Results 191 to 200 of about 1,137,059 (290)

Accelerating Discovery of Organic Molecular Crystals via Materials Informatics and Autonomous Experiments

Advanced Intelligent Discovery, EarlyView.
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi, Kazuki Ishizaki, Ryo Fukasawa   +2 more
wiley   +1 more source

Materials Representation Learning Based on a Material–Motif Network and Heterogeneous Graphs

Advanced Intelligent Discovery, EarlyView.
Structure motifs in materials are used to construct a bipartite material–motif network that links each material to its constituent motifs and establishes connectivity among materials sharing common motifs. Network analysis reveals material clusters associated with different functional applications and supports motif‐guided screening of materials.
Anoj Aryal, Weiyi Gong, Huta Banjade, Qimin Yan   +3 more
wiley   +1 more source

Catalyst‐Specialized Chemical Language Model Based on Transformer Variational Autoencoder for Catalyst Design and Discovery

Advanced Intelligent Discovery, EarlyView.
We present CatTransVAE, a catalyst‐specialized chemical language model (CLM) built on a transformer variational autoencoder (VAE), developed through pretraining on general compounds followed by fine‐tuning on diverse catalyst databases. A template‐guided generation framework is introduced to enable controlled catalyst design under structural ...
Apakorn Kengkanna, Masahito Ohue
wiley   +1 more source

A 3D Multitask Graph Neural Network Framework for Ames Mutagenicity Prediction

Advanced Intelligent Discovery, EarlyView.
Our proposed multitask graph neural network model has a high predictive accuracy for Ames mutagenicity. By operating directly on molecular graph representations instead of traditional molecular descriptors, and predicting strain‐specific results, the model outperforms most existing benchmarks.
Abigail E. Teitgen, Eugenia Ulzurrun, Nuria E. Campillo, Eduardo R. Hernández   +3 more
wiley   +1 more source

Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios, Léon Chiriatti, Simon Poppinga, Thomas Speck, Vincent Le Houérou   +4 more
wiley   +1 more source

Aromatic Pummerer‐Promoted Stereospecific Cross‐Coupling of Thiazoles With Boronic Esters

Angewandte Chemie, EarlyView.
A lithiation–borylation–aromatic Pummerer (LiBAP) strategy enables stereospecific, C5‐selective C(sp2)–C(sp3) cross‐coupling of thiazoles with boronic esters. By using exocyclic sulfoxide activation to overcome the low nucleophilicity that frustrates SEAr‐type coupling, the method delivers enantioenriched alkylated thiazoles bearing a versatile C2 ...
Mark John P. Mandigma, Julien Lefranc, Louise Eagling, Jasper L. Tyler, Varinder K. Aggarwal   +4 more
wiley   +2 more sources

Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation

Advanced Intelligent Systems, EarlyView.
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison, Kevin Nadaud, Josquin Harrison, Guillaume F. Nataf, Laura Bégon‐Lours   +4 more
wiley   +1 more source

3D Closed‐Loop Navigation of Magnetic Microswimmers Using Vision‐Derived Depth Feedback

Advanced Intelligent Systems, EarlyView.
A planar magnetic microswimmer is navigated in three dimensions under a standard microscope. Image defocus supplies a real‐time depth cue, and model‐predictive control with A* planning steers the body on surfaces and in free swimming. Axial position is regulated by propulsion alone, without magnetic field gradients or extra cameras.
Yasin Cagatay Duygu, Sangwon Lee, Min Jun Kim   +2 more
wiley   +1 more source

Electron Donor–Acceptor Complex Catalysis in Synthetic Chemistry

Angewandte Chemie, EarlyView.
Electron donor–acceptor (EDA) complexes are moving beyond stoichiometric photoactivation toward catalytic platforms for radical generation. Productive EDA catalysis requires coordinated donor–acceptor association, charge‐transfer excitation, radical reactivity, and vcatalyst turnover.
Tristan von Münchow, Andrea Palone, Jonathan Samuel Trimble, Paolo Melchiorre   +3 more
wiley   +1 more source

1‐Azabicyclo[1.1.0]butanes (ABBs) on the Map: Mechanistic Pathways for Catalytic Ring Opening and Functionalizations

Angewandte Chemie, EarlyView.
Catalytic strain‐release ring opening and functionalizations of 1‐azabicyclo[1.1.0]butanes (ABBs) represent a promising strategy for accessing diverse azetidine products. These transformations proceed via polar pathways, radical pathways, and hybrid mechanisms that combine both.
James Shao‐Jiun Yang, Hsuan‐Hung Liao   +1 more
wiley   +1 more source