Results 181 to 190 of about 44,789 (219)

A nanomagnetic triazole-based Schiff-base complex of palladium(0) as an efficient heterogeneous catalyst for the Mizoroki-Heck C-C cross-coupling reaction under green conditions. [PDF]

Nanoscale Adv
Mehdar YTH, Alshamsan FM, Nashawi AA, Eledum H, Alshammari AM, Almutairi JA.   +5 more
europepmc   +1 more source

Transforming Brain Organoids Into Functional Platforms: Convergence of Engineering, Imaging, AI, and Ethics

Advanced Science, EarlyView.
Brain organoids are emerging as increasingly functional human‐relevant platforms, yet limitations in vascularization, maturation, measurement, and reproducibility still constrain their translational value. This Perspective examines how microfluidics, biofabrication, advanced imaging, electrophysiology, multimodal AI, standardization, and ethical ...
Aishwarya Pantula, Kaustubh Joshi, Swarangi Samant, Greta Babakhanova, Annie Kathuria   +4 more
wiley   +1 more source

Chiral amido-oxazoline functionalized MCM-41: A sustainable heterogeneous catalyst for enantioselective Kharasch-Sosnovsky and Henry reactions. [PDF]

Heliyon
Tavakoli N, Arvinnezhad H, Majidian S, Mahramasrar M, Jadidi K, Samadi S.   +5 more
europepmc   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

SiO₂@Benzothiazole-Cl@Fc as an Efficient Heterogeneous Catalyst for the Synthesis of 1,3,5-Trisubstituted Pyrazoles by A³ Coupling. [PDF]

ChemistryOpen
Sead FF, Jain V, R R, Kashyap A, Saini S, Sharma GC, Negi Bhakuni P, Kazemi M, Javahershenas R.   +8 more
europepmc   +1 more source

Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing

Advanced Science, EarlyView.
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale, Marie Celine Lefevre, Alessio Carmignani, Maria Cristina Ceccarelli, Matteo Battaglini, Attilio Marino, Gianni Ciofani   +6 more
wiley   +1 more source

Tetrahydrodipyrazolopyridine covalently immobilized on silica-coated magnetic nanoparticles as a basic heterogeneous catalyst for multicomponent synthesis of dihydropyrano[2,3-c]pyrazole derivatives and Knoevenagel condensation. [PDF]

Sci Rep
Saffar A.
europepmc   +1 more source

Integrating Machine Learning With Constant‐Potential Simulation to Unravel Charge‐Transfer Mechanisms in Electrochemical Nitrogen Fixation

Advanced Science, EarlyView.
Integrating interpretable machine learning with the fixed‐potential method reveals a novel mechanism: the catalytic activity of the electrochemical nitrogen reduction reaction is governed by partial charge transfer, induced by variations in the intermediate potential of zero charge under constant potential.
Yufei Xue, Dushuo Feng, Yuefei Zhang, Yang Zhang, Yalong Jiao, Aijun Du, Guoping Gao   +6 more
wiley   +1 more source

Cellular internalization, cytotoxicity and DNA binding property of 2,3-diaminophenazine, synthesized using Jeanbandyite, a heterogeneous catalyst. [PDF]

Sci Rep
Sen S, Basak S, Pandit S, Sarkar P, Kim TW, Ghosh N, Kong HJ, Ryu JS, Singh B, Roy R, Mondal R, Saha A, Jeon S, Bhattacharya S, Im J, Biswas G.   +15 more
europepmc   +1 more source

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source