Results 161 to 170 of about 36,951 (313)

The Effect of the Back Surface Field on the Performance of Cu₃SnS₄ Thin Film Solar Cell Modeled Using SCAPS-1D Software. [PDF]

Nanomaterials (Basel)
Gezgin SY, Baturay Ş, Zaki SE, Kiliç HŞ.   +3 more
europepmc   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source

POSS Polyimide Composite Sealed Triple-Junction GaAs Thin-Film Solar Cell for Long-Term Low Earth Orbit Serve. [PDF]

Adv Sci (Weinh)
Qian M, Wu M, Xuan X, Gao Y.
europepmc   +1 more source

Hydrophobicity Modulated Interfacial Water Distribution for Enhanced Kinetics of HER

Advanced Science, EarlyView.
In electrocatalysis, hydrophilic structures improve interfacial water management by forming a continuous, compact water film that facilitates proton/hydrogen transport, thereby lowering the effective adsorption free energy of H*. By contrast, hydrophobic structures enable rapid gas transport and promote the capture and local enrichment of gaseous ...
Yucheng Dong, Xinfa Wei, Xiangdong Xue, Hanxiao Wang, Qing Dong, Jian Liu   +5 more
wiley   +1 more source

Indium and Silver Recovery from Perovskite Thin Film Solar Cell Waste by Means of Nanofiltration. [PDF]

ACS Sustain Resour Manag
Amrein M, Rohrer K, Hengevoss D, Jin H, Snaith HJ, Thomann M, Nüesch F, Lenz M.   +7 more
europepmc   +1 more source

Bioinspired Interfacial Hydration Engineering via Metal–Organic Frameworks for Efficient Nitrate‐To‐Ammonia Conversion in Neutral Media

Advanced Science, EarlyView.
Inspired by Nitrite reductase, a metal–organic framework overlayer is introduced to regulate the interfacial hydration microenvironment on Cu electrodes, enriching hydrated K+ species that act as efficient proton donors. This strategy enables nitrate‐to‐ammonia conversion with near‐unity selectivity at industrial‐level current densities in neutral ...
Yuyin Mao, Minghui Zhang, Xiangdong Xue, Chengyu Guo, Jian Liu   +4 more
wiley   +1 more source

Giant Conductivity Modulation and Chemical Neuromodulation via Proton‐Electron Coupling in a Hydrogen‐Bonded Coordination Polymer

Advanced Science, EarlyView.
A “de‐doping” strategy positions mixed protonic–electronic conductors (MPECs) as adaptive neuromorphic platforms with dynamically tunable transport. Co‐BAND achieves giant conductivity modulation (>106) and chemically tunable synaptic plasticity. Analogous to biological neuromodulation, solvent vapors dynamically reprogram the device's learning rules ...
Kwangmin Park, Jumin Park, Huiyeong Ju, Nasim Arafat, Byoung Gwan Lee, Joohee Oh, Eejin Jang, Hyunseob Lim, Seok Min Yoon, Dae‐Woon Lim, Intek Song   +10 more
wiley   +1 more source

Impact of a Thin Sacrificial Mo Layer on the Formation of the Wide Band Gap ACIGSe Absorber/ITO Thin-Film Solar Cell Interface. [PDF]

ACS Appl Mater Interfaces
Demling A, Gutzler R, Almeida Alves CF, Wilks RG, Félix R, Hariskos D, Paetel S, Cerqueira R, Sadewasser S, Witte W, Bär M.   +10 more
europepmc   +1 more source

Transforming the energy system - the evolution of the German technological system for solar cells [PDF]

To improve our understanding of processes involved in the formation and growth of new technological systems in the energy sector and to identify the associated key challenges for policy makers managing the transformation process, we examine the ...
Björn A. Andersson, Lennart Bångens, Staffan Jacobsson   +2 more
core  

Decoupling Intrinsic Molecular Efficacy From Platform Effects: An Interpretable Machine Learning Framework for Unbiased Perovskite Passivator Discovery

Advanced Science, EarlyView.
This study establishes an interpretable machine learning framework that disentangles the intrinsic molecular efficacy of passivators from experimental platform effects—enabling unbiased, high‐throughput discovery of effective perovskite surface modifiers.
Jing Zhang, Ziyuan Li, Shan Gao, Zhen Zhu, Jing Wang, Xiangmei Duan   +5 more
wiley   +1 more source