerged to address the limitations of Industry 4.0 by emphasizing inclusive sustainability through environmentalism, human‐centricity, and resilience. However, its development faces barriers across technological, organizational, and social dimensions.
Mohammad Ali Beheshtinia, Ali Ghorbani, Masood Fathi, Morteza Ghobakhloo, Behzad Foroughi   +4 more
wiley   +1 more source

Engineering Biochar‐Derived Functional Materials for High‐Performance Supercapacitors: Design Principles, Mechanisms, and Scalable Strategies

Carbon Energy, EarlyView.
ABSTRACT Biochar has emerged as a useful and adaptable source of carbon for supercapacitor electrodes. Its value comes from the way biomass chemistry, thermal conversion, and activation conditions shape the resulting pore network, surface groups, and degree of carbon ordering.
Soumen Mandal, Avinash C. Mendhe, Mayna Roy, Neha S. Barse, Taejoon Park, Han‐Seung Lee, Haigun Lee   +6 more
wiley   +1 more source

Probing the Influence of Sulfur–Aromatic Interactions on the Electronic Structure of Gas‐Phase Peptides

Chemistry – A European Journal, EarlyView.
Just as fingerprints reveal identity, spectroscopic fingerprints reveal molecular secrets. In this article, we show parts of the unique fingerprint of the sulfur–aromatic interaction. By measuring how this force alters the electronic structure of gas‐phase peptides, we provide a fundamental understanding of interactions that give insights into the ...
Laura Pille, Carlos Ortiz‐Mahecha, Bart Oostenrijk, Juliette Leroux, Marion Girod, Konstantin Hirsch, Luke MacAleese, Robert Horst Meißner, Debora Scuderi, Isaak Unger, Vicente Zamudio‐Bayer, Sadia Bari, Lucas Schwob   +12 more
wiley   +1 more source

A Thermodynamically Favoured Molecular Computer: Robust, Fast, Renewable, Scalable

Stérin T, Eshra A, Adio J, Evans CG, Woods D.   +4 more
europepmc   +1 more source

The effect of trait choice on hybrid species distribution model projections under climate change

Ecography, EarlyView.
Species distribution models (SDMs) have been increasingly combined with thermal performance data to enhance their transferability and to provide a physiological explanation for the predicted geographic patterns. Yet, while it is widely acknowledged that thermal sensitivities may vary among biological traits, it remains largely unexplored to what extent
Soria Delva, Jorge Assis, Kenny A. Bogaert, Aisling J. Daly, Wissam Barhdadi, Jan M. Baetens, Bernard De Baets, Olivier De Clerck   +7 more
wiley   +1 more source

Defect Engineering and Effect of Vacancy Concentration on the Electrochemical Performance of V‐Based MXenes

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Using a top‐down defect engineering approach, controllable vacancy concentrations are introduced into V‐based MXenes by rationally designing the precursor MAX phase, aiming to investigate the effect of vacancy concentration on the electrochemical performance.
Leiqiang Qin, Rutuparna Samal, Jianxia Jiang, Joseph Halim, Ningjun Chen, Florian Chabanais, Per O. A. Persson, Johanna Rosen   +7 more
wiley   +1 more source

Multi‐Dimensional Conductive Nanocomposites for Flexible Electronics

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Multi‐dimensional conductive nanocomposites integrate 0D, 1D, and 2D nanomaterials through spatial structure regulation and interface engineering, achieving “1 + 1 > 2” synergistic effects. By leveraging 0D filling to reduce contact resistance, 1D bridging to construct continuous conductive paths, and 2D supporting to enhance mechanical stability ...
Tianyu Wang, Ruimin Cai, Abbas Ali, Lizhe Li, Li Yang, Hulin Zhang, Xuge Fan, Yumin Xia, Wenyong Lai, Linmao Qian, Tiehu Li, Guosheng Shao, Liang Tian   +12 more
wiley   +1 more source