Results 161 to 170 of about 14,292 (256)

Engineering Renewable Lignocellulosic Biomass as Sustainable Solar-Driven Interfacial Evaporators. [PDF]

Nanomicro Lett
Zhu J, Zhang J, Zha J, Zhao S, Ren W, Wang B, Xiao LP, Hao S, Shao C, Yang J, Sun R.   +10 more
europepmc   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

Advances in Genetic Engineering Techniques for Improved Forest Trees: Applications in Biomass, Stress Resilience and Carbon Sequestration. [PDF]

Int J Mol Sci
Matola SH, Li J, Sun M, Yang L, Zhuang W, Yang J.   +5 more
europepmc   +1 more source

Deciphering Short‐Range Order in 2D Transition Metal Dichalcogenides: From Origin to Multi‐Scale Property Modulation

Advanced Science, EarlyView.
Short‐range order in 2D transition metal dichalcogenides is revealed as a new design paradigm. Driven by chemical affinity and atomic size, it governs properties across scales. Weak ordering tunes site‐resolved magnetism and d‐band centers, while strong ordering eliminates gap states to open band gaps.
Hanyu Liu, Linggang Zhu, Jian Zhou, Zhimei Sun   +3 more
wiley   +1 more source

Biotechnological applications of D-xylose-fermenting autochthonous yeasts in lignocellulosic biorefineries. [PDF]

Biotechnol Biofuels Bioprod
Machado DD, Martinez CB, Souza VP, Linck MM, Bonatto D.   +4 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

Cellulose-enabled Hydrovoltaic Energy Generation: from Molecular and Materials Design to Device Integration. [PDF]

Nanomicro Lett
Shin E, Zan G, Zhao K, Li S, Kim G, Kwon M, Kim H, Shim JK, Park C.   +8 more
europepmc   +1 more source

Engineering Microbial Particles for Next‐Generation Biomedical Platforms

Advanced Science, EarlyView.
Microbe‐derived particles (MDPs), which include extracellular vesicles, outer membrane vesicles, inclusion bodies, polysaccharide particles, and virus‐like particles, represent a rapidly expanding category of bioinspired nanomaterials. With their natural origin, intrinsic biocompatibility, and highly programmable functionality, MDPs serve as a ...
Yuting Li, Yunjie Lu, Ziyan Huang, Jianjiang Chen, Yanbin Liu, Lei Qin, Chao Wang, Yumin Wu   +7 more
wiley   +1 more source

Influence of Polyurethane Adhesive Formulation on Shear Performance of Maritime Pine Cross-Laminated Timber Under Dry and Moist Exposure Conditions. [PDF]

Materials (Basel)
Cavalcante A, Martins JM, Almeida ML, Del Menezzi CHS, Carvalho LH.   +4 more
europepmc   +1 more source

Functional Disorder at the Neural Interface: How Disordered Nanostructures Promote Proper Growth and Differentiation in In Vitro Neural Cultures

Advanced Science, EarlyView.
This work provides a practical guide for neuroengineers to design advanced neural interfaces, embracing and tailoring the concept of functional disorder. By bridging 2D and 3D in vitro models, this work highlights how non‐periodic, spatially heterogeneous, multiscale nanotopography can enable more physiologically relevant platforms for studying neural ...
F. Maita, E. Palmieri, I. Lucarini, L. Montaina, L. Maiolo   +4 more
wiley   +1 more source