Results 151 to 160 of about 39,381 (245)
The objective of this thesis is to create a framework that can be used by supply chains, in particular supply chains from the pulp and paper industry, to identify internal strengths and weaknesses and external opportunities and threats to develop environmental strategies.
Anker-Rasch, Trine-Lise +1 more
openaire +1 more source
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 +8 more
wiley +1 more source
A duo-theme cloud model DEMATEL approach for exploring the cause factors of green supply chain management. [PDF]
Chen JK, Tseng TC.
europepmc +1 more source
The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley +1 more source
Environmental Orientation, Green Supply Chain Management, and Firm Performance: Empirical Evidence from Chinese Small and Medium-Sized Enterprises. [PDF]
Bu X, Dang WVT, Wang J, Liu Q.
europepmc +1 more source
Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair +3 more
wiley +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Evolution‐Driven Bio‐Composite Aerogels for Self‐Adaptive Thermal Regulation and Energy Storage
Inspired by nature's multiphase integration, a single chitosan (CTS)–metal chloride (MCl3) coordination precursor is engineered to enable sequential material and functional evolution. The resulting metal ion‐coordinated chitosan (CTS–M) aerogels exhibit humidity‐adaptive thermal insulation for battery safety, while carbonization yields conductive ...
Xiaoxue Zhang +5 more
wiley +1 more source
We report a wearable photonic patch integrating room light‐ and sunlight‐activatable luminescent particles (RSLPs) for both photochemical tissue bonding and photobiomodulation. RSLPs harvest ambient light and emit red luminescence to drive chlorin e6–mediated collagen crosslinking.
Kyungjoo Jo +12 more
wiley +1 more source
Field‐programmed anisotropy imparts material‐level intelligence to soft composites. Magnetic torque dynamics drive magneto‐piezoelectric nanowires from random dispersion into deterministic axial alignment. The resulting hierarchical percolation networks confine electromechanical coupling to specific axes and intrinsically decouple superposed force ...
Yubin Kim +9 more
wiley +1 more source

