Results 251 to 260 of about 491,707 (327)

Collective artificial intelligence and evolutionary dynamics. [PDF]

Proc Natl Acad Sci U S A
Sehwag UM, McAvoy A, Plotkin JB.
europepmc   +1 more source

A Multiscale Pore Analysis Method for Polymer Electrolyte Membrane Fuel Cell Catalyst Layers Validated and Exemplified by Correlating Microstructure with Production Process Parameters

Advanced Energy and Sustainability Research, EarlyView.
A multiscale pore analysis method is presented for polymer electrolyte membrane fuel cell catalyst‐coated membranes (CCMs), integrating mercury intrusion porosimetry, focused ion beam scanning electron microscopy image analysis via a custom MATLAB tool, and optical/atomic‐force microscopy.
Ahammed Suhail Odungat, Lars Grebener, Oliver Pasdag, Thai Binh Nguyen, Yawen Zhu, Sebastian Kohsakowski, Ivan Radev, Fatih Özcan, Doris Segets   +8 more
wiley   +1 more source

Nonlinear Dynamics and Applications. [PDF]

Entropy (Basel)
Amigó JM, Montani F.
europepmc   +1 more source

Metal‐Organic Open‐Framework Molecular Magnet Based on Vanadium Hexacyanoferrate Prussian Blue Analogs as Cathode Material for Advanced Potassium Ion Aqueous Battery

Advanced Energy and Sustainability Research, EarlyView.
An aqueous potassium‐ion battery using vanadium hexacyanoferrate (VHCF) as the cathode and graphite as the anode is presented. During charge/discharge, K+ ions shuttle between electrodes through the electrolyte, enabling energy storage. The VHCF material demonstrates high capacity (≈121 mAh g−1), fast kinetics, and eco‐friendliness, making it a ...
Nilasha Maiti, Pramod Bhatt, Mayuresh D. Mukadam, Manoj K. Sharma, Sher Singh Meena, Himal Bhatt, Katsuya Inoue, Kenya Shimada, Masahiro Sawada, Frank M. F. de Groot, Seikh Mohammad Yusuf   +10 more
wiley   +1 more source

Challenges and opportunities for the next generation of computational tumor models. [PDF]

PLoS Biol
Munn LL, Jain RK.
europepmc   +1 more source

Machine Learning for Organic Fluorescent Materials

Aggregate, EarlyView.
Organic fluorescent materials (OFMs) have demonstrated significant potential in diverse applications. Conventional approaches for studying OFMs face significant limitations in fluorescence spectroscopy and computational methods. Machine learning (ML) has revolutionized materials chemistry, offering superior predictive accuracy and efficiency over ...
Jiamin Zhong, Wei Zhu, Shoutao Shen, Nan Zhou, Meiyang Xi, Kui Du, Dong Wang, Ben Zhong Tang   +7 more
wiley   +1 more source

Analyzing the neural wave structures in the field of neuroscience. [PDF]

Sci Rep
Younas U, Muhammad J, Almutairi DK, Khan A, Abdeljawad T.   +4 more
europepmc   +1 more source

GED‐CRN Breaks the Data Barrier: High‐Fidelity Electron Density Prediction Using Only 19 Training Molecules

Aggregate, EarlyView.
GED‐CRN: A Machine Learning Framework for Predicting Electron Density Distributions from Molecular Geometries via a Cube‐Sampling Approach. ABSTRACT We present GED‐CRN, a 3D convolutional residual network that achieves quantum‐chemical accuracy (MAE =7.6×10−4$= 7.6 \times 10^{-4}$ bohr−3${\rm bohr}^{-3}$) in predicting electron densities for AIE‐active
Junyi Gong, Haoran Wang, Zijie Qiu, Zheng Zhao, Ben Zhong Tang   +4 more
wiley   +1 more source

A novel decision-making approach for the selection of best deep learning techniques under logarithmic fractional fuzzy set information. [PDF]

Sci Rep
Ullah N, Azam M, Abbas M, Hussain W, Birhanu A, Gepreel KA.   +5 more
europepmc   +1 more source

Hybrid rule‐based and optimization‐driven framework for the synthesis of end‐to‐end optimal pharmaceutical processes

AIChE Journal, EarlyView.
Abstract The modernization of pharmaceutical manufacturing is driving a shift from traditional batch processing to continuous alternatives. Synthesizing end‐to‐end optimal (E2EO) manufacturing routes is crucial for the pharmaceutical industry, especially when considering multiple operating modes—such as batch, continuous, or hybrid (containing both ...
Yash Barhate, Daniel J. Laky, Daniel Casas‐Orozco, Gintaras V. Reklaitis, Zoltan K. Nagy   +4 more
wiley   +1 more source