Results 101 to 110 of about 86,402 (258)

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

THE INTEGRATION OF COMPUTATIONAL CHEMISTRY TO SUPPORT INTERACTIVE LEARNING MEDIA FOR SENIOR HIGHSCHOOL: AN INNOVATIVE STRATEGY TO IMPLEMENT ‘KURIKULUM MERDEKA’

Jurnal Layanan Masyarakat (Journal of Public Services)
Simulation or chemical modeling with computers is a major topic in computational chemistry. This subject is not covered in high school material, however, this method can be applied to support a more interactive learning process.
Kautsar Ul Haq, Alfinda Novi Kristanti, Hery Suwito, Nanik Siti Aminah, R. Aryabraga Rusdipoetra, Fariz Rizky Alfian, Syarifah Asyura   +6 more
doaj   +1 more source

Space‐Time Coding Conformal Metasurfaces for Multifrequency Beam Steering and Shaping

Advanced Materials, EarlyView.
Space‐time coding conformal metasurfaces enable dynamic wave control on curved surfaces by combining programmable spatial patterns with temporal modulation. This study shows that a single conformal aperture can independently manipulate multiple frequency components, achieving multifunctional beam shaping and steering, with implications for ...
Filippo Pepe, Lei Zhang, Yi Ning Zheng, Xiao Qing Chen, Ivan Iudice, Giuseppe Castaldi, Marco Di Renzo, Tie Jun Cui, Vincenzo Galdi   +8 more
wiley   +1 more source

Approximation theory, computing, and deep learning on the Wasserstein space

Mathematical Models and Methods in Applied Sciences
The challenge of approximating functions in infinite-dimensional spaces from finite samples is widely regarded as formidable. In this study, we delve into the challenging problem of the numerical approximation of Sobolev-smooth functions defined on probability spaces. Our particular focus centers on the Wasserstein distance function, which serves as a
Massimo Fornasier, Pascal Heid, Giacomo Enrico Sodini   +2 more
openaire   +2 more sources

Optoelectronic Nanofluidic Neural Networks for Ionic Computing

Advanced Materials, EarlyView.
An ion‐based optoelectronic nanofluidic memristor enables neuromorphic computing in aqueous environments. With tunable ionic memory and multimodal synaptic plasticity, it realizes densely connected ionic neural networks capable of image classification, motion prediction, logic computation, and real‐time in‐sensor computing, advancing fully connected ...
Yaxin Huang, Zhiyuan Du, Changjin Wu, Binglin Zeng, Yingnan Cao, Mingliang Li, Liren Zhang, Qingxin Guo, Chao Huang, Can Li, Jinyao Tang   +10 more
wiley   +1 more source

Reversible Hydration Tuning of Polar Order and Large Nonlinear Optical Response in a 2D van der Waals Crystal, LiInP2S6

Advanced Materials, EarlyView.
Hydration‐induced symmetry breaking transforms layered LiInP2S6${\rm LiInP}_2{\rm S}_6$ from a nonpolar to a chiral‐polar phase, producing a giant enhancement of non‐resonant second‐harmonic generation. The reversible tuning of polar order through molecular intercalation establishes a strategy for dynamically controlling nonlinear optical ...
Jadupati Nag, Saugata Sarker, Michael J. Waters, Safdar Imam, Himirkanti Sarkar, Anthony Richardella, James M. Rondinelli, Mercouri G. Kanatzidis, Venkatraman Gopalan   +8 more
wiley   +1 more source

A Chemical Framework for Engineering Extracellular Vesicles’ Biointerface to Advance Precision Therapeutics

Advanced Materials, EarlyView.
Extracellular vesicles (EVs) are cell‐derived nanoparticles that mediate intercellular communication through their dynamic biointerfaces. Owing to their intrinsic biological functions, EVs have emerged as promising platforms for biomedical applications.
Leila Pourtalebi Jahromi, Felix Geng, Jan‐Noël Frenzke, Gregor Fuhrmann   +3 more
wiley   +1 more source

First-principles and machine-learning approaches for interpreting and predicting the properties of MXenes

npj 2D Materials and Applications
MXenes are a versatile family of 2D inorganic materials with applications in energy storage, shielding, sensing, and catalysis. This review highlights computational studies using density functional theory and machine-learning approaches to explore their ...
José D. Gouveia, Tiago L. P. Galvão, Kais Iben Nassar, José R. B. Gomes   +3 more
doaj   +1 more source

Mechanistically Interpretable Artificial Intelligence for Designing Oxygen Electrocatalysts

Advanced Materials, EarlyView.
Mechanistically interpretable artificial intelligence screens nearly seven million perovskite compositions and identifies key descriptors—d‐p hybridization and densification resistance—that govern oxygen electrocatalysis. The discovered BaCo0.8Nb0.1Zr0.1O3‐δ achieves a record 2.68 W cm−2 peak power density at 600°C with over 500 h of durable operation ...
Xueyu Hu, Yucun Zhou, Haoyu Li, Zheyu Luo, Nai Shi, Yong Ding, Weining Wang, Weilin Zhang, Doyeub Kim, Chanho Kim, Yoojin Ahn, Nikhil Govindarajan, Minda Zou, Zhijun Liu, Yuefeng Song, Meilin Liu   +15 more
wiley   +1 more source

Escaping the Scaling Relationships in Oxygen Reduction Catalysis: Implications for PEM Fuel Cells

Advanced Materials, EarlyView.
Escaping the scaling relationships of the oxygen reduction reaction is vital for hydrogen fuel cells. This outlook examines how interfacial heterogeneity, spanning the subsurface lattice, chemisorption layer, and near‐interface solvation volume, mechanistically decouples intermediate binding energetics.
Muhammad Bilal Wazir, Lourdes F. Vega, Maryam Khaleel   +2 more
wiley   +1 more source