Results 231 to 240 of about 2,307,608 (312)

Data‐Driven Cation Engineering Guides Electrolyte Design for Sustainable Aqueous Zinc Battery Chemistries

Advanced Materials, EarlyView.
To address the persistent challenges of vanadium dissolution and capacity fading in zinc‐ion batteries, we introduce a cation‐engineered electrolyte strategy underpinned by a data‐driven framework. This approach efficiently and reliably predicts a Na+‐Mg2+‐Zn2+ tri‐cation electrolyte with well‐balanced and sustainable advantages, enabling Zn/VOx ...
Xuesong Xie, Yinfei Lyu, Huorong Ren, Witold Pedrycz, Yifan Li, Yang Yang, Xuehai Tan, Minggang Xie, Yi Guan, Yuxuan Xue, Ning Chen, Zhi Li   +11 more
wiley   +1 more source

Data‐Driven Discovery of Quaternary Ammonium Interlayers for Efficient and Thermally Stable Perovskite Solar Cells

Advanced Materials, EarlyView.
An active learning framework, grounded in independently generated in‐house experimental data, enables reliable discovery of high‐performance interfacial materials for perovskite solar cells. Iterative model refinement autonomously converges toward structurally robust quaternary ammonium architectures, establishing a new design principle for interfacial
Jongbeom Kim, Yang Jeong Park, Chaehoon Jeon, Nahye Shin, Jaewang Park, Seungun Lee, Jino Im, Sungroh Yoon, Sang Il Seok   +8 more
wiley   +1 more source

Machine learning-driving optimization and spatial assembly of a cell-free system for high-yield liquiritigenin production. [PDF]

Adv Biotechnol (Singap)
Liu F, Zhao SB, Liu YH, Li JF, Lin NQ, Mutailifu M, Xu P, Liu JZ.   +7 more
europepmc   +1 more source

New‐Era Polymer Thermoelectrics: Material Innovations, Doping Frontiers, Decoupling Strategies, and Unconventional Applications

Advanced Materials, EarlyView.
The field of polymer thermoelectrics is entering a new era, featuring breakthroughs in addressing the conventional performance disparity between p‐type and n‐type polymers, pioneering doping frontiers, and sophisticated decoupling strategies. This review explores innovations in molecular design and superior stabilities, bridging the gap from ...
Suhao Wang
wiley   +1 more source

Interpretable machine learning in type-2 diabetes prediction in patients with depressive symptoms: Insights from mendelian randomization and physical activity. [PDF]

Sci Prog
Li Z, Qiu X, Wu W, Kang H.
europepmc   +1 more source

Turning Unpredictable Biomolecule Adsorption to Controlled Corona Formation: Focus on Carbon Nanomaterials

Advanced Materials, EarlyView.
Controlling the protein corona formation onto carbon nanomaterials (CNMs) enhances their functionalities as platforms for cancer theranostics. Here, we reviewed the effects of the intrinsic and acquired properties of CNMs on protein corona formation, the consequent biological and toxicological outcomes, and the strategies to reshape corona formation ...
Yajuan Zou, Yalei Hu, Jie Yu, Naoki Komatsu, Yuta Nishina, Alberto Bianco   +5 more
wiley   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Integrative transcriptomic meta-analysis reveals conserved transcriptional signatures and predictive biomarkers for active tuberculosis: a pathway-based machine learning approach. [PDF]

Front Microbiol
Li T, Liu H, Lei Q, You Z.
europepmc   +1 more source